Data Analytics
Focus on expertise & impact -
Next Cohort
Course Duration
120 Hrs
Course Overview
The Data Analytics program is a comprehensive industry-aligned course designed to equip learners with the skills needed to extract actionable insights from data. In today’s data-driven world, businesses across sectors—from finance to healthcare, e-commerce to manufacturing—rely on skilled data analysts to guide decision-making and enhance performance. This program offers a robust combination of statistical thinking, data handling, visualization, and hands-on tool usage that prepares learners for real-world analytics roles.
Key Features
- Learn using real-world datasets and projects
- Designed by industry professionals
- Covers top tools used in the industry (Excel, SQL, Power BI, Python)
- Learn both descriptive and diagnostic analytics
Skills Covered
- Advanced Excel (Pivot Tables, Charts, VLOOKUP, What-if Analysis)
- Python for Data Science
- Building Generative Models (GANs, VAEs)
- Creating AI applications in NLP, vision, audio
- Model evaluation and fine-tuning
- Responsible and ethical AI development
Course Curriculum
Data Analytics
Module 1 - Python for Data Science
- Python Learn the fundamentals of Python including data types, loops, functions, and OOP concepts. Build a strong programming base for data analysis and automation tasks.
- NumPy Master numerical operations using NumPy arrays, broadcasting, and vectorization. Essential for high-speed mathematical computing in data science.
- Pandas Analyze and manipulate structured data with DataFrames and Series. Perform filtering, grouping, merging, and reshaping of large datasets.
- EDA Uncover patterns and trends using descriptive statistics and summary visuals. Learn to derive insights and prepare data for modeling.
- Data Cleaning & Preprocessing Handle missing values, duplicates, and inconsistent data. Apply transformations like scaling, encoding, and normalization for clean datasets.
- Data Visualization (Matplotlib & Seaborn) Create impactful visualizations like bar charts, histograms, and heatmaps. Tell compelling data stories using customizable plotting tools.
- Web scraping Extract data from websites using BeautifulSoup, Requests, and Selenium. Learn DOM parsing, handling dynamic content, and data exporting.
Module 2 - Database Basics
- SQL (Joins, Triggers, ER models) Learn to write efficient queries, use joins to combine data across tables, and create ER models to design relational schemas. Automate tasks using triggers for event-based database operations.
- NoSQL (MongoDB) Explore MongoDB’s flexible, document-oriented data model. Perform CRUD operations and manage unstructured data using collections and dynamic schemas.
- Normalization Understand how to organize data in relational databases by eliminating redundancy. Learn 1NF, 2NF, 3NF, and beyond to optimize database structure.
Module 3 - Data Analytics with Excel & Power BI
- Excel (formulas, charts, pivots) Master Excel for data organization, calculations, and reporting. Learn formulas, data visualization with charts, and dynamic analysis using pivot tables.
- Power BI (DAX, dashboards, transformations) Create interactive dashboards and reports in Power BI. Use DAX for custom calculations and Power Query for data cleaning and transformation.
Module 4 - BI Tools Overview
- Tableau (core to advanced) Learn to build interactive dashboards, charts, and data stories using Tableau. Advance to calculated fields, parameters, level of detail (LOD) expressions, and performance optimization.
- Cognos or QlikView overview Get an overview of enterprise BI tools like Cognos or QlikView. Understand their interface, reporting features, and how they compare with modern self-service BI platforms.
- Python
- NumPy
- Pandas
- EDA
- Cleaning
- Visualization with Matplotlib/Seaborn
- Web scraping
- SQL (Joins, Triggers, ER models)
- NoSQL (MongoDB)
- Normalization
- Excel (formulas, charts, pivots)
- Power BI (DAX, dashboards, transformations)
- Tableau (core to advanced)
- Cognos or QlikView overview
Salary Scale
Maximum
35 LPA
Average
15 LPA
Minimum
10 LPA
Job Role
- Data Analyst
- Business Analyst
- BI Developer
- Excel Automation Expert
- Tableau/Power BI Developer
- Market Research Analyst
Course Certificate
Eligible Criteria
- B.E/B.Tech in ECE, EEE, Instrumentation (Final Year or Recent Graduates)
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Possess good English communication skills
Tools & Technologies
Training Options
Online
Training
₹
16,000
Including GST*
-
24/7 LMS Access
-
Live Online Session
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On-Campus Immersion
Classroom
Training
₹
32,000
Including GST*
-
24/7 LMS Access​
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Peer Learning & Support
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Career Guidance & Mentorship
Why Join this Program
Career-Ready Skills
Designed for job success in data roles
Tool Mastery
Get industry-level proficiency in BI tools
High Demand Market
Analytics jobs are among the fastest-growing globally
Hands-On Learning
Real-time data projects, dashboards, and reports
FAQ
No. We start with Excel and SQL. Python is taught step-by-step.
Yes, participants will receive a certification upon successfully completing the course.
Yes, in both Power BI and Tableau.
You can apply for roles in IT, BFSI, marketing, sales analytics, healthcare, and more.
Learners have access to a support system that includes mentorship, discussion forums, and technical assistance to help with any queries or challenges faced during the course.