Data Analytics

Data Analytics is the science of examining raw data to uncover meaningful patterns and insights. It enables organizations to make informed, strategic decisions based on evidence rather than intuition.
The process involves data collection, cleaning, analysis, and interpretation. Statistical techniques and machine learning models are often applied to find trends and correlations.
Tools like SQL, Python, Excel, and BI platforms are widely used in analytics workflows. Data visualizations and dashboards help present complex findings in a clear and accessible format.
Analytics supports various functions such as marketing, finance, operations, and customer service.
Ultimately, Data Analytics drives innovation, efficiency, and competitive advantage.

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Upskilling

Program

6 Months

Duration

Online & Offline

Mode

Hindi & English

Language

100% Job Assistance

Program

Courses Details

The Data Analytics course is designed to equip learners with core skills in data collection, cleaning, and analysis using tools such as Excel, SQL, and Python.
It provides hands-on experience in building dashboards and visualizations using BI tools like Power BI or Tableau.
The course emphasizes understanding data patterns, statistical analysis, and deriving meaningful insights to support business decision-making.
Learners will gain practical knowledge to interpret complex datasets and present findings in a clear, actionable format.
Overall, the course prepares individuals to apply data analytics techniques in real-world business scenarios.

Pyhton:

Python Introduction
Functions
Mathematical operation
Data Manipulation
Visualisation
Project

My SQL:

Introduction to My SQL
Functions in SQL
Joins
Subqueries
Window Functions
Data Modelling & Normalization
Project

Power BI:

Introduction to Power BI
Visualizations
Data modeling
DAX
Connectivity
Creating reports
Publishing, sharing & scheduling a refresh
Projects

Excel:

Excel Introduction
Worksheets and Workbook
Functions
Data Cleaning & Validation
Visualization
Macros and VBA
Security Features
Project

MongoDB:

Introduction To MongoDB
Crud Operations
Operators In MongoDB
Methods In MongoDB
Indexing And Relationships
Python Connectivity With MongoDB

Statistics & Analytics:

Numpy Package
Pandas
Matplotlib
Seaborn
Plotly
Bokeh

Tableau:

Tableau Introduction
Comparing Tableau with Power BI
Tableau Charts
Tableau Dashboards
Tableau Story
Calculated Fields
Publishing Report to Server

Courses Offerings

Industry-Oriented

Comprehensive Learning Content

Practice Sessions

Live Doubt Resolution Sessions

Certification of Completion

Capstone Projects

Assignments and Projects

24/7 Email Support

Frequently Asked Questions (FAQs)

Q: What is the duration of the Data Analytics course?

A: The duration of the course is six months, beginning from the day you enroll.

Q: Is the course available online and offline?

A: This course will be conducted online & offline mode.

Q: Will I receive a certificate upon completion of the course?

A: Yes, a certificate will be awarded to you once you successfully finish the course.

Q: What are the prerequisites for enrolling in the Data Analytics course?

A: The course doesn’t require any advanced prior knowledge, Only a basic understanding of mathematics at the 12th grade level is expected.

Q: Is this course suitable for students or professionals?

A: This course is ideal for both students and working professionals. Even if you belong to a different background, you will still gain value from it, as the program begins with fundamental concepts and gradually progresses to advanced, application-oriented knowledge.