Syllabus

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Data-Analytics Syllabus - DOWNLOAD

Skilled data analysts are some of the most sought-after professionals in the world. Because demand is strong and the supply of people who can do this job well is limited, data analysts command higher-than-average salaries and perks, even at the entry level.

1. Introduction to Statistical Analysis

  • Counting,Probability and Probability Distributions
  • Sampling Distributions
  • Estimation and Hypothesis Testing
  • Scatter Diagram
  • Anova and Chisquare
  • Imputation Techniques
  • Data Cleaning
  • Correlation and Regression
  • Introduction to Data Analytics

2. Data Analytics Overview

  • Data Analytics Overview
  • Importance of Data Analytics
  • Types of Data Analytics
  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Benefits of Data Analytics
  • Data Visualization for Decision Making
  • Data Types, Measure Of central tendency, Measures of Dispersion
  • Graphical Techniques, Skewness & Kurtosis, Box Plot
  • Descriptive Stats
  • Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence interval