Data Analytics Course in Delhi
Master data analysis, visualization, and reporting with hands-on training and real-world projects using industry tools. Use AI-powered techniques to gain insights and make smarter, data-driven business decisions with a job-oriented course in Delhi.
About Data Analytics Course
This Data Analytics course is designed to help students and professionals learn to analyze data and extract meaningful insights to support business decisions. The training focuses on practical skills using industry-relevant tools and real-world datasets, not just theoretical concepts.
What Skills You Will Gain From This Course?
Data Analytics Fundamentals
Understand the basics of data analytics, types of data, and how it is used in businesses.
Data Collection & Cleaning
Learn how to gather data from multiple sources and clean it for accurate analysis.
Data Visualization Techniques
Use charts, graphs, and dashboards to present insights clearly and effectively.
Statistical Analysis
Perform descriptive and inferential statistics to identify trends and patterns in data.
Excel for Data Analytics
Learn advanced Excel features for data management, formulas, and analysis.
SQL & Database Handling
Query databases to extract, filter, and manipulate structured data.
Python / R for Analytics
Use programming languages for data analysis, modeling, and visualization.
Business Reporting & Insights
Create reports and dashboards that help stakeholders make informed business decisions.
Course Duration & Mode
Duration
3 months
Mode
Offline & Online
Batch
Weekday & Weekend
Practical Sessions Included
Data Analytics Course Curriculum
- Basics of Data Analytics
- Types of Data
- Data Analytics Process
- Role of Data Analysts
- Industry Applications
- Excel Data Handling
- Advanced Formulas
- Pivot Tables
- Data Cleaning Techniques
- Dashboard Creation
- Charts and Graphs
- Interactive Dashboards
- Data Storytelling
- Visual Reporting Techniques
- Business Data Presentation
- Database Fundamentals
- SQL Queries
- Data Filtering and Sorting
- Joins and Subqueries
- Data Aggregation Functions
- Python Basics
- Data Handling with Pandas
- Data Cleaning Techniques
- Data Visualization with Python
- Analytical Problem Solving
- Descriptive Statistics
- Probability Concepts
- Data Distribution
- Correlation and Regression
- Statistical Analysis Methods
- Power BI Introduction
- Data Import and Transformation
- Data Modeling
- Interactive Dashboards
- Business Intelligence Reports
- Handling Missing Data
- Data Transformation
- Data Formatting
- Removing Duplicates
- Data Preparation Techniques
- Business Data Analysis
- Sales Data Reporting
- Marketing Data Insights
- Financial Data Analysis
- Project Presentation
Hands-on Practical Training
Learners practice real-world analytics projects using business datasets and reporting scenarios.
- Data Cleaning & Preparation
- Exploratory Data Analysis Projects
- Dashboard Creation with Tableau / Power BI
- SQL Data Extraction & Reporting
Why Learn Data Analytics?
Data analytics is one of the fastest-growing fields, with companies relying on data-driven decisions to stay competitive.
Who Should Join This Course?
This course is suitable for individuals aiming to build strong data analytics and reporting skills for professional growth.
What Are The Career Opportunities After Data Analytics Course?
Explore the wide range of job roles you can pursue after gaining in-demand data analytics skills.
Data Analyst
Business Analyst
MIS Executive
Marketing Analyst
Financial Analyst
Product Analyst
Data Visualization Specialist
Why Choose VSIT?
Frequently Asked Questions
Students, graduates, working professionals, and beginners from any background can join.
You will learn Excel, SQL, Python, Power BI/Tableau, data visualization, and real-world analytics projects.
Basic coding like SQL and Python is taught from beginner level, so no prior coding experience is required.
The course duration typically ranges from 3 to 6 months depending on the program structure.
Yes, students receive an industry-recognized certification after successfully completing the course.