Online Data Science Course with R

Master the fundamentals of statistics and learn how to use R to apply Data Science in real cases

Nid: 28351
Syllabus
Academic Plan

1. Introduction to Data Science

  • Basic concepts and the role of data today
  • Life cycle of a Data Science project
  • Ethics and privacy in data management

2. Fundamentals of Statistics for Data Science

  • Basics; population, sample, and statistical parameters
  • Variables and measurement scales
  • Sampling, Methods, and Bias
  • Descriptive statistics
  • Probability and distributions
  • Statistical inference
  • Correlation and regression

3. Programming in R Language

  • Working environment and basics
  • Data manipulation; import, export, cleaning, and processing
  • Viewing and Creating Charts
  • Descriptive Statistics in R

4. Case Study

  • Problem statement and objectives
  • Data collection and preparation
  • Data analysis using R
  • Visualizing Results and Generating Reports
  • Interpretation of results, limitations, and improvements