Dashboard project
Organise a dataset, select useful metrics and communicate your findings in an interactive dashboard.
Excel · Power BIDATA & AI · CAREER PROGRAM
Data Analytics with Gen AI Course in Calicut
Find the story in your data. Build the skills to turn raw numbers into insights people can use.
- Total duration
- 7 months
- Days a week
- 5
- Hours per day
- 2–3
Hands-on training
Expert trainers
Practical projects
Interview preparation
Placement assistance
Two certificates
On this page
THE OVERVIEW
Turn information into understanding.
Learn how to collect, clean and explore data, then turn your findings into visual reports. The course moves from Excel and SQL to Python, statistics and Power BI, with practical analysis at every stage.
You’ll also explore generative AI in analytics workflows, including prompts, data preparation and reporting. Case studies and projects bring these skills together so you can explain both what the data shows and why it matters.
Who can join?
Find a starting point that fits your background and goals.
- Students & graduates
- Career switchers
- Working professionals
- New data learners
WHAT YOU’LL LEARN
Skills you can put to work.
- Data cleaning
- SQL querying
- Exploratory analysis
- Statistical thinking
- Data visualisation
- Power BI dashboards
- Business reporting
- Generative AI
YOUR LEARNING PATH
From foundations
to practice.
11 modules, with a clear path through the concepts, tools and practical work.
01Introduction to Data Analytics
- What is Data
- Types of Data
- Data Analytics Overview
- Data Analytics Lifecycle
- Roles & Responsibilities of a Data Analyst
- Applications of Data Analytics
- Tools Used in Data Analytics
02Excel for Data Analytics
- Excel Interface & Basics
- Data Cleaning Techniques
- Sorting & Filtering
- Conditional Formatting
- Excel Formulas & Functions
- Pivot Tables & Pivot Charts
- Data Validation
- Dashboard Creation in Excel
03SQL for Data Analytics
- Introduction to Databases
- RDBMS Concepts
- SQL Architecture
- Data Types
- Constraints
- DDL, DML, DQL, DCL, TCL
- Joins
- Subqueries
- Views
- Indexes
- Stored Procedures
- SQL for Data Analysis Use Cases
04Python for Data Analytics
- Introduction to Python
- Python Environment Setup
- Variables & Data Types
- Operators
- Control Structures
- Functions
- Modules & Packages
- File Handling
- Exception Handling
05Python Libraries for Data Analysis
- NumPy
- Pandas
- Data Cleaning & Manipulation
- Exploratory Data Analysis (EDA)
- Matplotlib
- Seaborn
06Statistics for Data Analytics
- Importance of Statistics
- Descriptive Statistics
- Inferential Statistics
- Measures of Central Tendency
- Measures of Dispersion
- Probability Concepts
- Probability Distributions
- Sampling Techniques
- Hypothesis Testing
- Correlation & Regression
07Power BI
- Introduction to Power BI
- Power BI Architecture
- Data Importing
- Data Modeling
- Power Query
- DAX Functions
- Visualizations
- Dashboards & Reports
- Publishing & Sharing Reports
08Business Analytics Concepts
- Business Analytics Overview
- Types of Analytics
- KPIs & Metrics
- Business Decision Making
- Case Studies
09Generative AI for Data Analytics
- Introduction to Generative AI
- AI vs ML vs Gen AI
- Large Language Models (LLMs)
- Prompt Engineering
- Gen AI for Data Cleaning
- Gen AI for Data Analysis
- AI-Powered Insights & Reporting
- Ethical AI & Limitations
10Projects & Case Studies
- Real-Time Analytics Projects
- Business Case Studies
- Dashboard Projects
- End-to-End Analytics Project
- Gen AI Integrated Project
11Interview & Placement Preparation
- Resume Building
- Portfolio Development
- Interview Preparation
- Mock Interviews
- Career Guidance
Get familiar with the tools.
A practical toolkit for your learning journey.
- Excel
- SQL / MySQL
- Python
- Pandas
- NumPy
- Power BI
- Tableau
- Matplotlib
LEARN BY DOING
Put your learning into practice.
Explore practical work connected to the topics in your syllabus.
End-to-end analysis
Follow an analysis from data preparation and SQL queries to Python exploration and a clear report.
SQL · Python · PandasGen AI integrated project
Explore how prompts can support data analysis and reporting, and evaluate the insights they produce.
Generative AI · PythonOne learning journey. Two certificates.
Complete your training and practical work to receive a NACTET certificate alongside your Gen Corpus Data Hub certificate.
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NACTET certificate -
Gen Corpus certificate
BEYOND THE CLASSROOM
Prepare for your next chapter.
Practical support to help you present your skills and approach opportunities with confidence.
Resume & portfolio
Present your skills, learning and practical work clearly.
Interview practice
Prepare through mock interviews and technical discussions.
Career guidance
Talk through your goals and the opportunities you want to explore.
Placement assistance
Get support as you prepare for your next professional step.
LEARNER STORIES
Learning, in
their words.
Building a dashboard helped me connect the lessons. I could explain the patterns I found, and why they mattered.
Aarya N.Data Analytics with Gen AI
BEFORE YOU BEGIN
Your questions,
answered.
How long is the course?
Data Analytics with Gen AI runs for 7 months, with classes 5 days a week for 2–3 hours a day.
Do I need to know Python already?
The syllabus starts with Python fundamentals, alongside Excel and SQL. Speak with our career team about your current experience and the right starting point.
How is this different from Data Science?
Data Analytics focuses on exploring data, dashboards and business reporting. Data Science goes further into machine learning, deep learning, natural language processing and computer vision.
What are the batch timings?
Classes run 5 days a week for 2–3 hours a day. Contact our career team for the next available batch and its exact class timings.
Which certificates will I receive?
After successful completion of the training and practical work, you receive a NACTET certificate alongside your Gen Corpus Data Hub certificate.
What placement support is included?
Support includes resume and portfolio preparation, interview practice, mock interviews and career guidance. Speak with our team about the placement assistance available for your course.
YOUR NEXT CHAPTER
Ready to start
something new?
Talk to a career expert about Data Analytics with Gen AI, your goals and your next step.