Operational Data Analytics with Splunk
In this webinar we’ll review Splunk Platform’s capabilities for data onboarding and searching.
Data Science for Managers
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…
Applied Data Science using Python
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,…
Advanced Data Analytics with PySpark
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.
Data Engineering with Python and PySpark
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…
Data Engineering with Python
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…
PySpark for Data Engineering and Machine Learning
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…
An introduction to Data Science for Managers
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…
Data Science using Python
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,…