Python for Data Science – Hands On: 2-in-1

The markets of today are always open. With business happening round the clock, data is continuously being generated. If you know how, then you can extract useful information from this data This course teaches you how get your data to talk and tell you information that you can use to strengthen your business or organization.

This course begins by discussing what data science is and the role it can play in business development. You’ll then learn the basics of Jupyter, which is the environment that you’ll use for coding. Once you are comfortable with the basics, you’ll delve into the anatomy of Numpy and learn ways to use it to your advantage. you’ll learn how to create DataFrames and summarize and group data. As you progress, you’ll learn how to plot graphs using Seaborn and Matplotlib. As the course advances, you’ll be introduced to machine learning and explore ways to process data using techniques, such as k–means clustering and random forest. The later lectures show you how to finetune your application by optimizing the hyperparameters. Through linear and logistic regression, you’ll learn how to train and fit the regressor in the training set. Before the course concludes, you’ll also get an overview of unsupervised learning.