Python DataAnalytics

Fees ₹15,000, GST ₹2700

Upcoming Class

DataAnalytics

Duration

3 months

Start Date

16th Dec 2023

End Date

2nd Mar 2024

Timings

9.00 am to 11.00 am

Days

Sat / Sun

Module 1

Introduction to DataAnalytics with Python

Introduction to Data Analytics: Importance, Uses and Examples
Overview of Python Libraries for Data Analytics
Setting up the Python Environment for Data Analytics
Introduction to NumPy: Arrays, Array Operations, Mathematical Functions, Indexing and Slicing

Module 2

Data Maniputlation with pandas

Introduction to pandas
Data Structures in pandas: Series and DataFrames
Importing and Exporting Data
Data Cleaning Techniques: Handling Missing Data, Dropping Duplicates, Filtering
Data Transformation: Merging, Reshaping, Pivoting
Data Aggregation and Grouping

Module 3

Basic Statistics for Data Analysis

Descriptive Statistics: Mean, Median, Mode, Variance, Standard Deviation
Introduction to Probability and Probability Distributions: Normal, Binomial, etc.
Inferential Statistics: Hypothesis Testing, p-value, t-test, chi-square test
Correlation and Regression Analysis
Using SciPy for Statistical Analysis

Module 4

Data Visualization

Introduction to Data Visualization with matplotlib and seaborn
Basic Plotting with matplotlib: Line Plots, Scatter Plots, Bar Plots, Histograms
Plotting with seaborn: Statistical Data Visualization
Customizing Plots: Colors, Labels, Legends, Titles

Module 5

Database Programming

Introduction to Relational Database
1. Anatomy of Database Systems
2. Client/Server Architectures
3. Distributed Databases
ER Modelling
1. Entity
2. Relationships
3. Types of Entities and their Relations
4. Design Considerations
5. Applications
Relational Modelling
1. Introduction to Relational Algebra
2. Anatomy of Relational Model
3. Design Issues
4. Applications
Structured Query Language
1. Introduction to SQL
2. Data Definition
Data Manipulation
1. SQL constructs
  1. Select
  2. Insert
  3. Update
  4. Delete
2. Expressions
3. Grouping and Aggregate Functions
4. Different types of Joins
5. Sub-Queries and Co-related Queries
6. Set Operations
Interacting with Database.
1. SqlLite
2. Connections
3. Operations
4. Login Framework

Module 6

Web Programming

Introduction to Web
1. HTTP
2. Client-Server Architecture
3. Dynamic Content Generation
Web Page
1. Introduction to HTML
2. Introduction to CSS
3. Introducton to JS
Flask
1. Routes
2. Route Handlers
3. Forms
4. Blueprint
5. PageFlow
6. Session Management
7. Login Module
Restful Interface

Module 7

Exam System Project

Requirement Gathering and System Design
Setting up the Flask enabled Web Application
Building the Database Model and Relationships
Creating the Views and Controllers
Deployment of the System

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