Course Content
1. Fundamentals
0/2
1.1 Statistics
1.2 Probability and Probability Distributions
2. Data Science using R Programming
0/13
2.1 Introduction: What is Data Science?
2.2 Introduction to R
2.3 Basic Operations in R Programming
2.4 Data Handling in R Programming
2.5 R data structure
2.6 Using functions in R
2.7 Introduction To Machine Learning
2.8 Machine Learning Concepts & Terminologies
2.9 Linear Regression
2.10 Hypothesis Testing
2.11 Decision Trees And Supervised Learning
2.12 Unsupervised Classification Algorithms
2.13 Introduction to Deep Learning
Data Science based on R programming
About Lesson
  • What is data Science?
  • Importance of Data Science.
  • Demand for Data Science Professional.
  • Brief Introduction to Big data and Data Analytics.
    Lifecycle of data science.
  • Tools and Technologies used in data Science.
  • Business Intelligence vs Data Science.
  • Role of a data scientist.
Previous
Next