Introductory Python for Analysts

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  • Course Start Date: September 23, 2020
  • Timezone: America/Toronto
  • Time: 1:30 PM - 3:00 PM
  • Duration: 1 hour and 30 minutes


September 23 @ 1:30 PM

Time Zone: America/Toronto

You will learn about Python programming for data analysis and its free programming environments, numerical and text variables and their manipulation, data arrays, functions, and data plotting. This course is designed for analysts, engineers and other quantitatively-driven professionals.

Python has become the tool of choice for data analysts and data scientists due to its comprehensive libraries for numerical modeling and simulation, statistical analysis, building machine learning algorithms and creating powerful visualizations. As a data, business, financial or risk analyst, you may be working predominantly with point-and-click desktop tools such as Excel. Adding Python’s data analytics libraries to your analyst’s toolbox will let you overcome many limitations of these traditional tools. You will be able to build data processing pipelines programmatically and access external storage and computational resources.

In this 90-min instructor-led course we will set up a free Python programming environment and will learn about numerical and text variables and their manipulation and visualization. We will also discuss the basic building blocks of Python programming for data analysis such as control statements, functions data arrays and data visualization.

After completing this course you will feel comfortable enough to take intermediate-level courses in exploratory data analysis, statistical analysis, text mining and introduction to machine learning with Python.