This Data Visualization and EDA module will equip you with the knowledge of Arrays, Basic Operations in Numpy, Indexing, and Array Processing.
Gain information related to Series, DataFrames, Indexing and Slicing, Groupby, Concatenating, Merging Joining, Missing Values, Operations, Data Input and Output, Pivot, and Cross tab.
Visualization with Matplotlib and Seaborn
Introduction to Matplotlib. Learn about Line plots, histograms, box, and Violin Plots, Scatterplot, Heatmaps, and Subplots, and how to use them in Data Science.
Learn in-depth about EDA on a dataset, analysis, and visualization, treating missing values, outlier detection and treatment, and feature engineering.
Gain knowledge of Web Scraping basics and libraries, web scraping advanced, and what machine learning is. Along with this, learn about Supervised versus unsupervised learning and Regression VS Classification.