Data Science webinars Recorded webinars Coming soon: • How to make the most of Tableau’s top 5 features? – March 19, 2021 • Data Engineering with Python – January 8, 2020 • Machine Learning with Apache Spark – December 12, 2019 • Hive Programming – June 26, 2019 Manager Learning Series: How to Build your Data Science Team Presenter: Kevin Clements Recording date: January 26, 2021 Duration: 2.5 hours Description: The ever-growing data lake, large structured and unstructured data sets organizations are faced with today requires a role which combines knowledge and skillset in areas of computer science, statistics, and mathematics. A well-trained data scientist must be comfortable with the many tools and techniques that assist to analyze, process, and model data constantly. They must use knowledge of industry, gain understanding, and doubt existing conventions to uncover solutions to business challenges from sources such as raw files, smart devices, social media, and other datasets that don’t generally fit into a database. Then interpret the results to create actionable plans for their organizations by utilizing both technology and social science to find trends, and manage data. A data engineer is responsible for the development and maintenance of data pipelines from the ever-growing data lake, large structured and unstructured data sets in the organization. The goal of data engineering is to architect and build pipelines that provide functionality, speed, scalability, and the reliability required by the organization to use data effectively. Data engineers utilize the various stages in a pipeline from acquisition and transport, to storage, processing and servicing continually improving their methods and practices. Today’s Data Engineer must become proficient at programming, learn automation and scripting, understand may different data stores, master data processing techniques, efficiently schedule workflows, know the ever changing cloud landscape, and keep up with trends. This comprehensive webinar will delve into today’s best tools and techniques that great data scientists utilize to efficiently and effectively understand outcomes from their datasets, and capture, transform and shape their data stores. Some of the Data Science tools explored – demo PySpark pulling csv file into spark database, python scikit-learn, AWS S3 csv file to database Glue and Athena, QuickSight visualization Some of the Data Engineering tools explored – demo python pulling csv file into database, resolve missing data, show merging AWS S3 csv files into database Glue and Athena SQL. Related courses: Applied Data Science with Python [WA2715] Data Engineering Bootcamp (Using Python and PySpark) [WA3020] Data Science in Insurance Series Including uncertainty and finding the edge Presenter: Evan Carey Recording date: December 2, 2020 Duration: 1 hour Description: In this webinar, we’ll give an introduction to Monte Carlo simulation methods for stochastic equations in the context of estimating portfolio risk. We’ll use Python with Pandas, NumPy, SciPy, and Seaborn to explore expected portfolio payout risk, given the size of the portfolio and underlying assumptions about the distribution of the rate and cost of events. Related courses: Introduction to Python and PySpark [WA2914] Applied Data Science [WA2592] Data Engineering with Python and PySpark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: November 6, 2020 Duration: 1 hour Description: In this webinar, we’ll discuss the capabilities of Python and PySpark, and the role they play in the data engineering space, both on a single machine, or on a cluster. Related courses: Introduction to Python and PySpark [WA2914] What is Snowflake? Presenter: Bhavuk Chawla Recording date: October 30, 2020 Duration: 1 hour Description: Are you also perturbed about Scalability, Performance and Cost of your existing Data Warehouses? We have a solution for you! Keep your gung-ho high, and join our live webinar on Snowflake. Snowflake provides Data Warehousing as a Service. It opens the door to numerous benefits including almost Zero maintenance, On Demand Scaling in just a few seconds, Simplifying Data Sharing, and Zero Copy Cloning etc. Topics: 1. Evolution of Data Warehousing Technologies 2. What is Snowflake? 3. Snowflake vs RedShift 4. Key Concepts 5. Snowflake Architecture 6. Setting up Snowflake Trial Account 7. Demo Related courses: SnowFlake [TP3018 ] Workflow Management with Apache Airflow Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: September 23, 2020 Duration: 1 hour Description: In this webinar we’ll discuss some of the aspects of Apache Airflow as related to workflow management. Airflow aims at taking the classical concept of a scheduled ETL process to the next level with the added value in the form of re-tries, backfills, scaling, and more. Related courses: Data Engineering with Python [WA2905] Technical Introduction to Robotic Process Automation (RPA) with UiPath Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: August 27, 2020 Duration: 1 hour Description: In this webinar we’ll discuss some of the topics related to Robotic Process Automation (RPA). RPA is an approach to process automation of repetitive tasks and workflows using “bots” (robots / smart agents), which goes a long way to unburden staff from dehumanizing “robotic” office activities. Related courses: Technical Introduction to Robotic Process Automation (RPA) with UiPath [WA2983] Data Engineering with Apache Hive and Spark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: July 9, 2020 Duration: 1 hour Description: In this webinar we’ll discuss core topics related to the Data Engineering discipline, and how Apache Hive and Apache Spark can help you achieve your Data Engineering goals in the realm of Big Data.Related courses: Data Engineering Bootcamp Training (Using Python and PySpark) [WA3020] Data Science for Managers Presenter: Jemma Nelson Recording date: May 21, 2020 Duration: 5 hours Description: Chapter 1. Defining Data Science Chapter 2. Data Processing Phases Chapter 3. Data Science and Machine Learning Terminology and Algorithms Chapter 4. Repairing and Normalizing Data Chapter 5. Data Visualization Related courses: Data Science and Big Data Analytics [WA2688] Operational Data Analytics with Splunk Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: May 22, 2020 Duration: 1 hour Description: In this webinar we’ll review Splunk Platform’s capabilities for data onboarding and searching. Related courses: WA2952 Operational Data Analytics with Splunk Applied Data Science using Python Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: April 23, 2020 Duration: 1 hour Description: In this webinar we’ll talk about how you can use Python in the realm of applied data science. We’ll review specialized Python libraries like NumPy, pandas, and scikit-learn that aid data science practitioners in solving practical problems using supervised, and unsupervised machine learning. Related courses: WA2715 Applied Data Science with Python Advanced Data Analytics with PySpark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: March 20, 2020 Duration: 1 hour Description: In this webinar we will review common tasks that can be solved with PySpark. Examples will include SQL (DataFrame)-centric processing, creating pivot tables, and EDA. Related courses: WA2936 Advanced Data Analytics with PySpark Data Engineering with Python <p>Presenter: Mikhail Vladimirov<br /> Recording date: January 8, 2020<br /> Duration: 2.5 hrs.</p> <div class="webinar-description">Description: Data engineering is a software engineering practice with focus on design, development, and the productionizing of data processing systems. It includes all the practical aspects of data acquisition, transfer, transformation, and storage on-prem or in the cloud.<br /> This workshop teaches students how to apply Python to the practical aspects of data engineering, and introduces popular Python libraries used in the field, including NumPy, pandas, Matplotlib, scikit-learn, and Apache Spark.</div> </div> </div> <p>***************************************************** </p> <div class="webinar-box" style="border-radius: 10px;"> <h2>Machine Learning with Apache Spark</h2> <p><iframe class="skip-lazy" xxx <div> <p>Presenter: Mikhail Vladimirov, Director of Curriculum Architecture<br /> Recording date: December 12, 2019<br /> Duration: 60 minutes</p> <div class="webinar-description"> <p>Description: In this webinar we will review the core capabilities of Apache Spark in the area of Machine Learning.</p> <p><strong>Related courses:</strong><br /> <a href="https://www.webagesolutions.com/courses/WA2845-practical-machine-learning-with-apache-spark">WA2845 Practical Machine Learning with Apache Spark</a></p> </div> </div> </div> <p>***************************************************** –></p> <div class="webinar-box" style="border-radius: 10px;"> <h2>Data Engineering with Python</h2> <div><iframe class="skip-lazy" src="https://www.youtube.com/embed/R2Kr2ELpwQI" width="560" height="315" frameborder="0" allowfullscreen="allowfullscreen"> Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: November 7, 2019 Duration: 60 minutes Description: In this webinar, we’ll review the core capabilities of Python that enable developers to solve a variety of data engineering problems. We’ll also review NumPy and pandas libraries, with a focus on such topics as the need for understanding your data, selecting the right data types, improving performance of your applications, common data repairing techniques, and so on. Related courses: WA2905 Data Engineering with Python PySpark for Data Engineering and Machine Learning Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: September 20, 2019 Duration: 60 min. Description: In this webinar we will review the core capabilities of PySpark as well as PySpark’s areas of specialization in data engineering, ETL, and Machine Learning use cases. Related courses: WA2845 Practical Machine Learning with Apache Spark An introduction to Data Science for Managers Presenter: Doug Rose Recording date: January 22, 2019 Duration: 2.5 hours Description: This course gives managers a foundation for leading data-driven projects. It is an introduction to the major concepts of data-driven teams and data specific project challenges. This is not a data analytics or programming course. This is a project management course. The focus of the course will be on managing a data-driven team and gaining insights from your data.The goals for the course are very practical: • Introduce project managers to data science terms, tools and the team • Introduce project managers to a data-science lifecycle • Understand challenges that are specific to data-driven projects Audience: Project Managers, Business Analysts, Managers, Directors Course Outline:Introduction to Big Data • Big Data History • What is Big Data? • Big Data Definition • What Big Data Isn’t • Big Data ExampleThe Data-Science Lifecycle • A Typical Data Science Product • What are Big Data Projects? • Applying the SDLC to Data Driven Products • A Data Science Lifecycle (DSLC) The Data Science Team • Traditional Project Team Roles • The Data Science Team Roles • The Knowledge Explorer • Analysis Versus Reporting • Asking Questions • Learning Data-Science Team Tools • Insight Board • Creating an Insight Board Related courses: TP2805 Managing Data-Driven Projects: Building a Creative Data Science Data Science using Python Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: November 29, 2018 Duration: 1 hour Description: In this webinar, we will talk about how you can use Python in the realm of applied data science. Python leverages specialized libraries like NumPy, pandas, and scikit-learn to aid data science practitioners in solving problems related to regression, sample classification, clustering and other data science problems. Related courses: WA2715 Applied Data Science with Python AI for managers Presenter: Virginia G. Fitzpatrick Recording date: November 15, 2018 Duration: 1 hour Description: This one hour webinar will introduce the participant to an assortment of machine learning technologies. We will start with a definition of Artificial Intelligence then move into the relationship between Artificial Intelligence and Neural Networks. Next we will explore the three types of Machine Learning (Supervised, Unsupervised and Reinforcement). We will also address common indicators used to define the quality of a machine learning model. The session wraps up with brief demonstration of a custom built python model as well as demonstrations using the 4 major AI vendors (Amazon, Google, IBM & Microsoft). Related courses: WA2713 Artificial Intelligence for Managers AI for Managers Presenter: Bibhas Bhattacharya Recording date: March 9, 2018 Duration: 1.5 hours Description: Machine Learning can help businesses reengineer their processes for higher revenue, higher customer satisfaction and lower cost. In this short course we will explore how exactly machines learn. We will then investigate a few AI techniques that businesses can use today to improve their performance. Related courses: WA2713 Artificial Intelligence for Managers Machine Learning with Apache Spark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: February 16, 2018 Duration: 3 hours Description: To stay competitive, organizations have started adopting new approaches to data processing and analysis. For example, data scientists are turning to Apache Spark for processing massive amounts of data using Apache Spark’s distributed compute capability and its built-in Machine Learning (ML) libraries. In this webinar, we will talk about Spark’s machine learning libraries and select ML algorithms. Applied Data Science using Python Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: March 9, 2018 Duration: 1 hour Description: In this webinar we will talk about how you can use Python in the realm of applied data science. Python leverages specialized libraries like NumPy, pandas, and scikit-learn to aid data science practitioners in solving problems related to regression, sample classification, clustering and such like. Related courses: WA2715 Applied Data Science with Python Using R as a tool in Data Science Projects Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: February 22, 2018 Duration: 1 hour Description: R has won itself a solid reputation in the data analysis realm. In this webinar we will talk about some aspects of this programming language and its libraries that make it an indispensable tool for data science projects. Related courses: WA2592 Applied Data Science and Big Data Analytics Introduction to Talend Presenter: Bhavuk Chawla Recording date: January 30, 2018 Duration: 1 hour Description: Talend has been recognized by Gartner as a Leader in open source integration solutions. This webinar focuses on providing a quick introduction to Talend Unified Platform. This unified platform enables and empowers organizations to focus on their business objectives by minimizing effort/cost w.r.t. Data Integration, ETL, Data Quality, Master Data Management, Application Integration and Business Process Management. Related courses: WA2700 Introduction to Talend Getting Started with Apache NiFi Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: January 25, 2018 Duration: 1 hour Description: Apache NiFi is a distributed scalable framework for data routing, transformation, and system mediation. In this webinar, you will learn all you need to know about this versatile framework so you can start using it in your data transfer and data transformation projects. Related courses: WA2341 Hadoop Programming on the Cloudera Platform Apache Kafka Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: November 10, 2017 Duration: 1 hour Description: Apache Kafka is a distributed, scalable, and fault-tolerant platform for handling real-time large data feeds, which offers near network processing speeds. In this webinar, we will review Kafka’s architecture and ways to interface with it. Related courses: Big Data training MongoDB – A Database for the Modern World Presenter: David Chung Recording date: November 2, 2017 Duration: 1 hour Description: This webinar will introduce MongoDB, a database for the modern world. MongoDB is not an RDBMS instead it is a NOSQL database. Data is stored in BSON format, a binary equivalent to JSON and it is designed to be scalable to support massive data sets. MongoDB also supports sharded and allows processes like Map/Reduce to be implemented across clustered servers. Related courses: WA2266 Development with MongoDB Applied Data Science and Big Data Analytics overview Presenter: Mikhail Vladimirov Recording date: October 20, 2017 Duration: 2 1/2 hours Description: • Applied Data Science and Business Analytics • Algorithms, Techniques and Common Analytical Methods • Machine Learning Introduction • Visualizing and Reporting Processed Results • The R Programming Language • Elements of Functional Programming • Apache Spark Introduction Related courses: WA2592 Applied Data Science and Big Data Analytics Data Science for Solution Architects Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: May 24, 2017 Duration: 1 hour Description: In this webinar, we will talk about some of the popular data science algorithms, analytical methods, tools and systems used in the desktop environment as well as in the clustered environments (Hadoop). Related courses: WA2393 Data Science for Solution Architects Hadoop for Managers Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: April 25, 2017 Duration: 1 hour Description: This webinar will help technical managers understand the value proposition of Hadoop and Hadoop-centric products for their organizations. We will discuss a number of Hadoop-related topics, including Hadoop Distributed File System (HDFS), MapReduce, Apache Pig, Apache Hive, and Apache Spark. Related courses: WA2622 Hadoop Programming on the Hortonworks Data Platform for Managers WA2341 Hadoop Programming on the Cloudera Platform Machine Learning Algorithms in Apache Spark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture at WebAge Solutions Inc. Recording date: October 13, 2016 Duration: 1 hour Description: Out of the box Apache Spark comes with an array of machine learning algorithms implemented to run in distributed mode. In this webinar, we will take a look at some of those algorithms to see how they can help you with your Data Science agenda.Related courses: Top 10 Trends in 2016 IT Landscape Presenter: Web Age Solutions Inc. Recording date: April 14, 2016 Duration: 1 hour Description: In this webinar, the top 10 trends in 2016 IT landscape will be discussed. The trends covered will include Mobile Development, DevOps, Agile, Cloud and Big Data. MongoDB — The More Important Features Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: October 15, 2015 Duration: 1 hour Description: MongoDB is becoming increasingly popular with developers and IT architects. Dynamic data model based on JSON of this document-oriented NoSQL system promotes high levels of development and business agility. MongoDB provides support for rich queries, as well as single and composite indexes — features that are usually found only in traditional RDBMS systems. This webinar is a quick introduction to MongoDB with a review of some of its more important features that make it so powerful. To Spark or Not to Spark? Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: August 28, 2015 Duration: 1 hour Description: Spark is seen by some Big Data practitioners as a disruptive technology that may render the Hadoop’s MapReduce programming model obsolete. This webinar will make an attempt to discuss Spark’s value proposition in an objective way. Hadoop Programming Options Presenter: Mikhail Vladimirov, Director of Curriculum Architecture, Web Age Solutions Inc. Recording date: July 23, 2015 Duration: 1 hour Description: This webinar will introduce the audience to some of the recent updates to Hadoop product ecosystem and MapReduce programming options. We will discuss YARN’s value proposition, Hive and Sqoop updates Introduction to Apache Spark Presenter: John Kidd Recording date: April 30, 2015 Duration: 1 hour Description: Are you hearing a LOT about Apache Spark? Find out why in this 1-hour webinar which addresses: • What is spark • Why so much talk about Spark • How does spark compare with MapReduce • How does Spark fit in with the rest of the Hadoop Ecosystem Introduction to Big Data and NoSQL Presenter: Kyle Gabhart, Web Age Solutions Inc. Recording date: March 2015 Duration: 1 hour Description: This webinar will help IT managers and developers to learn the fundamental concepts of and ideas behind Big Data / NoSQL technologies. Big Data Business Intelligence and Analytics for Business Analysts Presenter: Brad Brown, Web Age Solutions Inc. Recording date: March 31, 2015 Duration: 1 hour Description: In this webinar, participants will learn about: • MapReduce Programming Model • Data Querying and Processing with Hadoop • Amazon Elastic MapReduce • Google App Engine • MongoDB Query Language • HiveQL Microservices Presenter: Mikhail Vladimirov, Director of Curriculum Architecture, Web Age Solutions Inc. Recording date: March 5, 2015 Duration: 1 hour Description: The term “Microservice” has recently been coined to describe a rapidly provisionable, independently deployable service with narrow and distinct functionality that is accessible over common communication protocols. As is often the case with new IT technology terms, the term Microservice is viewed by many as too fuzzy and misleading similar to terms NoSQL and Big Data. In this webinar, we will try to see if we can make sense of it. Managing Big Data Using Hadoop Clusters Presenter: Niranjan Pandey Recording date: October 28, 2014 Duration: 1 hour Description: Enterprises are facing challenges with increasing volume,variety and varisty of data. This webinar provides analysis of big data challenges and provides various alternatives to turn those challenges into opportunity. This Webinar also provides a practical implementation of Hadoop cluster to handle big data with substantial coverage of installation, configuration, planning and implementation of Hadoop cluster to manage big data in productive way. Data Science for Solution Architects Presenter: Mikhail Vladimirov, Director of Curriculum Architecture, Web Age Solutions Inc. Recording date: May 8, 2014 Duration: 1 hour Description: Business success of organizations in the information age largely depends on their ability to cost-effectively convert massive amounts of raw data coming from various sources into high-grade business information. In many organizations, Solution Architects are called upon to provide the much needed “data-to-information” conversion solutions. This webinar will provide an overview of the value proposition, methodology and techniques of the emerging Data Science discipline as well as introduce the attendees to a number of existing production-ready technologies and capabilities that enable enterprises to build cost-efficient Big Data processing solutions. Hadoop Programming Presenter: Mikhail Vladimirov, Director of Curriculum Architecture, Web Age Solutions Inc. Recording date: January 22, 2014 Duration: 60 minutes Description: This webinar will introduce the audience to the Hadoop ecosystem and MapReduce programming. Hadoop and Hadoop Distributed File System (HDFS) design principles will be explained. Quick overview of the Pig Scripting Platform, Hive and Cloudera Impala will be provided. Using R as a tool for Business Analytics Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: November 13, 2013 Duration: 60 minutes Description: R offers a free yet powerful platform for conducting statistical analysis as well as supervised and unsupervised machine learning that helps analysts and data scientists gain business insights in raw data sets. Demystifying Big Data for managers and developers Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: March 26, 2013 Duration: 60 minutes Description: Many organizations are overwhelmed by the sheer volume of information they have to process in order to stay competitive. Traditional database systems may become either prohibitively expensive to handle the exponential growth of data volumes or found unsuitable for the job. This webinar will help IT managers and developers to learn the fundamental concepts of and ideas behind Big Data / NoSQL technologies as well as demystify some of the buzzwords. Data Science Webinars was last modified: April 15th, 2021 by admin
Data Science webinars Recorded webinars Coming soon: • How to make the most of Tableau’s top 5 features? – March 19, 2021 • Data Engineering with Python – January 8, 2020 • Machine Learning with Apache Spark – December 12, 2019 • Hive Programming – June 26, 2019 Manager Learning Series: How to Build your Data Science Team Presenter: Kevin Clements Recording date: January 26, 2021 Duration: 2.5 hours Description: The ever-growing data lake, large structured and unstructured data sets organizations are faced with today requires a role which combines knowledge and skillset in areas of computer science, statistics, and mathematics. A well-trained data scientist must be comfortable with the many tools and techniques that assist to analyze, process, and model data constantly. They must use knowledge of industry, gain understanding, and doubt existing conventions to uncover solutions to business challenges from sources such as raw files, smart devices, social media, and other datasets that don’t generally fit into a database. Then interpret the results to create actionable plans for their organizations by utilizing both technology and social science to find trends, and manage data. A data engineer is responsible for the development and maintenance of data pipelines from the ever-growing data lake, large structured and unstructured data sets in the organization. The goal of data engineering is to architect and build pipelines that provide functionality, speed, scalability, and the reliability required by the organization to use data effectively. Data engineers utilize the various stages in a pipeline from acquisition and transport, to storage, processing and servicing continually improving their methods and practices. Today’s Data Engineer must become proficient at programming, learn automation and scripting, understand may different data stores, master data processing techniques, efficiently schedule workflows, know the ever changing cloud landscape, and keep up with trends. This comprehensive webinar will delve into today’s best tools and techniques that great data scientists utilize to efficiently and effectively understand outcomes from their datasets, and capture, transform and shape their data stores. Some of the Data Science tools explored – demo PySpark pulling csv file into spark database, python scikit-learn, AWS S3 csv file to database Glue and Athena, QuickSight visualization Some of the Data Engineering tools explored – demo python pulling csv file into database, resolve missing data, show merging AWS S3 csv files into database Glue and Athena SQL. Related courses: Applied Data Science with Python [WA2715] Data Engineering Bootcamp (Using Python and PySpark) [WA3020] Data Science in Insurance Series Including uncertainty and finding the edge Presenter: Evan Carey Recording date: December 2, 2020 Duration: 1 hour Description: In this webinar, we’ll give an introduction to Monte Carlo simulation methods for stochastic equations in the context of estimating portfolio risk. We’ll use Python with Pandas, NumPy, SciPy, and Seaborn to explore expected portfolio payout risk, given the size of the portfolio and underlying assumptions about the distribution of the rate and cost of events. Related courses: Introduction to Python and PySpark [WA2914] Applied Data Science [WA2592] Data Engineering with Python and PySpark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: November 6, 2020 Duration: 1 hour Description: In this webinar, we’ll discuss the capabilities of Python and PySpark, and the role they play in the data engineering space, both on a single machine, or on a cluster. Related courses: Introduction to Python and PySpark [WA2914] What is Snowflake? Presenter: Bhavuk Chawla Recording date: October 30, 2020 Duration: 1 hour Description: Are you also perturbed about Scalability, Performance and Cost of your existing Data Warehouses? We have a solution for you! Keep your gung-ho high, and join our live webinar on Snowflake. Snowflake provides Data Warehousing as a Service. It opens the door to numerous benefits including almost Zero maintenance, On Demand Scaling in just a few seconds, Simplifying Data Sharing, and Zero Copy Cloning etc. Topics: 1. Evolution of Data Warehousing Technologies 2. What is Snowflake? 3. Snowflake vs RedShift 4. Key Concepts 5. Snowflake Architecture 6. Setting up Snowflake Trial Account 7. Demo Related courses: SnowFlake [TP3018 ] Workflow Management with Apache Airflow Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: September 23, 2020 Duration: 1 hour Description: In this webinar we’ll discuss some of the aspects of Apache Airflow as related to workflow management. Airflow aims at taking the classical concept of a scheduled ETL process to the next level with the added value in the form of re-tries, backfills, scaling, and more. Related courses: Data Engineering with Python [WA2905] Technical Introduction to Robotic Process Automation (RPA) with UiPath Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: August 27, 2020 Duration: 1 hour Description: In this webinar we’ll discuss some of the topics related to Robotic Process Automation (RPA). RPA is an approach to process automation of repetitive tasks and workflows using “bots” (robots / smart agents), which goes a long way to unburden staff from dehumanizing “robotic” office activities. Related courses: Technical Introduction to Robotic Process Automation (RPA) with UiPath [WA2983] Data Engineering with Apache Hive and Spark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: July 9, 2020 Duration: 1 hour Description: In this webinar we’ll discuss core topics related to the Data Engineering discipline, and how Apache Hive and Apache Spark can help you achieve your Data Engineering goals in the realm of Big Data.Related courses: Data Engineering Bootcamp Training (Using Python and PySpark) [WA3020] Data Science for Managers Presenter: Jemma Nelson Recording date: May 21, 2020 Duration: 5 hours Description: Chapter 1. Defining Data Science Chapter 2. Data Processing Phases Chapter 3. Data Science and Machine Learning Terminology and Algorithms Chapter 4. Repairing and Normalizing Data Chapter 5. Data Visualization Related courses: Data Science and Big Data Analytics [WA2688] Operational Data Analytics with Splunk Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: May 22, 2020 Duration: 1 hour Description: In this webinar we’ll review Splunk Platform’s capabilities for data onboarding and searching. Related courses: WA2952 Operational Data Analytics with Splunk Applied Data Science using Python Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: April 23, 2020 Duration: 1 hour Description: In this webinar we’ll talk about how you can use Python in the realm of applied data science. We’ll review specialized Python libraries like NumPy, pandas, and scikit-learn that aid data science practitioners in solving practical problems using supervised, and unsupervised machine learning. Related courses: WA2715 Applied Data Science with Python Advanced Data Analytics with PySpark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: March 20, 2020 Duration: 1 hour Description: In this webinar we will review common tasks that can be solved with PySpark. Examples will include SQL (DataFrame)-centric processing, creating pivot tables, and EDA. Related courses: WA2936 Advanced Data Analytics with PySpark Data Engineering with Python <p>Presenter: Mikhail Vladimirov<br /> Recording date: January 8, 2020<br /> Duration: 2.5 hrs.</p> <div class="webinar-description">Description: Data engineering is a software engineering practice with focus on design, development, and the productionizing of data processing systems. It includes all the practical aspects of data acquisition, transfer, transformation, and storage on-prem or in the cloud.<br /> This workshop teaches students how to apply Python to the practical aspects of data engineering, and introduces popular Python libraries used in the field, including NumPy, pandas, Matplotlib, scikit-learn, and Apache Spark.</div> </div> </div> <p>***************************************************** </p> <div class="webinar-box" style="border-radius: 10px;"> <h2>Machine Learning with Apache Spark</h2> <p><iframe class="skip-lazy" xxx <div> <p>Presenter: Mikhail Vladimirov, Director of Curriculum Architecture<br /> Recording date: December 12, 2019<br /> Duration: 60 minutes</p> <div class="webinar-description"> <p>Description: In this webinar we will review the core capabilities of Apache Spark in the area of Machine Learning.</p> <p><strong>Related courses:</strong><br /> <a href="https://www.webagesolutions.com/courses/WA2845-practical-machine-learning-with-apache-spark">WA2845 Practical Machine Learning with Apache Spark</a></p> </div> </div> </div> <p>***************************************************** –></p> <div class="webinar-box" style="border-radius: 10px;"> <h2>Data Engineering with Python</h2> <div><iframe class="skip-lazy" src="https://www.youtube.com/embed/R2Kr2ELpwQI" width="560" height="315" frameborder="0" allowfullscreen="allowfullscreen"> Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: November 7, 2019 Duration: 60 minutes Description: In this webinar, we’ll review the core capabilities of Python that enable developers to solve a variety of data engineering problems. We’ll also review NumPy and pandas libraries, with a focus on such topics as the need for understanding your data, selecting the right data types, improving performance of your applications, common data repairing techniques, and so on. Related courses: WA2905 Data Engineering with Python PySpark for Data Engineering and Machine Learning Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: September 20, 2019 Duration: 60 min. Description: In this webinar we will review the core capabilities of PySpark as well as PySpark’s areas of specialization in data engineering, ETL, and Machine Learning use cases. Related courses: WA2845 Practical Machine Learning with Apache Spark An introduction to Data Science for Managers Presenter: Doug Rose Recording date: January 22, 2019 Duration: 2.5 hours Description: This course gives managers a foundation for leading data-driven projects. It is an introduction to the major concepts of data-driven teams and data specific project challenges. This is not a data analytics or programming course. This is a project management course. The focus of the course will be on managing a data-driven team and gaining insights from your data.The goals for the course are very practical: • Introduce project managers to data science terms, tools and the team • Introduce project managers to a data-science lifecycle • Understand challenges that are specific to data-driven projects Audience: Project Managers, Business Analysts, Managers, Directors Course Outline:Introduction to Big Data • Big Data History • What is Big Data? • Big Data Definition • What Big Data Isn’t • Big Data ExampleThe Data-Science Lifecycle • A Typical Data Science Product • What are Big Data Projects? • Applying the SDLC to Data Driven Products • A Data Science Lifecycle (DSLC) The Data Science Team • Traditional Project Team Roles • The Data Science Team Roles • The Knowledge Explorer • Analysis Versus Reporting • Asking Questions • Learning Data-Science Team Tools • Insight Board • Creating an Insight Board Related courses: TP2805 Managing Data-Driven Projects: Building a Creative Data Science Data Science using Python Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: November 29, 2018 Duration: 1 hour Description: In this webinar, we will talk about how you can use Python in the realm of applied data science. Python leverages specialized libraries like NumPy, pandas, and scikit-learn to aid data science practitioners in solving problems related to regression, sample classification, clustering and other data science problems. Related courses: WA2715 Applied Data Science with Python AI for managers Presenter: Virginia G. Fitzpatrick Recording date: November 15, 2018 Duration: 1 hour Description: This one hour webinar will introduce the participant to an assortment of machine learning technologies. We will start with a definition of Artificial Intelligence then move into the relationship between Artificial Intelligence and Neural Networks. Next we will explore the three types of Machine Learning (Supervised, Unsupervised and Reinforcement). We will also address common indicators used to define the quality of a machine learning model. The session wraps up with brief demonstration of a custom built python model as well as demonstrations using the 4 major AI vendors (Amazon, Google, IBM & Microsoft). Related courses: WA2713 Artificial Intelligence for Managers AI for Managers Presenter: Bibhas Bhattacharya Recording date: March 9, 2018 Duration: 1.5 hours Description: Machine Learning can help businesses reengineer their processes for higher revenue, higher customer satisfaction and lower cost. In this short course we will explore how exactly machines learn. We will then investigate a few AI techniques that businesses can use today to improve their performance. Related courses: WA2713 Artificial Intelligence for Managers Machine Learning with Apache Spark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: February 16, 2018 Duration: 3 hours Description: To stay competitive, organizations have started adopting new approaches to data processing and analysis. For example, data scientists are turning to Apache Spark for processing massive amounts of data using Apache Spark’s distributed compute capability and its built-in Machine Learning (ML) libraries. In this webinar, we will talk about Spark’s machine learning libraries and select ML algorithms. Applied Data Science using Python Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: March 9, 2018 Duration: 1 hour Description: In this webinar we will talk about how you can use Python in the realm of applied data science. Python leverages specialized libraries like NumPy, pandas, and scikit-learn to aid data science practitioners in solving problems related to regression, sample classification, clustering and such like. Related courses: WA2715 Applied Data Science with Python Using R as a tool in Data Science Projects Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: February 22, 2018 Duration: 1 hour Description: R has won itself a solid reputation in the data analysis realm. In this webinar we will talk about some aspects of this programming language and its libraries that make it an indispensable tool for data science projects. Related courses: WA2592 Applied Data Science and Big Data Analytics Introduction to Talend Presenter: Bhavuk Chawla Recording date: January 30, 2018 Duration: 1 hour Description: Talend has been recognized by Gartner as a Leader in open source integration solutions. This webinar focuses on providing a quick introduction to Talend Unified Platform. This unified platform enables and empowers organizations to focus on their business objectives by minimizing effort/cost w.r.t. Data Integration, ETL, Data Quality, Master Data Management, Application Integration and Business Process Management. Related courses: WA2700 Introduction to Talend Getting Started with Apache NiFi Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: January 25, 2018 Duration: 1 hour Description: Apache NiFi is a distributed scalable framework for data routing, transformation, and system mediation. In this webinar, you will learn all you need to know about this versatile framework so you can start using it in your data transfer and data transformation projects. Related courses: WA2341 Hadoop Programming on the Cloudera Platform Apache Kafka Presenter: Mikhail Vladimirov, Director of Curriculum Architecture Recording date: November 10, 2017 Duration: 1 hour Description: Apache Kafka is a distributed, scalable, and fault-tolerant platform for handling real-time large data feeds, which offers near network processing speeds. In this webinar, we will review Kafka’s architecture and ways to interface with it. Related courses: Big Data training MongoDB – A Database for the Modern World Presenter: David Chung Recording date: November 2, 2017 Duration: 1 hour Description: This webinar will introduce MongoDB, a database for the modern world. MongoDB is not an RDBMS instead it is a NOSQL database. Data is stored in BSON format, a binary equivalent to JSON and it is designed to be scalable to support massive data sets. MongoDB also supports sharded and allows processes like Map/Reduce to be implemented across clustered servers. Related courses: WA2266 Development with MongoDB Applied Data Science and Big Data Analytics overview Presenter: Mikhail Vladimirov Recording date: October 20, 2017 Duration: 2 1/2 hours Description: • Applied Data Science and Business Analytics • Algorithms, Techniques and Common Analytical Methods • Machine Learning Introduction • Visualizing and Reporting Processed Results • The R Programming Language • Elements of Functional Programming • Apache Spark Introduction Related courses: WA2592 Applied Data Science and Big Data Analytics Data Science for Solution Architects Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: May 24, 2017 Duration: 1 hour Description: In this webinar, we will talk about some of the popular data science algorithms, analytical methods, tools and systems used in the desktop environment as well as in the clustered environments (Hadoop). Related courses: WA2393 Data Science for Solution Architects Hadoop for Managers Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: April 25, 2017 Duration: 1 hour Description: This webinar will help technical managers understand the value proposition of Hadoop and Hadoop-centric products for their organizations. We will discuss a number of Hadoop-related topics, including Hadoop Distributed File System (HDFS), MapReduce, Apache Pig, Apache Hive, and Apache Spark. Related courses: WA2622 Hadoop Programming on the Hortonworks Data Platform for Managers WA2341 Hadoop Programming on the Cloudera Platform Machine Learning Algorithms in Apache Spark Presenter: Mikhail Vladimirov, Director of Curriculum Architecture at WebAge Solutions Inc. Recording date: October 13, 2016 Duration: 1 hour Description: Out of the box Apache Spark comes with an array of machine learning algorithms implemented to run in distributed mode. In this webinar, we will take a look at some of those algorithms to see how they can help you with your Data Science agenda.Related courses: Top 10 Trends in 2016 IT Landscape Presenter: Web Age Solutions Inc. Recording date: April 14, 2016 Duration: 1 hour Description: In this webinar, the top 10 trends in 2016 IT landscape will be discussed. The trends covered will include Mobile Development, DevOps, Agile, Cloud and Big Data. MongoDB — The More Important Features Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: October 15, 2015 Duration: 1 hour Description: MongoDB is becoming increasingly popular with developers and IT architects. Dynamic data model based on JSON of this document-oriented NoSQL system promotes high levels of development and business agility. MongoDB provides support for rich queries, as well as single and composite indexes — features that are usually found only in traditional RDBMS systems. This webinar is a quick introduction to MongoDB with a review of some of its more important features that make it so powerful. To Spark or Not to Spark? Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: August 28, 2015 Duration: 1 hour Description: Spark is seen by some Big Data practitioners as a disruptive technology that may render the Hadoop’s MapReduce programming model obsolete. This webinar will make an attempt to discuss Spark’s value proposition in an objective way. Hadoop Programming Options Presenter: Mikhail Vladimirov, Director of Curriculum Architecture, Web Age Solutions Inc. Recording date: July 23, 2015 Duration: 1 hour Description: This webinar will introduce the audience to some of the recent updates to Hadoop product ecosystem and MapReduce programming options. We will discuss YARN’s value proposition, Hive and Sqoop updates Introduction to Apache Spark Presenter: John Kidd Recording date: April 30, 2015 Duration: 1 hour Description: Are you hearing a LOT about Apache Spark? Find out why in this 1-hour webinar which addresses: • What is spark • Why so much talk about Spark • How does spark compare with MapReduce • How does Spark fit in with the rest of the Hadoop Ecosystem Introduction to Big Data and NoSQL Presenter: Kyle Gabhart, Web Age Solutions Inc. Recording date: March 2015 Duration: 1 hour Description: This webinar will help IT managers and developers to learn the fundamental concepts of and ideas behind Big Data / NoSQL technologies. Big Data Business Intelligence and Analytics for Business Analysts Presenter: Brad Brown, Web Age Solutions Inc. Recording date: March 31, 2015 Duration: 1 hour Description: In this webinar, participants will learn about: • MapReduce Programming Model • Data Querying and Processing with Hadoop • Amazon Elastic MapReduce • Google App Engine • MongoDB Query Language • HiveQL Microservices Presenter: Mikhail Vladimirov, Director of Curriculum Architecture, Web Age Solutions Inc. Recording date: March 5, 2015 Duration: 1 hour Description: The term “Microservice” has recently been coined to describe a rapidly provisionable, independently deployable service with narrow and distinct functionality that is accessible over common communication protocols. As is often the case with new IT technology terms, the term Microservice is viewed by many as too fuzzy and misleading similar to terms NoSQL and Big Data. In this webinar, we will try to see if we can make sense of it. Managing Big Data Using Hadoop Clusters Presenter: Niranjan Pandey Recording date: October 28, 2014 Duration: 1 hour Description: Enterprises are facing challenges with increasing volume,variety and varisty of data. This webinar provides analysis of big data challenges and provides various alternatives to turn those challenges into opportunity. This Webinar also provides a practical implementation of Hadoop cluster to handle big data with substantial coverage of installation, configuration, planning and implementation of Hadoop cluster to manage big data in productive way. Data Science for Solution Architects Presenter: Mikhail Vladimirov, Director of Curriculum Architecture, Web Age Solutions Inc. Recording date: May 8, 2014 Duration: 1 hour Description: Business success of organizations in the information age largely depends on their ability to cost-effectively convert massive amounts of raw data coming from various sources into high-grade business information. In many organizations, Solution Architects are called upon to provide the much needed “data-to-information” conversion solutions. This webinar will provide an overview of the value proposition, methodology and techniques of the emerging Data Science discipline as well as introduce the attendees to a number of existing production-ready technologies and capabilities that enable enterprises to build cost-efficient Big Data processing solutions. Hadoop Programming Presenter: Mikhail Vladimirov, Director of Curriculum Architecture, Web Age Solutions Inc. Recording date: January 22, 2014 Duration: 60 minutes Description: This webinar will introduce the audience to the Hadoop ecosystem and MapReduce programming. Hadoop and Hadoop Distributed File System (HDFS) design principles will be explained. Quick overview of the Pig Scripting Platform, Hive and Cloudera Impala will be provided. Using R as a tool for Business Analytics Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: November 13, 2013 Duration: 60 minutes Description: R offers a free yet powerful platform for conducting statistical analysis as well as supervised and unsupervised machine learning that helps analysts and data scientists gain business insights in raw data sets. Demystifying Big Data for managers and developers Presenter: Mikhail Vladimirov, Director, Curriculum Architecture, Web Age Solutions Inc. Recording date: March 26, 2013 Duration: 60 minutes Description: Many organizations are overwhelmed by the sheer volume of information they have to process in order to stay competitive. Traditional database systems may become either prohibitively expensive to handle the exponential growth of data volumes or found unsuitable for the job. This webinar will help IT managers and developers to learn the fundamental concepts of and ideas behind Big Data / NoSQL technologies as well as demystify some of the buzzwords. Data Science Webinars was last modified: April 15th, 2021 by admin
