Python A-Z: Python For Data Science With Real Exercises!

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Go to Course: https://www.udemy.com/course/python-coding/

Introduction

Certainly! Here's a detailed review and recommendation of the Coursera course "Learn Python Programming by Doing" by Kirill Eremenko: --- **Course Review: "Learn Python Programming by Doing"** If you're looking to dive into Python programming and want a course that takes a practical, hands-on approach, "Learn Python Programming by Doing" on Coursera is an excellent choice. Designed by Kirill Eremenko, this course stands out from many others by emphasizing learning through real-world examples and progressive building of skills. **What Makes This Course Unique?** Unlike traditional programming courses that often bombard students with abstract concepts, this course adopts a step-by-step methodology. Each tutorial builds upon previous lessons, ensuring that learners assimilate new concepts gradually without feeling overwhelmed. The course is comprehensive yet approachable, catering to complete beginners as well as those with some coding experience. **Content & Practical Application** One of the key strengths of this course is its focus on applied learning. After each video, students learn a new concept that can be immediately applied to real-life analytical challenges. The course features numerous live examples and practical exercises, some of which are solved collaboratively, while others are assigned as homework. This approach fosters a deeper understanding of how to use Python for data analysis, visualization, and problem solving. **Course Topics & Skills** Students will gain a solid foundation in programming, including creating variables, understanding data types (integer, float, logical, string), and mastering control structures like "while" and "for" loops. The course also covers data visualization, teaching students how to create and style various plots such as histograms, KDE plots, and violin plots using Seaborn. These skills are invaluable for data analysis and statistical work. **Ideal For Whom?** The course is intentionally designed to be accessible to all skill levels, including those with no prior programming or statistical background. Whether you're a student, a professional looking to improve your data analysis skills, or someone interested in programming, you'll find this course engaging and attainable. **Final Thoughts & Recommendation** I highly recommend "Learn Python Programming by Doing" for anyone eager to learn Python in a practical, engaging manner. Its step-by-step approach, emphasis on real-world challenges, and supportive instructional style make it an excellent choice for beginners and intermediate learners alike. By the end of the course, you'll have not only learned Python fundamentals but also gained confidence in applying your skills to real data analysis tasks. **Enrol now and start your Python journey with Kirill Eremenko's expert guidance—it's a course that promises to make learning Python both effective and enjoyable!** ---

Overview

Learn Python Programming by doing!There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different!This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!I can't wait to see you in class,What you will learn: Learn the core principles of programmingLearn how to create variablesHow to visualize data in SeabornHow to create histograms, KDE plots, violin plots and style your charts to perfectionLearn about integer, float, logical, string and other types in PythonLearn how to create a while() loop and a for() loop in PythonAnd much more..Sincerely,Kirill Eremenko

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