h264, yuv420p, 1280x720 | ENGLISH, aac, 44100 Hz, 2 channels, s16 | 15h 32 mn | 4.18 GB
Instructor: Ankit Mistry

Numpy, Pandas, Matplotlib, Scikit-Learn, WebScraping, Data Science, Machine Learning, Pyspark, statistics, Data Science

What you'll learn

You will Learn one of the most in demand skill of 21st century Data Science
Add Data science skills : python, numpy, pandas, plotly, tableau, machine learning, statistics, probability in your resume
Apply linear regression and logistics regression on real dataset.
Crash course on python
Apply matrix operation with Numpy - Numerical python library
Visualize your data with mother of all visualisation library available in Python : MatplotLIb
Perform Data analysis, wrangling and cleaning with pandas library
Get hands on with interactive visualisation library Plotly
Getting start with data visualization tool, Tableau
Data Pre-processing technique - Missing data, Normalization, one hot encoding,
Importing data in Python from different sources, Files
Web Scraping to download web page and extract data
Data scaling and transformation
Exploratory Data analysis
Feature engineering process in Machine Learning system design
Machine learning theory
Apache spark installation : pyspark
Getting started with spark session
Mathey required for machine learning : Statistics, probability
Setup Data Science Virtual machine on Microsoft Azure Cloud
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