We will learn Python from the starting and work on projects towards the end.

We will start with the basics of coding and get all the way to use input/output, conditionals, loops, functions, and how to implement them using Python! Expect to type in your own code and complete basic assignments on your own. This series is perfect for you if you don’t know any coding concepts at all. If you have learned a coding language before like Java or C++ the topics will be a bit too easy for you.

In this series, we will cover many different topics in Python to provide you with a solid foundation for your future work in Python. We will go from strings to variables to conditionals to loops all the way up to functions, with more along the way. You don't need any prior experience with Python or any other programming language. All you need is a laptop, a code editor and to have python setup. (In the first session, you will learn how to setup python and get a code editor) Note: These are not all the sessions planned, over time I will add more sessions.

This series will cover all basic Python topics like variables, control structures, loops, and functions.

Welcome to "Introduction to Data Science with Python" course! This is my second time hosting this course, and I have made adjustments and improvements from my first time. In this course, you'll learn how to use Python for data analysis and gain insights from large datasets. Python is a versatile language widely used in the data science community. You'll explore Python's fundamentals, including syntax and data structures. We'll also cover essential libraries such as NumPy, Pandas, and Matplotlib for efficient data manipulation and visualization. Through hands-on activities and projects, you'll develop the skills to analyze and present data effectively. By the end of this 17 session course, you will be an expert on the basics of data science, and you would have completed your very first data science case study project. Please note that there will be assignments after every session to best learn data science. Get ready for an exciting journey into the world of data science! :)