Data Analytics + Gen AI · Live online & Noida

Become a job-ready Data Analyst in 5 months

Learn Python, SQL, Power BI, Tableau, Advanced Excel and Generative AI in live classes with working professionals. Build 3 live projects and get structured placement support.

  • No coding background needed. We start from the basics.
  • Live classes 5 days a week. Every session is recorded, so you can watch it again any time.
  • Resume, LinkedIn and Naukri profile help, mock interviews and job referrals.
5months, live
8phases
3live projects
25+tools you'll use

Get a free career call

A Qualibytes career counselor will call you, explain the course and help you pick a batch.

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Free, no obligationWe never share your number
What you'll learn

The tools data teams actually use

Every tool in the course has a free version for learning, so you don't need to buy any software.

PythonJupyterGoogle ColabNumPyPandas MatplotlibSeabornPlotlyStreamlitSQL MySQLSQLiteStatistics & EDAPower BIPower Query DAXAdvanced ExcelVBA & MacrosTableauGenerative AI LLMsPrompt EngineeringNLPSeleniumGitHub
Syllabus · 8 phases

From basics to job-ready, one phase at a time

Each phase builds on the last. By the capstone, you use every skill together in one project.

1

Data Analytics Foundations & BICore concepts, BI tools, data sources, KPIs

  • What a Data Analyst does, and where analytics fits in business
  • Data Analytics vs Business Analytics
  • The analytics method: from question to insight
  • BI tools and techniques; types of data
2

Python Programming FundamentalsJupyter, Colab, core Python, SQLite

  • Operators, data types and built-in functions
  • Lists, tuples, dictionaries, sets and functions
  • Intro to SQLite operations
  • Date-time handling and data cleaning
3

Python for Data Analysis & VisualisationNumPy, Pandas, Seaborn, Plotly, Streamlit

  • NumPy arrays and fast numerical work
  • Pandas Series and DataFrames on real data
  • Charts with Matplotlib, Seaborn and Plotly
  • Interactive mini-apps with Streamlit
4

Statistics, Probability & SQLEDA, MySQL, joins, window functions

  • Statistics and probability for analytics
  • Exploratory Data Analysis (EDA)
  • SQL with MySQL: DDL, DML, DQL, TCL, DCL
  • Joins, views, subqueries and window functions
5

Power BI: Visualisation & BIData modelling, Power Query, DAX, publishing

  • Data modelling and relationships
  • Power Query Editor
  • Dashboards with custom visuals and multi-page reports
  • Publishing, sharing and scheduled refresh
6

Advanced Excel & TableauFormulas, pivots, VBA, Tableau dashboards

  • Business formulas, data cleaning and charts in Excel
  • Macros and VBA automation
  • Tableau from data source to dashboard
  • SQL as a data source and executive dashboards
7

Generative AI for Data AnalyticsLLMs, NLP, prompt engineering

  • How large language models work
  • Prompt engineering basics and best practices
  • Using AI to summarise, explain and automate reports
  • Responsible and ethical use of AI
8

Capstone Projects & Career Prep3 live projects, resume, mock interviews

  • 3 mentor-reviewed, team-based analytics projects
  • Resume and LinkedIn profile
  • Naukri and Indeed profile updates
  • Mock interviews and Data Analyst interview prep
Proof of work

3 live projects for your portfolio

You use Python, SQL, Power BI, Tableau and Gen AI together, the same way real analytics teams work.

Project 1

World Bank Data Analytics

Find and present insights from global economic and social data.

Project 2

Bike Rental Data Analytics

Study demand trends and build a dashboard for decisions.

Project 3

Web Scraping with Python

Collect live web data with Python and Selenium, then clean and analyse it.

Advanced students also practise on real client reporting and dashboard work from our sister IT company, Delta 360 Services.

Who it's for

Built for freshers and career changers

  • Graduates who want to start a career in data analytics
  • People moving from a non-IT job into analytics
  • IT and engineering graduates who want job-ready skills
  • Business, marketing, finance and operations professionals
  • Freelancers and consultants adding data analysis
  • Working professionals who need recorded classes to keep up
Placement support

Placement support built into the course

Every enrolled student gets structured placement help. It is support, not a job guarantee: offers depend on your performance and the hiring company.

Step 1

5 months of live training

Taught by working professionals.

Step 2

Live project work

Hands-on projects with Delta 360.

Step 3

Mock interviews

Practice and interview question prep.

Step 4

Profiles & referrals

Resume, Naukri and Indeed updates, and job references.

1000+students placed*
3portfolio projects
Mockinterviews & prep
Everystudent gets placement support

*Cumulative Qualibytes IT Academy placements across all programs to date, not only Data Analytics. Ask your counselor for the course-wise breakdown.

Where our alumni work

TCSInfosysWiproAccentureCapgeminiTech MahindraDeloitteFlipkartGenpactDXC Technology

Organisations where Qualibytes alumni have been placed to date. This is not a guarantee of a job at any specific company.

Salary range for data roles (India, 2026)

Junior Data Analyst · 0–2 yrs

₹3.5–6 LPA

Data Analyst · 2–5 yrs

₹6–12 LPA

Senior Analyst / BI Dev · 5–8 yrs

₹12–22 LPA

Analytics Lead · 8+ yrs

₹22–35 LPA

Indicative Indian market ranges. Actual offers vary by candidate, batch performance and hiring company.

Certification

A certificate backed by real projects

You get the Qualibytes Data Analytics + Gen AI certificate only after a mentor reviews your capstone projects. It shows recruiters that you can do the work. It can be shared on LinkedIn and never expires.

FAQ

Common questions

Do I need a coding or maths background?

No. The course starts from the fundamentals, and mentors guide you phase by phase.

How long is the course, and how are classes held?

5 months of live classes, 5 days a week. Every session is recorded and available 24/7, so you can catch up if you miss one.

Is a job guaranteed?

No institute can honestly guarantee a job. Every student gets placement support: resume and profile building, mock interviews and job referrals. Offers depend on your performance and the hiring company.

Do I need to buy any software?

No. Google Colab, Jupyter, Power BI Desktop, Tableau Public, MySQL Community Edition and GitHub all have free versions for learning.

What is the fee, and is EMI available?

Your counselor will share the current fee, any scholarship you qualify for, and the payment options on your free call.

Where is Qualibytes located?

B-91, B Block, Sector 2, Noida, Uttar Pradesh 201301. Ask your counselor about classroom and online batches.

Your next 5 months start with one call

Talk to our admissions team about the syllabus, sample projects and a batch time that suits you. No pressure, no obligation.

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