Resolving Python for Data Analysis & Visualization

How to analyze any type of Data and highlight the conclusions using Python?

Learn Python's best practices to become a proficient programmer who can learn any concept independently and transform it into exponential knowledge for Data Visualization.

See the table of contents here.

🏋️ Focus on exercising practical use cases

Programming is all about practicing. Not theory ❌ 📚

Most courses out there explain more theory than practice, which induces the student into boredom and demotivation 😮‍💨

✅ This course is all about applying Python's best practices to practical use cases such as:

1. Data Analysis & Visualization for Countries 🌍
2. TSLA Stock Market Data 💰
3. The Energy System of a Country⚡
4. The Olympic Games Athletes 🏟️

🎹 Learn HOW to practice efficiently

But don't confuse quantity with quality 🤔; it's not about how many exercises you practice, but how you practice. For example:

1. You may have worked out 10 exercises but copy-pasted most of the solutions 🤷
2. If you were to create a programming solution, you'd struggle 🥵 to develop new ideas because you had overtrained your mind to copy-paste and memorize ❌

✅ On the other hand, if you train yourself to learn by deduction, you will remember the code forever so that you won't need to copy-paste anymore.

The materials of this course are strategically designed to help you deduce the code you need to solve the exercises.

❓ Ask for new explanatory videos

We have designed the framework Resolving Python by interacting with our students; that's why we quickly uncover abstract programming concepts in our video tutorials so that you understand them immediately.

But if you don't get the point across any concept, you can leave us the doubt in any of the videos, and you will receive an email with the answer in less than 24 hours.