Data Science R

Free

Course Content

Total learning: 19 lessons

Module 1 Foundations of Date Science: Data Visualization and Interpretation 0/4
- Lecture1.1
  
  Part – 1 Preview
- Lecture1.2
  
  Part – 2 Preview
- Lecture1.3
  
  Part -3 Preview
- Lecture1.4
  
  Part- 4 Preview
Module 2 Data Wrangling and Data Imputation 0/5
- Lecture2.1
  
  Part – 5 Preview
- Lecture2.2
  
  Part – 6 Preview
- Lecture2.3
  
  Part – 7 Preview
- Lecture2.4
  
  Part – 8 Preview
- Lecture2.5
  
  Part – 9 Preview
Module 3 Predictive Analytics: Supervised Learning Algorithms 0/2
- Lecture3.1
  
  Part – 10 Preview
- Lecture3.2
  
  Part – 11 Preview
Module 4 Advanced Analytics 0/2
- Lecture4.1
  
  Part – 12 Preview
- Lecture4.2
  
  Part – 13 Preview
Module 5 0/1
- Lecture5.1
  
  Time series Analytics Preview
Module 6 Machine Learning Algorithms/AI 0/3
- Lecture6.1
  
  Part – 14 Preview
- Lecture6.2
  
  Part – 15 Preview
- Lecture6.3
  
  Artificial Intelligence Preview
Module 7 0/1
- Lecture7.1
  
  Advanced Analytics Suvervial Analysis Preview
Module 8 0/1
- Lecture8.1
  
  R Programming for Data Science Preview

Part – 1

Part -1 Referential details for Data science Business Analytics

Scope & Fact of Data Science and Business analytics
SWOT Analysis of Data Science Business Analytics
Introduction to Advanced Data Analytics
Journey Mathematics-Statistics-Econometrics
Flow chart for Data Science and Business Analytics
Data wherehouse conceptual discussions
Hadoop for Data Science
OLTP OLAP for Data information
Web Application report

Next Part – 2