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What you'll learn :In this videos series you will learn essential Mathematics required to learn Data Science, Python and R programming all in practicals step by step manner.
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Data Science - "R" programming ================================= Knowing all about related to and getting introduced to Data Science Intro with kick start to “R” programming and understanding "R" Data Structure Input Output with “R” programming More on Input in “R” programming and Transformation with “R” Statistics with “R” programming> Machine Learning - Part 1 Machine Learning - Part 2 Expose "R" programmes as web service and web applications Sample and Source code Learn Maths for Data science ================================ Lab 1 :- What is Data science? Lab 2 - Explain Descriptive Stats, Spread, Outlier and Quartiles in Data Science. Lab 3 - Standard Deviation, Normal Distribution & Emprical Rule. Lab 4 - The ZScore Calculation. Lab 5 - Explain Binomial Distribution. Part 1 - Online Maths - Data Science Training Part 2 - Online Maths - Data Science Training Part 3 - Online Maths - Data Science Training Part 4 - Online Maths - Data Science Training Part 5 - Online Maths - Data Science Training Learn Python Step by Step with Project ============================================= Lab 1 - Understand Python in 60 minutes. Lab 2 - What is Machine Learning, Models, BOW & other major fundamentals in Python? Lab 3:- Project 1:- Article Autotagging using Bag of words Lab 4: - Numpy Array & Pandas. Lab 5:- Importance of TF-IDF.