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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.
About the creator
Kirill Eremenko
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Kirill Eremenko is a seasoned data science consultant and lifestyle entrepreneur dedicated to making the complex world of data accessible, clear, and actionable for learners worldwide. With a background in finance and analytics, Kirill transitioned into online education to bridge the gap between academic theory and real-world application. His teaching philosophy centers on intuitive explanations rather than overwhelming mathematical jargon, helping students build solid conceptual foundations before diving into code. Through his bestselling courses like Machine Learning A-Z and Deep Learning A-Z, he has guided millions of students through Python, R, neural networks, and AI workflows. Kirill's unique approach combines…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
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.
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