Great Learning brings you this live session on ‘Stats for Data Science’. In this session, you will be working on an end-to-end case study to understand different stages in the data science life cycle. This will deal with ‘data manipulation’ with pandas and Numpy, ‘data visualization’ with Matplotlib, and the basic statistics which are required. After Data manipulation, Data visualization, and the basic statistics an ML model will be built on the dataset to get predictions. You will learn about the basics of the Scikit-learn library to implement the machine learning algorithm.

#data-science #pandas #numpy #matplotlib #machine-learning