Advance Data Science

Data Science Overview

Introduction to Data Science

Different Sectors using Data Science

Python vs R

What is the role of a Data Analyst

What is the role of a Data

Scientist

Opportunities in Data Science

Data Analysis Overview

Data Analysis Process

Knowledge Check

Exploratory Data Analysis

EDA - Quantitative Technique

Types of Variables

Types of Problems

Data Visualization Overview

Why Visualize everything ?

Importance of Visualization

Types of Visualization Strategies

Color Palettes

Types of Charts

When to Use Different Charts

Sub Plots

Plotting with Pandas

Matplotlib

Seaborn

Plotly - Advanced Data Visualization

Scientific Data Visualization

Driving Insights from Visualizations

Python Programming Language

History and Overview

Applications and Use Cases

Syntax, Comments, Variables

Data Types, Numbers, Casting

Strings, Booleans, Operators

Lists, Tuples

Sets, Dictionaries

Loops and Conditionals

Lambdas and Arrays

Classes and Objects

Inheritance

Iterators

Scope and Modules

Dates and Json

Regular Expressions

File Handling

Python for MongoDB

Python for MySQL

Quizzes

Numpy

Creating Numpy Arrays

Mathematical Functions

Subset, Slice, and Index

Manipulating Numpy Arrays

Join, Split, Resize etc.

Transpose, Reshape

Visualizing Numpy Arrays

Data Analysis with Numpy

Numpy Functions

Pandas

Introduction to DataFrame

DataFrame Operations

Pandas Functions

Plotting with Pandas

Advanced Pandas Trick

Exploratory Data Analysis

Data Ingestion and Inspection

Statistical Analysis

Introduction to Statistics

Mean, Mode, Standard Deviation

Scales and Measures

Basic Terms and Terminologies

Use Cases and Problems

Summarizing Distribution

Graphing Distribution

Univariate Data

Bivariate Data

Multivariate Data

Normal Distributions

Probability

Sampling Distributions

Advanced Graphs

Estimation

Hypothesis Testing

A/B Testing

Analysis of Variance

Standardization

Normalization

Box Cox Transformation

Cosine Similarity

Advanced Statistics

Bernoulli and Binomial Distribution

Chebyshev’s Inequality

Correlation vs Causation

Interquartile Range

Kernel Density Estimation

QQ Plot

Skewness

Resampling and Permutation test

Supervised Machine Learning

Introduction

Types of Supervised Techniques

Regression Analysis

Types of Regression Algorithms

Linear Regression

Logistic Regression

Lasso Regression

Ridge Regression

Elastic Net Regression

Metrics for Regression Analysis

Classification Analysis

Decision Trees

Random Forest

Support Vector Machines

K Nearest Neighbors

Naive Bayes Theorem

AdaBoost Classifier

Metrics for Classification