Welcome
- Our course design
- Agenda
- Course Material For AFA
- Pretest: Find out how much you don't know !
Hypothesis Testing
- Telecom Churn- Case under Study
- The basics-High School Math you've probably forgotten
- Mean and Medians
- Probability: The reason you probably haven't won the lottery
- Confidence Intervals
- Hypothesis Testing
- ANOVA: Your car brand and your dinner bill
- T Stat- Your first new Statistic
- Example
- 1 sample t test- Checking Means
- 2-sample T test: Does TV make you buy things?
- Annova
- Goodness of Fit
- Chi Square TOI: One Category on another
- Cheat Sheet: So you don't have to remember all of it
- Questions you might have.
- Understood it all?
- Check your Understanding
Linear regression
- Pedagogy
- What is a predictive model?
- Building your first model using R
- Step 2: Use the lm function
- Step 3: Split your data
- Step 4: Model selection
- Step 5: Multicollinearity
- Predictions and quality checks
- FAQ
- Check your Understanding
Logistic Regression
- How to spot dissatisfied customers
- The math behind it
- Building a logistic regression using R
- Step 1: Import your data
- Step 2: Use the "glm" function to build a model
- Step 3: Split your data
- Step 4: Model selection
- Step 5: Make your predictions
- Step 6: Checking your model performance
- Check your Understanding
Cluster analysis
- Segmenting data with K-Means algorithm
- Import your data
- Specify number of clusters
- Interpret your cluster output
- FAQ
- Where do we use factor analysis
- FACTANAL READ ME
- Using R for factor analysis
- Check your Understanding
Factor analysis
- Computing factor loadings
- Scoring survey
- FAQ
- Check your Understanding
Project
- Elections data
Advanced reading
- How cluster analysis is at the heart of Amazon's business model
DATA CHALLENGE - Work That Data
- THE RULES
- Data Set 1: Meteorite Data
- How good are you with choosing the right flower?
- Data Set 2: Groundwater Depletion Rates
- Data Set 3: Exam Data
- Which car would you buy?
DATA CHALLENGE
- RULES of the GAME
- Titanic Data Set
Case Study (With Solution)
- This is for the retailers - You can never go wrong with this
- Don't Let Your Customers say Bye to You
- This could be the reason you never gain weight
- Snails- Yes, Those Slimy Little Creatures
- Are you being Targeted?
- How old was the last abalone you had?
- Why would you migrate to another state?
- Do you eat enough?
- Back to school
- Can you differentiate between a real and a fake note?
- How hard is it to keep warm?
R: Introduction to R
- Lecture 70 : R Getting started
- Know your tool: Installing R and R studio
- Getting to know the Studio
Under the Hood
- Working Directory - Understanding the concept
- Data Types: Your Raw Ingredients
- Basic Operations in R
- Basic Operations in R (Contd)
- Basic Operations in R (Contd)
- Introduction to Data Structures : Vector
- Lecture 75: Data Structures: Dataframe
- Set Operations with Dataframes
