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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
Recordings: June'24
Session on 15th June
Session on 16th June
Session on 17th June
Session on 18th June
Session on 19th June
Session on 21st June
Session on 22nd June
Session on 23rd June
Session on 24th June
Session on 26th June
Session on 27th June
Session on 28th June
Session on 29th June
Recordings: August'24
Session on 19th August
Session on 20th August
Session on 21st August
Session on 22nd August
Session on 23rd August
Session on 24th August
Session on 25th August
Session on 26th August
Session on 27th August
Session on 28th August
Session on 29th August
Session on 30th August
Session on 31st August
Session on 1st September
Recordings: October 2024
Session 1: 8th October
Session 2: 9th October
Session 3: 10th October
Session 4: 12th October
Session 5: 13thOctober
Session 6: 15th October
Session 7: 16th October
Session 8: 17th October
Session 9: 18th October
Session 10: 19th October
Session 11: 21 October
Session 12: 22 October
Session 13: 23 October
Session 14: 24 October
Preview - Data Analysis for Commerce Students Course
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