Data Science Specialization

Introduction to Programming & Programming Language
Introduction to Programming, Introduction to Programming Language, How to Install?, Execution steps, Interactive Shell, User Interface or IDE, Creating Your First Program

Memory Management & Datatypes
Memory Management and Garbage Collection, Object Creation and Deletion, Object Properties, Data Types and Operations, Numbers, String Operations

Data Types
List Tuple, Dictionary, Other Core Types

Statements
Statements and Syntax, Assignments, Expressions and prints, If tests and Syntax Rules, While and For Loops

Operations
File Operations, Opening a file, Using Files, Other File tools, Check If File or Directory Exists, COPY and PASTE File using shutil.copy(), Rename File and Directory using os.rename(), ZIP file with example

Functions
Function Definition and Call, Function Scope, Function Arguments

Modules and Packages
Module Creations and Usage, Types of package, Package creation, Importing packages

Exception Handling
Default Exception Handler, Except Exceptions, Raise an exception, User defined exception

Accessing Internet
Accessing internet data & manipulating XML, using Programming Language.

Object Oriented Programming
Classes and Instances, Classes method calls, Class methods, Instance methods, Static methods

Object Oriented Programming
Abstraction, Encapsulation, Polymorphism, Types of Polymorphism, Inheritance, Types of inheritance

Python Libraries
Working on Various Python Libraries, NumPy, Pandas, Matplotlib, Scikit-learn

NumPy
Working on NumPy, Introduction to Numpy Array, Creating arrays of different Dimensions, Indexing, Data processing using Array

Pandas
Data Analysis using Pandas, Introduction to Pandas, Data Type of Pandas, Creating Dataframe using Pandas, Importing Dataset using Pandas, Various operations on data using Pandas tools

Matplotlib
Data visualization using Matplotlib, Plotting data using Matplotlib library, Using various tools of Matplotlib, Types of Graph, Implementation of different types of Graphs

Scikit-Learn
Applying Algorithms on Dataset using Scikit-learn, Data splitting, Using different algorithms for dataset, Prediction, Score check

Machine Learning Algorithms
Regression analysis
Simple linear regression
Multi linear regression
Classification
Binary class classification
Multi class classification
Support Vector Machine
KNN algorithm

Datasets with Projects
IRIS Dataset
BMI Male Female Dataset
MNIST Dataset
DIGIT Dataset
Titanic Dataset
CIFAR Dataset

Projects
1. Area Price Prediction Project
2. Gender Classification Project
3. Iris Flower Species Classification
4. Digit Recognition Project
5. Survival Prediction on Titanic Project
6. Object Recognition Project
7. Insurance Purchase Prediction Project

Data Visualization Techniques using Tableau
Working on Tableau
Tableau Projects
Classification
Binary class classification
Multi class classification
Support Vector Machine
KNN algorithm

Concepts of Statistics