A structured learning path from Excel and data fundamentals to SQL, Python, statistics, data cleaning, data visualization, dashboards and practical data analytics projects — for students, graduates, beginners, job seekers and working professionals who want to turn raw data into real business decisions.
One subject, three depths. Each track builds on the last, so a shorter option costs you scope, not foundation.
3 Months
Certificate
The core of Data Analytics at working pace — the modules an employer expects you to have used, closed with one guided project.
1
Projects
3
Modules
ISO-certified certificate
Apply for 3 Months6 Months
Certificate with Internship
The complete Data Analytics stack, then a client-style live project run to real requirements and deadlines — the version built for placement season.
2
Projects
7+
Tools
Certificate + internship letter
Apply for 6 Months9 Months
Expert Track
Data Analytics plus a second specialisation, with a dedicated mentor and client-level project work — our deepest programme.
4+
Projects
2
Tracks
Advanced diploma + internship letter
Apply for 9 MonthsNot sure which length fits? A counsellor maps it to your semester, your placement season and the time you actually have — usually in one call.
A 3 – 9 months beginner programme, assessed on project work and closed with a verifiable credential.
The Data Analytics Diploma Program in Mohali provides a structured learning path from Excel and data fundamentals to SQL, Python, statistics, data cleaning, data visualization, dashboards and practical data analytics projects. Data Analytics helps organizations turn raw data into useful information. Students learn how to work with datasets, identify patterns and trends, create reports and dashboards, and communicate meaningful insights from data. The program focuses on practical learning rather than theory alone — students work with datasets, analytical exercises, SQL queries, Excel reports, Python programming, dashboards, data visualization, assignments and real-world projects.
On completion, the holder can
Particulars
Awarded by
techcadd Mohali
4 modules and 12 topics. Each one is assessed, and each closes in work that goes into the portfolio submitted with the certificate.
Every competency below is taught hands-on and assessed before the certificate is issued.
Data types, structured vs unstructured data, and data quality fundamentals
Excel & Data Fundamentals
Excel formulas and functions — IF, SUMIF, COUNTIF, XLOOKUP, VLOOKUP, INDEX/MATCH
Excel & Data Fundamentals
SQL fundamentals — tables, keys, SELECT, WHERE, ORDER BY, GROUP BY, HAVING, aggregate functions
SQL for Data Analysis
Joins — INNER, LEFT, RIGHT and combining data across multiple tables
SQL for Data Analysis
Statistics for analytics — mean, median, mode, variance, standard deviation, correlation
Statistics & Python for Analytics
Python, NumPy and Pandas — data cleaning, filtering, grouping, merging and transformation
Statistics & Python for Analytics
Data visualization — charts, graphs, KPI visualizations and interactive dashboards
Visualization, Power BI & Projects
Power BI — data import, transformation, modelling, DAX, filters, slicers and dashboard design
Visualization, Power BI & Projects
A credential is only worth the work behind it. This is the work behind this one.
Excel → Data Cleaning → SQL → Statistics → Python → Data Analysis → Visualization → Power BI → Dashboards → Projects — the full pipeline raw data actually goes through, not tools taught in isolation.
Students practice working with spreadsheets, cleaning datasets, writing SQL queries, analysing data with Python, building dashboards and presenting insights — not theory alone.
Excel, SQL, Python and Power BI are taught as one connected analytics workflow rather than separate courses, so a report built in one tool can be explained and defended end to end.
Resume preparation, dashboard-portfolio development, interview preparation and SQL/Excel/Python interview questions sit alongside the technical curriculum.
Anyone interested in data, business analysis, technology, numbers, reporting and problem-solving can start learning Data Analytics with a structured learning path — no prior experience required.
12th-pass students can start with Excel and data fundamentals; BCA, B.Tech, BBA, B.Com, MCA, MBA, BSc-IT and BSc students can learn analytics alongside their academic education.
Graduates can develop analytical and technical skills toward Data Analytics and Business Intelligence roles; job seekers can build a dashboard-driven portfolio.
Professionals already using Excel can develop advanced analysis skills and learn SQL, Python, visualization and dashboards; working professionals can improve reporting and automate data tasks.
People working in sales, marketing, finance, operations, HR, administration or management can use analytics skills to understand and interpret business data.
Business owners can learn how data monitors sales, customers, expenses and performance; professionals from other fields can use this as a starting point into data careers.
Anyone interested in numbers, reports, charts or business insights, with no previous Data Analytics experience, can use this program as a structured starting point.
Conditions of admission
Unsure whether your background qualifies? A ten-minute counselling call settles it — no obligation.
Speak to admissionsDepending on the current Data Analytics curriculum, students may work with the following — the exact software, database systems and technologies should be confirmed with the current Techcadd Mohali session before treating them as fixed curriculum details:
issued on completing the programme, subject to techcadd's certification requirements
Excel reports, SQL queries, Python analysis and Power BI dashboards you can show in an interview
data-cleaning issues, SQL errors, formula problems and visualization decisions — trainer guidance helps students work through these step by step
resume preparation, dashboard presentation, and SQL/Excel/Python interview-question preparation alongside the technical curriculum
Issued by
techcadd Computer Education
Verifiable by roll number, so a recruiter can confirm your record with techcadd — soft copy in your student portal, hard copy at the campus.
After developing the required technical skills, practical projects and portfolio, students can explore roles such as Data Analyst, Junior Data Analyst, Business Data Analyst, Reporting Analyst, Business Intelligence Analyst, MIS Analyst, Data Visualization Analyst, Operations Analyst, Marketing Analyst, Sales Analyst and Financial Data Analyst.
Sales, customer, marketing, financial, website, employee and operational data all get analysed across almost every business function, so these skills apply well beyond roles with "data" in the title.
Career opportunities depend on the learner's technical knowledge, analytical ability, project portfolio, experience, communication skills and interview performance — this program provides the foundation, not a guarantee.
Clean a raw dataset in Excel and build a Pivot Table / Pivot Chart report for a business scenario.
Write SQL queries — joins, grouping, aggregates — against a business database to answer real analytical questions.
Use Python, NumPy and Pandas to clean a dataset and explore trends, patterns and outliers.
Import, transform and model data into an interactive Power BI dashboard with KPIs, filters and slicers.
using datasets, Excel, SQL, Python, visualization tools, dashboards and projects, not theory alone.
students can start with basic data concepts and Excel before progressing toward SQL, Python, statistics and business intelligence.
opportunities to work on practical datasets and build real analytics projects and dashboards.
guidance on resume preparation, Data Analytics portfolio, dashboard presentation, and SQL/Excel/Python interview preparation.
In-person sessions with hands-on practice, depending on current session availability.
Graduates of this programme, on what the practical approach gave them.
4.6
399 recorded reviews
“I joined the 6-month MERN track straight after B.Tech with almost no practical experience. The live project work is what changed things — I had real code to talk about in interviews instead of just a syllabus.”
“The trainers actually work in the field, so every session had context from real projects. The Power BI and SQL modules were exactly what my interview rounds tested.”
“The Generative AI course was current in a way online tutorials are not. Building a full RAG pipeline and deploying it gave me something genuinely impressive for my portfolio.”
“Running real ad budgets during the course was the difference. I walked into my first job already knowing how to read a campaign report and fix what was underperforming.”
Still unsure? A ten-minute call with a counsellor usually settles it faster than any brochure.
A Data Analytics Diploma Program teaches students how to collect, clean, analyse, visualize and interpret data using tools such as Excel, SQL, Python and Power BI.
Submit the form and an admissions counsellor from the Mohali centre will confirm session dates, fees and your place — usually the same working day.
Your details are used only to contact you about this application — never sold, never added to a marketing list.
Don't just look at data — learn how to understand it and turn it into meaningful insights. Learn Excel, Advanced Excel, SQL, Statistics, Python, NumPy, Pandas, Data Cleaning, Data Visualization, Power BI, Power Query, DAX, Dashboards, Business Analytics and practical Data Analytics projects with Techcadd, Mohali.
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