Course Content

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    • Course Introduction
    • 1. Introduction to the Course

    Data Science Intro
    • 3. DataScience
    • 4. Understanding Buzzwords

    Excel - Data Analysis and Visualization
    • 9. DA-Excel
    • 10. DA Excel 2
    • 11. DA Excel 3

    Introduction to Python
    • 14. Introduction to Python
    • 15. Control Structures and Functions - Part 1
    • 15. Control Structures and Functions - Part 2
    • 16. Data Structures - Tuples
    • 16. Data Structures - Lists
    • 16. Data Structures - Sets
    • 16. Data Structures - Dictionary
    • 16. Class and Objects

    Probability
    • 17. Basics of probability
    • 18. Conditional and Bayes
    • 19. Random Variable and Discrete Probab
    • 19. Continuous Random Variables
    • 19. Central Limit Theorem

    Statistics
    • 20. Statistics in Data Science
    • 21. Measures of Central Tendency
    • 22. Measures of Dispersion
    • 23. Hypothesis Testing
    • 23. Types of errors
    • 23. Regression Analysis
    • 23. Underfitting and Overfitting
    • 23. Types of Regression Analysis
    • 23. Correlation and Regression

    Advanced Python Tools
    • 24. NumPy Part 1
    • 25. NumPy Part 2
    • 26. NumPy Part 3
    • 27. NumPy Part 4
    • 27. Pandas Part 1
    • 27. Pandas Part 2
    • 27. Matplotlib Part 1
    • 27. Matplotlib Part 2
    • 27. Matplotlib Part 3
    • 27. Matplotlib Part 4

    Exploratory Data Analysis
    • 28. EDA

    Maths for DS
    • 42. Matrix Vectors
    • 43. Numpy, LinearAlgebra Matrix for analysis
    • 44. What is a Tensor

    Deep Learning
    • 46. Introduction to Deep Learning
    • 47. Getting started with ML
    • 48. How does ML work
    • 48. Data Cleaning
    • 48. Data Processing
    • 48. Preprocessing in Python - Feature Scaling
    • 48. Preprocessing in Python - Label Encoding
    • 48. ML Classifications
    • 48. ML - Regression
    • 48. ML Algorithms
    • 48. Classification Model

    Neural Network
    • 49. Introduction to Neural networks
    • 50. How do neural networks work_
    • 51. Neural Network from Scratch

    Project - Covid 19 Analysis
    • 49. Case Study - Part 1
    • 50. Case Study - Part 2
    • 51. Case Study - Part 3

    Project - Rainfall Prediction
    • 49. Rainfall Prediction Part 1
    • 50. Rainfall Prediction Part 2

    Project - Tumor Detection
    • 49. Case Study - Tumor Detection Part 1
    • 50. Case Study - Tumor Detection Part 2