What You'll Learn
- Learn to program in Python at a good level
- Learn how to code in Jupiter Notebooks
- Learn the core principles of programming
- Learn how to create variables
- Learn about integer, float, logical, string and other types in Python
- Learn how to create a while() loop and a for() loop in Python
- Learn how to install packages in Python
- Understand the Law of Large Numbers
Best For
- Beginners with no prior programming experience looking to enter the data science field.
- Business analysts and researchers who need to automate data tasks and perform statistical analysis.
- Individuals who prefer a hands-on, exercise-based learning approach over pure theory.
Not For
- Software engineers looking for advanced curriculum on object-oriented programming or backend web development.
- Experienced data scientists who are already proficient in Python and libraries like Pandas or Scikit-learn.
- Students seeking a deep dive into computer science algorithms and data structure theory.
FAQ
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About the creator
Kirill Eremenko
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Reviews, Scores & Student Outcomes
Unclaimed ProfilePython A-Z™: Python For Data Science With Real Exercises offers an immersive and practical pathway for anyone looking to master Python specifically for analytical and data-driven roles. Designed by renowned instructor Kirill Eremenko, this course transitions learners from complete coding novices to capable programmers who can leverage Python for complex statistical analysis, data mining, and stunning data visualizations. The curriculum is meticulously structured around hands-on, real-world exercises, ensuring that students do not just watch lectures but actively write code in Jupyter Notebooks. Throughout the journey, participants will grasp fundamental programming principles, manipulate core data types—such as integers, floats, strings, and logical values—and control program flow using loops. Additionally, the course demystifies package installation and deepens mathematical intuition by exploring theories like the Law of Large Numbers. Whether you are an aspiring data scientist, a business analyst, or a researcher, this comprehensive training provides the exact coding foundations and practical confidence needed to excel in modern data analytics environments.
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