Master data science & ai from fundamentals to advanced concepts with this comprehensive course.
In this course, you will learn Python libraries from scratch. So, if you don't have coding experience, that is very fine. NumPy and Pandas are necessary libraries to do data analysis and preprocessing.
In these course, most important concepts will be covered and after completing Pandas lectures, you will do Data Analysis exercise using Pandas for test score dataset. This is important step and aims to polish up your data preprocessing skill. Then, we will learn Matplotlib which is fundamental package for data visualization.
In these lectures, we will learn all necessary concepts for data visualization. After, we will dive into Seaborn, statistical package with beautiful charts. First we will explore most important and used charts using Seaborn's built-in dataset - tips.
After completing these lectures, we will dive into full data analysis and visualization exercise using complex datasets. Our first full data analysis exercise will be done using Netflix dataset where you will see how to do complex data preprocessing and applying Matplotlib functions to draw charts on progression and history. For second data analysis, dataset about diamond was used where you will explore Seaborn's full possibility.
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