Python is one of the most popular programming languages for data analysis—and it’s easier to learn than you might think. Whether you’re coming from Excel, BI tools, finance, or another programming background, this course will help you build a strong foundation in Python for working with data. You’ll start by setting up your environment with Anaconda and Jupyter Notebooks, then learn the core building blocks of Python: variables, data types, and data structures. From there, you’ll explore how to manipulate and analyze data using operators and functions, and write more advanced logic with conditionals and loops. By the end of the course, you’ll be confident writing basic Python code to structure and prepare data for analysis.
Getting Started with Python
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Install Anaconda and Jupyter, use variables, data types, structures, operators, functions, loops, and conditionals for analysis and coding skills.
Details to know
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Assessments
1 assignment
Taught in English
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There are 7 modules in this course
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