Exploratory Data Analysis
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Follow on Instagram for UpdatesExploratory Data Analysis Syllabus — Unit-wise Content
The official GTU curriculum for Exploratory Data Analysis (subject code 3175202) as prescribed for AI & ML · Semester 7 divides the course into 4 units, covering 58 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3175202)Unit 1 INTRODUCTION TO EXPLORATORY DATA ANALYSIS AND
- DISTRIBUTIONS: Basic Concepts—Population and Sample
- A Case Study: Visually Inspecting Data to Improve Product Quality
- Pareto Diagrams and Dot Diagrams
- Frequency Distributions
- Graphs of Frequency Distributions
- Stem-and-Leaf Displays
- Descriptive Measures
- Quartiles and Percentiles
- calculation of X bar and S, Problems with aggregating data
- Sample Spaces and Events
- The Axioms of Probability
- Some Elementary Theorems
- Conditional Probability
- Bayes’ Theorem
Unit 2 PROBABILITY MASS FUNCTION, CUMULATIVE DISTRIBUTIONS AND
- MODELING DISTRIBUTIONS: Making a Basic Histogram
- Making Multiple Histograms from Grouped Data
- Making a Density Curve
- Making Multiple Density Curves from Grouped Data
- Making a Frequency Polygon
- Making a Basic Box Plot
- Adding Notches to a Box Plot
- Adding Means to a Box Plot
- Making a Violin Plot
- Making a Dot Plot
- Making Multiple Dot Plots for Grouped Data
- Making a Density Plot of Two- Dimensional Data
- Miscellaneous Graphs
Unit 3 RELATIONSHIP BETWEEN VARIABLES AND ESTIMATION
- Scatter Plots
- Characterizing Relationships
- Pearson’s Bachelor/Master of Engineering Syllabus Subject Code : 3175202 Subject Name : Exploratory Data Analysis Correlation
- Nonlinear Relationships
- Spearman’s Rank Correlation
- Correlation and Causation
- The Estimation Game
- Guess the Variance
- Sampling Distributions
- Sampling Bias
- Exponential Distributions
- Classical Hypothesis Testing
- Hypothesis Test
- Testing a Difference in Means
- Other Test Statistics
- Testing a Correlation
- Testing Proportions
- Chi-Squared Tests
Unit 4 TIME SERIES AND SURVIVAL ANALYSIS
- Survival Curves
- Hazard Function
- Estimating Survival Curves
- Kaplan-Meier Estimation
- The Marriage Curve
- Estimating the Survival Function
- Confidence Intervals
- Normal Distributions
- Sampling Distributions
- Representing Normal Distributions
- Central Limit Theorem
- Testing the CLT, Applying the CLT, Correlation Test
- Chi-Squared Test
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