Web Age Solutions Inc
Providing Technology Training and Mentoring For Modern Technology Adoption
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Manager Learning Series: How to Build your Data Science Team
Tuesday, January 26, 2021
12:30 to 3:00 PM ET

Presenter: Kevin Clements

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.


Duration: 2.5 hours

Related courses:
Applied Data Science with Python [WA2715]
Data Engineering Bootcamp (Using Python and PySpark) [WA3020]


Register for Free Live Webinar


In the Past Webinars section below you will find hundreds of  webinars in the above categories along with IT Webinars in other categories such as Cloud, Mainframe, SOA, IBM, Mobile and Microsoft webinars. Check out our Upcoming Webinars section to view our programs that will be presented in in the next 30-60 days.

Free Live and On Demand Webinars at Web Age Solutions


Web Age Free IT Webinars are designed to provide our users with the following:



  • Content on technologies or architectural patterns in the horizon – goal being dispelling myth, showing how you and your company can potentially apply this new technology or pattern to increase productivity and/or save money in the business side.
  • Content on technologies or architectural patterns that have gathered critical mass – our focus here is to cover the emerging best practices and addressing common misconceptions.
  • Topics relevant to current technologies or patterns in use – our focus is to cover advanced content on these topics after a basic introduction on these topics.

We run 3 to 4 of the Free IT webinars a month which are typically attended by 40 to 100 of your fellow IT practitioners. These webinars will cover a wide variety of topics including:

  • DevOps
  • JavaScript and JavaScript frameworks such as AngularJS and React
  • Data Science – including Machine Learning and Data Sciences
  • Architecture – Enterprise, Solution and Business Architecture
  • Agile
  • Java and Java Frameworks – Java, Spring Framework and various other topics.
US Inquiries / 1.877.517.6540
Canadian Inquiries / 1.877.812.8887