Basic to Advance Python for Data Analysis - Part1 (12hrs)

🎓 **Python Programming For Beginners (Covering its Core Concepts) **🎉

Course Description:

Welcome to Part 1 of our journey into the world of Python, where we'll dive deep into the fundamental concepts that lay the foundation for data analysis. Whether you're a complete beginner or looking to solidify your understanding, this course is designed to guide you step by step through the core aspects of Python programming.

In this course, you'll learn:

• 📚 Introduction to Variables and Data Types: Understand what variables are and the different data types available in Python. Learn how to declare them and know why functions are crucial to understand the data type you're working with.

• 🔍 Mastering Operators: Get comfortable with in, not in, logical, comparison, and arithmetic operators. You'll learn to decipher error messages and fix your code accordingly.

• 🚫 Error Handling: Learn how to handle errors in Python, ensuring that your code is robust and can manage unexpected situations gracefully.

• ❓ Loops and Conditional Statements: Explore the power of loops (for and while) and conditional statements (IF, ELSE, Nested IFs), and understand their applications in practical scenarios.

• 🛠️ Functions in Python: Create user-defined functions and learn the rules that govern them. Understand variable scope - local vs global - and how it affects your code.

• 📊 Working with Lists and Tuples: Dive deep into Lists, Tuples, and their methods. Learn how to use them effectively within loops and in conjunction with IF statements for complex data manipulation.

• ✍️ Strings: Understand strings as a data type, their accessing approach, and the methods available to handle textual data efficiently.

• 🛡️ Error Handlers: Get introduced to error handlers such as try, except, and finally blocks, and learn how to use them to make your code more reliable.

• 🎲 Interactive Projects: Put your knowledge into practice with hands-on projects, like creating a guess-the-number game, identifying odd and even numbers, and calculating the highest medal wins using lists.

• ✨ F-Strings and Print Function: Discover the power of F strings and the various parameters available in the print function to enhance your output.

• 📦 Module Importing: Learn how to import modules and their functions within and outside your working directory, making your code modular and maintainable.

By the end of this course, you will have a solid grasp of Python's core concepts and be well-equipped to move on to more advanced data analysis techniques in Part 2.

Your Instructor: Ajay Parmar is an experienced Python developer and instructor who brings a wealth of knowledge and a passion for teaching. He will guide you through each concept with clarity, practical examples, and personal assistance to ensure your success.

Join us on this Python adventure and transform the way you approach data analysis! 🚀

Remember, this course is designed for beginners and those looking to reinforce their understanding of Python's core concepts. With hands-on projects and practical examples, you'll gain the skills necessary to start your journey in data analysis with confidence. Let's get started! 🧑‍💻✨

Enroll now and take the first step towards mastering Python for Data Analysis!