01
Students After 12th
Students from commerce, arts, science, humanities, management and other streams can begin with the fundamentals and gradually develop technical analytics skills.
Start right after school
Best After 12th 4-Month Data Analytics & Business Analysis Program in Mohali
Turn data into meaningful business decisions with a practical four-month programme covering Excel, SQL, Python, Power BI, Tableau, business analysis and modern AI productivity tools. Build dashboards, analyse real-world datasets, work with business requirements and complete a portfolio-ready analytics capstone.
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01Where this starts
Course Overview
The programme is built around a practical question: how can raw business data be transformed into information that helps people make better decisions?
The first month establishes your analytics foundation. You learn the data analytics lifecycle, advanced Excel, SQL fundamentals, Python basics and business statistics. You also become familiar with AI productivity tools that can support research, coding, documentation and reporting.
In the second month, the programme moves deeper into SQL, data manipulation and exploratory data analysis. You work with joins, CTEs, subqueries and window functions while using Pandas and NumPy to clean and transform datasets. You also explore data visualisation, APIs, web scraping and interactive analytics applications.
Month three focuses on Business Intelligence. You learn how to build data models and dashboards using Power BI and Tableau. The curriculum introduces Power Query, star schemas, fact and dimension tables, DAX measures, time intelligence, KPI reporting and dashboard storytelling.
The final month introduces business analysis and professional project practices. You learn requirement gathering, BRD and FRD documentation, Agile and Scrum concepts, user stories, project management and AI-assisted productivity.
The programme ends with an enterprise analytics capstone combining requirements, SQL, Python analysis, business intelligence dashboards and professional documentation.
Where it takes you
- Data Analyst
- Business Analyst
- Reporting Analyst
- BI Analyst
- Junior Data Scientist
02Skills you collect
What You'll Learn
The programme is structured around practical outcomes so that you finish with work you can explain, demonstrate and add to your portfolio.
Analyse Business Data
Learn how to take raw datasets through cleaning, transformation, analysis and interpretation to identify useful business insights.
Work with Excel & SQL
Develop strong spreadsheet and database skills for reporting, data analysis and business decision-making.
Analyse Data with Python
Use Python, Pandas and NumPy to clean datasets, manipulate information, identify patterns and perform exploratory analysis.
Build BI Dashboards
Create interactive Power BI and Tableau dashboards using data models, calculated measures, filters, KPIs and visual storytelling.
Understand Business Requirements
Learn how analysts communicate with stakeholders, gather requirements and convert business problems into structured documentation.
Complete an Enterprise Capstone
Bring your technical and business skills together through a complete analytics project that can become a central piece of your portfolio.
03The route
Course Curriculum
The four-month curriculum progresses from analytics fundamentals to advanced querying, data visualisation, business intelligence, business analysis and an integrated capstone.
- Data Analytics Fundamentals
- Understand the analytics lifecycle and the difference between descriptive, diagnostic, predictive and prescriptive analytics. Learn how organisations use data to support business decisions.
- Advanced Excel for Analysts
- Work with data cleaning, formulas, XLOOKUP, INDEX-MATCH, pivot tables, pivot charts, conditional logic, Power Query fundamentals and interactive dashboard creation.
- SQL Fundamentals
- Learn databases, tables, relationships, primary keys, foreign keys and essential SQL commands including SELECT, WHERE, GROUP BY, HAVING and aggregate functions.
- Python Fundamentals
- Start with variables, data types, conditions, loops, functions, modules, exception handling and basic object-oriented programming concepts.
- Business Statistics
- Understand mean, median, standard deviation, probability, correlation, distributions and outliers, with a focus on how statistics support business analysis.
- Month 1 Practical: Complete an Excel reporting project and introductory SQL/Python exercises using structured datasets.
Practical Work Every Month
Each month closes on build work rather than revision — an Excel reporting project with introductory SQL and Python in month one, a full dataset analysis in month two, a Power BI dashboard with a complementary Tableau project in month three, and the enterprise capstone in month four.
Outcome
The capstone runs the whole workflow in one project — business requirements, SQL, Python analysis, data visualisation, Power BI dashboards and executive reporting, documented as a portfolio case study.
04Your toolkit
Tools You Will Work With
The programme introduces a range of tools used across analytics, business intelligence and professional reporting workflows. The objective is not to memorise software features — you learn how different tools fit together within an actual analytics workflow.
Microsoft ExcelAdvanced ExcelPower QuerySQLPythonPandasNumPyMatplotlibSeabornPlotlyPower BIDAXTableauStreamlitMicrosoft ExcelAdvanced ExcelPower QuerySQLPythonPandasNumPyMatplotlibSeabornPlotlyPower BIDAXTableauStreamlitMicrosoft ExcelAdvanced ExcelPower QuerySQLPythonPandasNumPyMatplotlibSeabornPlotlyPower BIDAXTableauStreamlit
Git & GitHubVS CodeREST APIsJSONBeautifulSoupJiraConfluenceMicrosoft FabricSnowflakedbtChatGPTGitHub CopilotGeminiGit & GitHubVS CodeREST APIsJSONBeautifulSoupJiraConfluenceMicrosoft FabricSnowflakedbtChatGPTGitHub CopilotGeminiGit & GitHubVS CodeREST APIsJSONBeautifulSoupJiraConfluenceMicrosoft FabricSnowflakedbtChatGPTGitHub CopilotGemini
- Microsoft Excel
- The first reporting surface — cleaning, formulas and pivots.
- Advanced Excel
- XLOOKUP, INDEX-MATCH, conditional logic and dashboards.
- Power Query
- Repeatable cleaning and transformation before analysis.
- SQL
- Joins, CTEs, subqueries, views and window functions.
- Python
- The language behind months two and four.
- Pandas
- Importing, filtering, grouping and merging datasets.
- NumPy
- Arrays and the numeric work underneath Pandas.
- Matplotlib
- The base plotting library for analytical charts.
- Seaborn
- Statistical charts for exploratory analysis.
- Plotly
- Interactive visuals that a reader can explore.
- Power BI
- Data models, dashboards and executive reporting.
- DAX
- Measures, time intelligence and dynamic calculations.
- Tableau
- Calculated fields, parameters, maps and data storytelling.
- Streamlit
- Turning an analysis into an interactive application.
- Git & GitHub
- Version control and where your project portfolio lives.
- VS Code
- The editor the Python and SQL work is written in.
- REST APIs
- Bringing external data into the analytics workflow.
- JSON
- The format that API data arrives in.
- BeautifulSoup
- Basic web data extraction.
- Jira
- Tasks, requirements and sprint workflow.
- Confluence
- Where the requirement documents are written up.
- Microsoft Fabric
- The lakehouse-era analytics platform.
- Snowflake
- The cloud data warehouse.
- dbt
- Transformations inside the ELT pipeline.
- ChatGPT
- Research, documentation and analysis support.
- GitHub Copilot
- Code assistance for SQL and Python work.
- Gemini
- A second assistant for research and reporting.
05Is this you?
Who Can Join This Programme?
02
Commerce & B.Com Students
Students with a commerce background can use their understanding of business and numbers as a foundation for learning Excel, SQL, Power BI and business analysis.
03
College Students
Graduation students can develop practical analytics skills alongside their academic education and start building a professional portfolio.
04
Aspiring Data Analysts
If you want to move towards Data Analyst, MIS, Reporting or Business Intelligence roles, the programme introduces the core technical and analytical skills required for these paths.
05
Career Switchers
Professionals from non-technical backgrounds can start from the basics and gradually progress towards data analysis and business intelligence.
06
Self-Learners
If you have learned individual tools through online tutorials but struggle to connect them into one workflow, the project-based structure can help you build a more organised skill set.
06Why this one
Why This Programme Is Worth Four Months
01
Strong Excel & SQL Foundation
Excel and SQL remain important skills for reporting, business analysis and data-related roles. The programme takes both beyond basic formulas and simple queries.
02
Python for Modern Analytics
Learn Python alongside Pandas and NumPy so you can work with larger datasets and automate parts of the analysis process.
03
Power BI & Tableau
Gain exposure to two major business intelligence platforms and learn how to create interactive dashboards and reports.
04
Business Analysis Skills
Technical knowledge alone is not enough. Learn requirement gathering, documentation, stakeholder communication and Agile project practices.
05
Modern Data Concepts
Understand data warehouses, data lakes, ETL, ELT, APIs and modern cloud-oriented data platforms.
06
AI-Assisted Productivity
Learn how generative AI tools can assist analysts with SQL, documentation, research, reporting and repetitive tasks while maintaining human review.
07
Portfolio-Based Learning
Your practical assignments and capstone can be organised into case studies that demonstrate your skills to recruiters or potential clients.
07Why now
Build the Skills Behind Data-Driven Business
Businesses across industries generate large amounts of information through sales, marketing, finance, operations and customer interactions.
The challenge is no longer simply collecting data. Organisations need people who can clean it, analyse it, visualise it and communicate what the numbers mean.
A strong foundation in Excel, SQL, Python and business intelligence can help learners move towards a variety of data and reporting roles.
By the end of the programme, you can have
- Practical Excel and SQL experienceMonths 1 and 2 — dashboards, joins, CTEs and window functions.
- Python analytics projectsMonth 2 — Pandas, NumPy, exploratory analysis and visualisation.
- Power BI dashboardsMonth 3 — data models, DAX measures and executive KPI reports.
- Tableau visualisationsMonth 3 — calculated fields, parameters, maps and storytelling.
- Business analysis documentationMonth 4 — BRD, FRD, user stories and acceptance criteria.
- An enterprise capstoneMonth 4 — requirements through to executive reporting in one project.
- GitHub project documentationMonth 4 — your work written up and version-controlled.
- A professional portfolio foundationMonth 4 — six projects organised as case studies.
- Resume and interview preparationMonth 4 — presenting the projects and the decisions behind them.
Talk to a Course Advisor
Ten minutes with the techcadd team settles eligibility, session timings, fees and where this leads — before you commit four months to it.
08Certification
Get Certified in Data Analytics & Business Analysis
Successfully complete the required coursework, practical assignments and project assessments to receive applicable course and project documentation.
Course Completion CertificateDocuments your successful completion of the Data Analytics & Business Analysis programme.
Project CertificateRecognises your practical project work completed during training.
Capstone DocumentationProvides a structured record of your final analytics project and the technologies and processes used.
Internship DocumentationWhere applicable, students can receive relevant internship or project documentation based on their training.
Portfolio SupportOrganise your projects into professional case studies that can be presented during interviews.
Placement AssistanceReceive support with resume preparation, portfolio presentation, interview practice and relevant career opportunities.
Capstone Defense
Fullscreen
Project Completion Certificate
ISO 9001:2015 Accredited
Fullscreen
Course Completion Certificate
Two documents on completion — the course certificate, and a separate certificate for the capstone you build and defend. Click any card to inspect in full screen.
09Where it leads
Where This Course Takes You
The combination of technical analytics and business understanding can prepare learners for multiple entry-level and junior career paths.
Roles this programme prepares you for
Analyse datasets, identify trends, create reports and communicate insights to business teams.
10What you build
Hands-on Projects You Will Ship
01
Interactive Excel Business Dashboard
Clean a business dataset, create pivot tables and charts, apply advanced formulas and use Power Query to develop a practical reporting dashboard. Outcome: Excel Business Dashboard
02
SQL Business Reporting System
Work with related customer, product and transaction datasets using joins, CTEs, subqueries and window functions to answer business questions. Outcome: SQL Reporting Case Study
03
Python EDA & Business Insights
Clean and transform a raw dataset using Pandas and NumPy, investigate patterns and create meaningful visualisations. Outcome: Python Analytics Report
04
API & Interactive Analytics Application
Work with API-based data or structured web information and present the results through an interactive analytics application. Outcome: Interactive Analytics App
05
Power BI & Tableau Dashboard
Build a structured data model, create DAX measures and develop an executive Power BI dashboard, followed by a Tableau visualisation project. Outcome: Business Intelligence Portfolio Project
06
Enterprise Analytics Capstone
Complete a full analytics workflow starting with business requirements and moving through SQL, Python analysis, data visualisation, Power BI dashboards and executive reporting. Outcome: Enterprise Data Analytics Case Study
11How it works
Learn It. Build It. Present It.
Every major project follows a practical process that helps you understand both the technical work and the business reasoning behind it.
Understand
Identify the business question, available data and expected outcome.
Interactive Excel Business DashboardPrepare
Clean, structure and validate the data before beginning analysis.
SQL Business Reporting SystemAnalyse
Use Excel, SQL or Python to explore the data and identify useful patterns.
Python EDA & Business InsightsVisualise
Turn analytical findings into dashboards, charts and reports using Power BI or Tableau.
API & Interactive Analytics ApplicationExplain
Translate technical findings into clear business insights and recommendations.
Power BI & Tableau DashboardPresent
Document the project and present your decisions as a professional portfolio case study.
Enterprise Analytics Capstone12Why techcadd
Why Students Choose techcadd
The programme connects technical analytics with practical business requirements instead of treating every tool as a separate subject.
01
Practical Learning
Work through exercises, assignments and projects to reinforce concepts beyond classroom explanations.
02
Beginner-Friendly Approach
The curriculum starts with fundamentals and gradually progresses towards SQL, Python, BI and business analysis.
03
Multiple Analytics Tools
Learn Excel, SQL, Python, Power BI and Tableau within one structured programme.
04
Business Analysis Exposure
Understand requirements, documentation, stakeholder communication and Agile workflows alongside technical analytics.
05
Portfolio Development
Major projects can be organised into case studies for your resume, GitHub profile and interviews.
06
AI Productivity
Understand how modern AI tools can assist with research, coding, documentation and reporting.
07
Interview Preparation
Receive guidance on explaining projects, discussing technical decisions and presenting your portfolio professionally.
13Who has walked it
Students who started where you are
Alumni of this route, on what changed once they were sitting in interviews.
4.6
399 reviews
577%
414%
35%
22%
12%
I did my graduation in B.Com and honestly had zero coding background. I was scared to even open Excel formulas. But the trainers at Techcadd started from absolute basics and by the second month I was writing SQL queries confidently. Best decision I made after graduation.
I was working in a BPO in Chandigarh and wanted a career switch. Joined the Data Analytics course in Mohali at Techcadd on weekends, and within 6 months I had a portfolio of projects to show in interviews. Got placed as a Junior Data Analyst soon after.
1:1 session format actually makes a huge difference. There were only 10 of us, so the trainer knew exactly where each person was struggling. Power BI and Tableau modules were taught really practically, not just theory.
Came in from a BA background, honestly didn't expect to enjoy Python this much. The trainers made statistics and Python feel less intimidating. Only thing I'd say is the session pace picks up quickly once basics are done, so you need to stay consistent.
I work in Mohali IT Park and wanted to add analytics skills to my resume. Evening sessions worked perfectly for my schedule. The SQL and Power BI training was directly applicable to my current job within weeks.
What stood out for me was the placement support. They didn't just teach tools and leave us to figure out jobs — mock interviews and resume sessions were genuinely useful. Got two interview calls within a month of finishing the course.
I'm from a B.Sc background and always liked numbers but didn't know how to turn that into a career. This course gave me a clear direction — Excel to SQL to Power BI to Python, step by step. Never felt overwhelmed.
Good course overall, especially the live projects. I'd recommend it to anyone from Mohali or Chandigarh looking to get into analytics seriously. Would've liked a bit more practice time on Python, but overall solid.
I was the classic commerce-background, math-phobic student. The trainers didn't move to Python until literally everyone was comfortable with Excel and SQL. That patience made a real difference for someone like me.
Honestly one of the better training centers I researched around the Tricity. The capstone project at the end felt like real consulting work — I use it in my portfolio even now during interviews.
Switched from a sales job to data analytics after this course. The local placement connections in Mohali and Chandigarh actually helped — got my first interview through a company Techcadd's placement cell referred.
14Before you go
Frequently Asked Questions
Still unsure? A ten-minute call with a counsellor usually settles it faster than any brochure.
The programme is structured as a four-month learning path covering analytics foundations, SQL, Python, business intelligence, business analysis and a final capstone.
15Final stage
Ask About Data Analytics & Business Analysis Program in Mohali
Have questions about course fees, eligibility, session timings, projects or career opportunities?
Speak with a course advisor to understand the programme and find out whether Data Analytics and Business Analysis are the right career direction for you.
Location: Mohali, Punjab. Counselling hours: Monday to Saturday, 9:00 AM to 7:00 PM.
+91 98881 22442Call the admissions desk+91 98881 22442WhatsApp for a quick replyinfo@techcadd.comEmail us your questions
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Still deciding
Not Sure If Data Analytics Is Right for You?
Starting a career in analytics becomes easier when you understand the tools, projects and career paths involved.
Explore the practical training approach, discuss your goals with a course advisor and discover how a Data Analytics & Business Analysis Program in Mohali can help you build job-oriented technical and business skills.
Get Started Today
- 4 months, 12th pass onward, any stream
- Advanced Excel, Power Query and SQL from the fundamentals
- Python, Pandas, NumPy, EDA and visualisation
- Power BI, DAX and Tableau across one BI module
- Business analysis — BRD, FRD, Agile, Scrum and Jira
- Generative AI as an analyst's productivity tool
- 6 portfolio projects closing on an enterprise capstone