Course Content
Introduction
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Getting Started With Data Science
00:00
Basic Maths Required for Data Science
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Let’s Start with Statistics
00:00
Data Quality Issues
00:00
Types of Statistics
00:00
Measures of Spread
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Measures of Shapes
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Plots Visualisation
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Inferential Statistics
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Probability
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Conditional Probability
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Random Variables
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Normal Probability Distribution
00:00
Central Limit Theorem
00:00
Hypothesis Testing for Decision Making
00:00
python for Data Science
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Python for Data Science
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Python Installation – Google Collab
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Python Basics
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Identifiers in Python
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Comments in Python
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Python Indentation
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Python Statements
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Variables in Python
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Data Types & Related Stuffs in Python
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Conversion of Data Types in Python
00:00
Python I/O functions
00:00
Output Formatting
00:00
User Input in Python
00:00
Operators in Python
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Control Flow in Python
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Functions in Python
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Types of Functions in Python
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Recursive Functions in Python
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Argument in a Function
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Lambda or Anonymous Functions in Python
00:00
Advance Python
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Advance Programming in Python
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Advance Programming in Python: Part 2
00:00
Data Visualisations
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Bivariate Plotting
Multivariate Plotting
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Let’s Dig Deeper
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EDA
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EDA on Mc’donalds Data Set
00:00
Exploratory Data Analysis
00:00
Let’s explore Machine Learning
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Introduction: Machine Learning
00:00
Unsupervised Learning
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Reinforement Learning
00:00
Module Seven
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Linear Regression
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How to use Linear Regression
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Logistic Regression
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Logistic Regression on Titanic Data Set
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Decision Tree
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Algorithms used in Decision Treee
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Gini Index
00:00
Issues with Decision Tree
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Applications of Decision Tree
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Working on Titanic Data Set
00:00
Random Forest
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Types of Random Forest
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Why Random Forest
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Application of Random Forest
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Random Forest Implementation on Titanic Data Set
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Model Evaluation Technique
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Concept of R-Squared
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Linear Regression
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Classification
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Confusion Matrix
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Recall / Sensitivity / True Rate of Positive
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FB score
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AUC/ ROC curve
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Model Evaluation recall Curve
00:00
Module Eight
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Data Analysis using R
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Data Analysis using R: part 2
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All about R Language
00:00
Featured Topics
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Big Data
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Intro to Hadoop
00:00
Intro to Tableu
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Intro to Business Analytics
00:00
Project: Telecom Churn Production
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Project: Part 1: Let’s get our system ready
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Project: part 2
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Project: Part 3
00:00
Project: part 4
00:00
Project: Let’s Finalise it
00:00
Course Resources
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Additional Resources : Downloadable
Data Science with Python Complete Course
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