Data Analytics Course in Dwarka, Delhi | Online & Offline
We offer Data Analytics training in Dwarka, Delhi, with online and offline class options for students across India. Learn Data Analytics with practical training in Excel, SQL, Power BI, and Python. This course is designed to help you work with real data and build industry-ready skills.
About the Data Analytics Course
This Data Analytics course focuses on practical learning, not just theory. You will learn how to collect, clean, analyze, and present data using tools that are actually used in companies. The course begins with the basics and gradually progresses to advanced concepts, making it suitable for those new to analytics or from a non-IT background.
Who Should Join This Data Analytics Course?
What You’ll Learn in This Data Analytics Course
In this course, you will learn how to analyze data, find meaningful insights, and present them in a clear and professional way. The focus is on hands-on practice, not just theory.
Advanced Excel
Data cleaning, formulas, pivot tables, and reporting.
SQL for Data Queries
Writing queries to fetch, filter, and analyze data.
Power BI Dashboard
Creating interactive dashboards and visual reports.
Python for Analytics
Python for data analysis, automation, and logic building.
NumPy
Working with numerical data, arrays, and calculations for data analysis.
Pandas
Data cleaning, data manipulation, and analysis using real-world datasets.
AI for Data Analytics
How AI is used to find patterns, insights, and predictions from data
Projects & Case Studies
Hands-on work with real datasets.
Data Analytics Course Curriculum
A complete, step-by-step curriculum covering analytics tools used in real companies.
- Excel interface, shortcuts & data handling basics
- Formulas & functions for analysis
- Data cleaning & formatting techniques
- Pivot tables & pivot charts
- MIS & analytical reports
- Excel dashboards
- Introduction to automation concepts
Outcome: You’ll be confident handling day-to-day business data and reports.
- Database concepts & SQL basics
- SELECT, WHERE, ORDER BY
- Aggregate functions (COUNT, SUM, AVG)
- GROUP BY & HAVING
- Joins (INNER, LEFT, RIGHT)
- Subqueries & Views
- SQL use cases for analytics
- Real-world query practice
Outcome: You’ll be able to extract and analyze data directly from databases.
- Power BI interface & workflow
- Data import & transformation
- Data modeling basics
- DAX fundamentals
- Charts, visuals & slicers
- Interactive dashboards
- Publishing & sharing reports
Outcome: You’ll create professional dashboards used by companies.
- Python for beginners uses in data analytics
- Writing your first Python program
- Variables, data types, and basic input/output
- Conditional statements (if–else)
- Loops (for, while) with practical examples
- Functions and reusable code
- Working with files (CSV, Excel – basics)
- Understanding errors and debugging basics
Outcome: By the end, you’ll be comfortable reading and writing Python code and ready to move into NumPy, Pandas, and data analysis projects.
- What NumPy is and why it is used in data analytics
- Understanding NumPy arrays (1D, 2D)
- Difference between Python lists and NumPy arrays
- Creating and modifying arrays
- Basic mathematical operations on data
- Indexing, slicing, and reshaping arrays
- Working with numerical datasets efficiently
Outcome: You’ll be able to handle numerical data efficiently and build a strong foundation for Pandas, data analysis, and Python-based projects.
- What Pandas is and why it is important in data analytics
- Understanding Series and DataFrames
- Importing data from CSV and Excel files
- Exploring and understanding datasets
- Data cleaning (handling missing values, duplicates)
- Filtering, sorting, and selecting data
- Grouping and summarizing data
- Basic data analysis using real datasets
Outcome: By the end of this module, you’ll be confident in cleaning, analyzing, and preparing data, which is a core skill required in data analytics roles.
- Introduction to AI & analytics
- How AI is used in data analytics
- Understanding patterns & predictions
- Real-life AI use cases
- How analytics + AI work together
- Future scope of AI in analytics
Outcome: You’ll understand how AI fits into analytics roles.
- Excel-based MIS and reporting projects
- SQL data analysis using real databases
- Power BI interactive dashboard projects
- Python data analysis projects using Pandas & NumPy
- Case-based projects inspired by real business problems
Outcome: You’ll build real projects that you can confidently showcase in interviews and on your resume.
- Resume building focused on data analytics roles
- LinkedIn profile optimization for better visibility
- Interview preparation (technical + HR basics)
- Mock interview guidance
- Career roadmap and role clarity (Data Analyst, BI Analyst, etc.)
Outcome: Our aim is not just to teach tools, but to help you move forward confidently in your career.
“What Our Students Say”
Real feedback from students who learned Excel, Data Analytics & BI with us.
Shweta ma'am sounds like an exceptional instructor, and her teaching style, which simplified complex concepts, made the learning process enjoyable and effective. Having a knowledgeable and patient instructor can make a significant difference in mastering a subject like UI/UX design.
It's also great to know that the course curriculum was well-structured and comprehensive, covering all the essential aspects of UI/UX design. From user research to wireframing, prototyping, and user testing, the program seems to have provided you with a holistic understanding of the field.
The hands-on projects and real-world simulations must have been valuable experiences. Practical application of theoretical knowledge is crucial in developing practical skills, and it's excellent that the institute provided opportunities for you to do so.
Completing a course like this is a significant achievement, and it's clear that you have gained valuable skills and knowledge to excel in the UI/UX design field. Now, you can take this newfound expertise and apply it to real-world projects or further advance your career in the design industry.
Once again, congratulations on your accomplishment, and I wish you all the best in your future endeavors as a UI/UX designer! Keep honing your skills and creating exceptional user experiences.
Ready to Start Your Data Analytics Journey?
Join our Data Analytics class for job-ready, with real projects and expert guidance.