Python, R programming, Maths for Data Science

23 videos with Essentials Source Code

Author
Trainer: ShivPrasad Koirala

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.

Course Content

  • 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
  • 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
  • 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.

10 Lessons

03 Hours

World-class training and development programs developed by top teachers

Whats Included

  • World-class training teacher
  • Bench has zero learning curve
  • We handle the rest.