Exploratory Data Analysis in Data Science https://WebToolTip.com Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 13m | Size: 994.97 MB
Learn EDA from basic to advanced data insights
What you'll learn
Learn techniques of data analysis like univariate, bivariate, multivariate analysis with data spread, data distortion, correlation using python
Learn to plot and analyze data distribution measurable patterns like Normal Distribution, Standard Normal, Poisson, Binomial distributions
Learn to reflect data analysis results as visualizations chart like Scatter chart, HeatMap, Histogram, Column Chart, BoxPlot etc
Case study based examples to learn data ingestion, cleanup, statistical measures, data dependency patterns, and predictive outcome of analysis for ML modeling
Enables a person to confidently apply learning concepts in business use-cases.
Requirements
Basic knowledge of python programming
Development environment like Google Colab, Jupyter notebook, Excel etc