Software Courses

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

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

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

This course covers the following main topics

1. CMS - Wordpress

2. MVC Framework - Laravel

"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

This course covers:

Introduction to web programming

• Web server
• Web client
• HTML
• CSS
• Java script

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

This course covers the Python basic topics. This is a foundation course on Python.

• Python program structure basics
• Conditional and Loop constructs
• Sequences

"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.

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

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

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

This course covers the Python basic topics. This is a foundation course on Python.

• Python program structure basics
• Conditional and Loop constructs
• Sequences