Introduction
- Introduction to Data Visualization
What is Data Science
- Understanding Data Science
- Python Environment Framework
- Various Python Scripts
Advanced Python
- Concept of Advanced Python
- Creating Functions for Python
- Creating a New Library
- Creating Bar Charts
- Analysis on Line Chart
- Understanding Scattered Plots
Linear Algebra
- Vector Spaces in Linear Algebra
- Matrices in Linear Algebra
- Analysing Statistical Data
- Understanding Central Tendencies
- Dispersion for Data
Probability
- Probability in Discreet Mathematics
- Normal Distribution Curve
- Example for Normal Distribution Curve
- Central Limit Theorem
- Concept of Hypothesis
- Example on Hypothesis Testing
- Defining the Next Value
- Principle of P Hacking
- Understanding Bayesian Inference
- Line of Best Fit
- Datascience with Gradient Descent
- Example on Gradient Descent
Gradient Descent
- Value Import
- Output Functions for Gradient
- Working with Data Analysis
- Creating Normal Histogram
- Two Dimensional Graph
- Multiple Scatter Plots
- Analyzing Data Sets
- Learnig Box Plots
Conclusion
- Overview and Conclusion
