
Certification Course on Data Analytics (Eng)
Data Analytics(M1)
In this course you will learn:
Importance of data in data analysis and machine learning and different visualization methods.
How to visualize real world data and analyze the data using Excel and Tableau.
Explain data, its types and relevance in data analysis and Machine Learning.
Visualize real word data and analyze the data.
Explain what is a dashboard and different dashboard types.
Create a dashboard using excel.
Summarize data and create various summarized graphs using pivot tables and pivot charts.
Work with tableau and find insights from a dataset.
Prepare Data visualization using dashboards in Tableau.
Main Topics
Data
Data Collection
Data Cleaning using Excel
Data Visualization
Dash board using Excel and Tableau

1 Month Internship - Data Analytics
The 1-month internship in Data Analytics gives a practical experience for the candaidates in Data Analytics field. Outcomes 1.Understanding data deeply. 2.Excel,Tableau software skills for analysing. 3.Exposure to real world tasks. 4.Visualization skills 5.Analysing and Report making skills. 6.Effectively communicating information from data

Python For Data Analytics
"Python for Data Analytics" course covers the Python basic topics and important python packages for data analysis and visualization. The topics are listed below:
- Python program structure basics
- Conditional and Loop constructs
- Sequences
- Functions
- OOPS concepts
- Regular Expressions
- Database handling
- Python packages for data analysis and visualization - numpy, pandas, matplotlib, seaborn
Course Outcome (CO)
While successfully completing this course, the learner will be able to:
➔ Do programming using Python.
➔ Do data analysis using Python packages.

Core Python
This course covers the Python basic topics. This is a foundation course on Python.
- Python program structure basics
- Conditional and Loop constructs
- Sequences

Python GUI Programming
This course is for Python Developers. It enables the candidates to create GUI based Python Applications using Tkinter and MySql.
The main topics covered are listed below:
- Functions
- File handling
- OOPS concepts
- Regular Expressions
- Database handling
- GUI programming with Tkinter
- Functional Programming

Python Web Development Using Django Framework
This course covers:
Introduction to web programming
- Web server
- Web client
- HTML
- CSS
- Java script
Python Web framework – Django
- Installation
- Configuration
- Urls and Views
- App creation
- Model
- Template integration
- Form Processing
- Database connection
- Sessions
- Image/files uploading

Web Development using PHP
"Web Development using PHP" is a course designed for those who wishes to be PHP programmers. It covers all the topics to build a simple website using PHP.
The main topics are:
- PHP Language Basics
- Conditional & Looping Constructs
- Functions
- Strings
- Arrays
- OOPS
- File Handling
- Form Handling & Sessions
- Database programming using MySql
- One-tier, two-tier and three-tier architectures

PHP Laravel MVC Framework
This course covers the Web Development using Laravel Framework. Laravel is PHP's one of the most popular MVC framework

MVC Web Development Using Laravel
This course covers the following main topics
1. CMS - Wordpress
2. MVC Framework - Laravel

Crack With Confidence
This course prepares you for the technical tests conducted by IT companies.
The skills you achieve after completing this course are given below:
1. Python Programming 2. C/C++ fundamentals
3. Java Fundamentals 4. Code Optimization
5. UNIX basic commands 6. OOPS Concepts
7. DBMS 8. Hackathon Practice
9. Technical Aptitude 10. Mathematical Aptitude

Add-on Certification Course on Data Analytics & Machine Learning
"Add-onCourse on Data Analytics & Machine Learning", is an introductory course designed for candidates who wish to enter the Data Analysis & Machine Learning field.
The Introduction section will give you an overall idea about Data Analysis and Machine Learning in the current world.
This course has two specialized areas:
1. Data Analysis
2. Machine Learning
Tasks are included for you to check your understanding of the topic. FRQ's will help you to clear the doubts. MCQ are included to know the level of theoretical understanding.