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Introduction to Data Analysis

Definition of data analysis

Importance of data analysis in commerce

Types of data analysis

Data Collection Methods

Introduction to data collection methods

Types of data collection methods

Sampling methods

Data Cleaning and Preprocessing

Introduction to data cleaning and preprocessing

Data quality assessment

Techniques for handling missing data

Exploratory Data Analysis

Introduction to exploratory data analysis

Visualization techniques for data analysis

Descriptive statistics

Probability and Probability Distributions

Introduction to probability

Types of probability distributions

Probability distributions in commerce

Statistical Inference

Introduction to statistical inference

Hypothesis testing

Confidence intervals

Regression Analysis

Introduction to regression analysis

Types of regression analysis

Simple linear regression

Multiple Regression Analysis

Introduction to multiple regression analysis

Assumptions of multiple regression analysis

Model selection techniques

Time Series Analysis

Introduction to time series analysis

Types of time series analysis

Forecasting techniques

Data Mining Techniques

Introduction to data mining techniques

Types of data mining techniques

Applications of data mining in commerce

Machine Learning Algorithms

Introduction to machine learning algorithms

Types of machine learning algorithms

Applications of machine learning in commerce

Big Data Analytics

Introduction to big data analytics

Technologies used in big data analytics

Applications of big data analytics in commerce

Ethics in Data Analysis

Introduction to ethics in data analysis

Importance of ethical considerations in data analysis

Examples of unethical data analysis practices

Data Visualization Techniques

Introduction to data visualization techniques

Types of data visualization techniques

Best practices in data visualization

Case Studies in Data Analysis

Real-world examples of data analysis in commerce

Case studies on data analysis in various industries

Discussion on the future of data analysis

Recordings: June 2023

Session 1

Session 2

Session 3

Session 4

Session 5

Session 6

Session 7

Session 8

Session 9

Session 10

Session 11

Session 12

File: Session 12

File: Session 12

Session 13

File: Session 13

Recordings: August, 2023

Session 1

Session 2

Session 3

Session 4

Session 5

Session 6

Session 7

Session 8

Session 9

Session 10

Session 11

Session 12

Session 13

Session 14

Recordings: October, 2023

Session 1

Session 2

Session 3

Session 4

Session 5

Session 6

Session 7

Session 8

Session 9

Session 10

Session 11

Session 12

Session 13

Session 14

Session 15

Recordings: Dec'23

Introduction, Types of Data & Data Collection

Data cleaning and EDA

Averages

EDA continued

EDA continued

Probability

Conditional Probability and Bayes Theorem

Correlation

Regression

Regression

Hypotheses testing

Hypotheses testing

Recordings: April'24

Introduction

Session on 11th April

Session on 12th April

Session on 13th April

Session on 15th April

Session on 16th April

Session on 17th April

Session on 18th April

Session on 20th April

Session on 21st April

Session on 22nd April

Session on 23rd April

Session on 24th April

Session on 25th April

Session on 26th April

Preview - Data Analysis for Commerce Students Course