Want to understand data and make better business decisions? Learn Excel, SQL, Python, Power BI, and data visualisation through practical exercises and project-based learning at techcadd.
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Duration
To be confirmed by techcadd
Level
Beginner to intermediate, depending on the final syllabus
Eligibility
Basic computer knowledge is helpful; confirm any additional requirements before enrolling
Format
Practical exercises, guided assignments and projects
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since 2016
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live client work
Batches: Morning · Afternoon · Evening · Weekend · Live online · 1:1 session
Make Sense of Data. Turn Insights into Action.
Data analytics is the process of examining information to identify patterns, understand performance, and answer important business questions. Organisations use data analytics to study customer behaviour, monitor sales, improve operations, and make better decisions.
The Data Analytics Certificate Course in Chandigarh at techcadd introduces learners to the essential techniques and tools used in modern data analysis. You can explore spreadsheet-based analysis, SQL queries, data cleaning, statistical concepts, Python libraries, and dashboard development.
The learning process begins with understanding datasets and preparing information for analysis. You can then progress to exploring trends, comparing results, creating visual reports, and communicating findings in a structured way.
Practical assignments and projects help you connect concepts with realistic business situations. For example, you may explore sales data, compare performance across categories, identify customer trends, or present important metrics through a dashboard.
The course is suitable for learners who want to develop analytical thinking and build a foundation for further learning in data analytics, reporting, or business intelligence.
Learn how to turn raw data into meaningful business insights with the Data Analytics Certificate Course in Chandigarh at techcadd. Develop practical skills in Excel, SQL, Python, data visualisation, and Power BI to understand data, identify trends, and support smarter decisions.
This course is designed for students, graduates, beginners, and working professionals who want to explore data analytics or strengthen their existing analytical skills. Through structured learning, hands-on exercises, and practical projects, you can understand how data is collected, cleaned, analysed, and presented in a clear and useful format.
From creating spreadsheets and writing SQL queries to building dashboards and interpreting business reports, the course introduces you to essential data analytics techniques. Whether you are starting from scratch or looking to expand your technical knowledge, the focus is on developing a strong foundation that you can continue building through practice and real-world experience.
The Data Analytics Certificate Course follows a suggested progressive structure, starting with foundational spreadsheet and statistical concepts and moving through SQL, Python, data cleaning, exploratory analysis, visualisation, Power BI and business reporting. The learning stages described in the source material are suggested learning structures, not confirmed course packages. The final syllabus, course duration, module sequence, tools, projects, and certification details should all be confirmed with techcadd before publishing.
Module 01 · 3 topics
A clear understanding of the analytics workflow, business questions, and common applications.
You finish with: 3-Month
Module 02 · 1 topic
A spreadsheet-based summary report using formulas, pivot tables, and charts.
You finish with: 3-Month
Module 03 · 3 topics
A statistics exercise applying descriptive measures to a sample dataset.
You finish with: 3-Month
Module 04 · 3 topics
A set of SQL queries answering analytical questions from a sample database.
You finish with: 3-Month
Module 05 · 3 topics
A set of Python scripts demonstrating core programming concepts and file handling.
You finish with: 6-Month
Module 06 · 3 topics
A data manipulation exercise working with a sample dataset using Pandas and NumPy.
You finish with: 6-Month
Module 07 · 3 topics
A cleaned and prepared dataset ready for exploratory analysis.
You finish with: 6-Month
Module 08 · 4 topics
An exploratory data analysis report on a sample dataset with early findings.
You finish with: 6-Month
Module 09 · 4 topics
A visual report summarising a sample dataset with clear insights.
You finish with: 6-Month
Module 10 · 3 topics
A Power BI dashboard summarising key business metrics for a sample dataset.
You finish with: 6-Month
Module 11 · 3 topics
A business performance report with KPIs, trends, and recommendations.
You finish with: 6-Month
Module 12 · 6 topics
A documented data analytics project ready to include in a portfolio.
You finish with: 6-Month
Every module combines conceptual learning with practical exercises using sample datasets. The goal is to help you understand how analytics workflows operate in real business situations, rather than simply memorising formulas or chart types.
The Data Analytics Certificate Course at techcadd introduces the key skills needed to work with data confidently, from spreadsheet and SQL fundamentals through to Python analysis, dashboards and business reporting.
Understand the data analytics workflow, including how business questions, data sources, and analysis methods connect.
Organise and analyse information in Excel using formulas, pivot tables, lookups, and summary reports.
Write SQL queries to retrieve, filter, combine, and summarise data from relational databases.
Use Python and Pandas to clean, transform, and prepare datasets for analysis.
Clean datasets by handling missing values, removing duplicates, and standardising formats.
Apply basic statistical concepts, including measures of central tendency, dispersion, correlation, and sampling.
Explore patterns and trends in datasets, identify outliers, and draw evidence-based conclusions.
Create charts and visual reports using Matplotlib, Seaborn, and Excel where appropriate.
Build interactive dashboards and reports using Power BI, including data models, slicers, and filters.
Identify and monitor business performance indicators, compare actual versus target results, and communicate findings clearly.
Your progress will depend on your starting knowledge, practice, and completion of the course activities. The objective is practical analytics ability — learning how to organise data, apply analytical methods, and communicate insights, rather than simply memorising tool features.
Businesses generate data through sales, websites, customer interactions, marketing campaigns, and daily operations. However, raw numbers do not automatically explain what is working or what needs improvement. Data analytics helps transform that information into insights that people can use. It can reveal sales trends, customer preferences, campaign performance, operational challenges, and opportunities for improvement. The strongest foundation comes from understanding why an analysis is needed, selecting the right method, checking the results, and explaining what the findings mean.
Learn how information is structured, stored, and prepared so that analysis produces reliable results.
Understand how to spot missing values, duplicates, and formatting issues before analysis begins.
Build practical familiarity with formulas, pivot tables, and spreadsheet-based reports.
Learn to query relational databases and pull the information needed to answer business questions.
Build clear, informative visualisations using chart types appropriate to the data and the question.
Work with Power BI or a comparable dashboard tool to build interactive reports that support decisions.
Learning data analytics involves more than memorising formulas or creating charts. It requires understanding the problem, preparing the data correctly, selecting an appropriate method, and explaining the result. When considering the Data Analytics Certificate Course at techcadd, look for a learning experience that supports these essential skills.
Look for opportunities to practise with datasets and apply the concepts covered in class.
Excel, SQL, Python, and dashboard platforms can help learners understand different parts of the analytical workflow.
A structured curriculum can help beginners develop confidence before progressing to more complex tasks.
Projects provide opportunities to apply concepts and create examples of your work.
Learning to analyse information and communicate insights can support further study and preparation for data-related roles.
If you are searching for a Data Analytics Certificate Course in Chandigarh, contact techcadd to check the training location, current batches, and available course options.
Data analytics is a valuable skill for anyone who wants to understand business information, identify patterns, and communicate findings clearly. This course provides a structured learning path for learners at different starting points.
Students from computer science, IT, commerce, mathematics, management, and related backgrounds can learn how organisations use data to solve problems.
If you enjoy working with numbers, finding patterns, or understanding business performance, data analytics can be a useful skill to explore.
Professionals who regularly work with spreadsheets, reports, or business information can develop stronger analytical and visualisation skills.
Learners interested in analysing datasets, preparing reports, and presenting insights can build relevant foundational knowledge.
People working in sales, marketing, operations, or management can use analytics skills to understand campaign results, customer behaviour, and performance metrics.
Individuals exploring a new career direction can begin learning commonly used data analysis tools and develop practical projects to demonstrate their skills.
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Everything below is installed on the lab machines and used on live work, not shown once in a slide and forgotten.
Every project below is built under a trainer's review and ends up in your portfolio.
Analyse sample sales data to identify high-performing products, monthly revenue trends, and category-level performance.
Explore a sample customer dataset to understand purchasing patterns, customer segments, and changes in engagement.
Create a dashboard showing key metrics, trends, and performance comparisons for a sample business.
Examine sample campaign data to compare impressions, clicks, conversions, and costs across different campaigns.
Analyse sample inventory data to identify fast-moving products, slow-moving stock, and possible stock management issues.
Explore a sample educational dataset to identify patterns in student results and examine relationships between selected factors.
Certificationconfirm certification details with techcadd
Industry certificate
Verifiable online, issued on completion of your assessment and project.
Internship letter
Issued for real client work you contributed to — not for attendance.
Live client projects
Actual briefs with deadlines, reviews and a deployment at the end.
Doubt-clearing sessions
Scheduled weekly, plus open lab hours whenever a trainer is on the floor.
techcadd
Computer Education
CERTIFICATE
of Project Excellence
This is to certify that
Student Name
★techcadd
Computer Education
CERTIFICATE
of Course Completion
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Student Name
★Data analytics is used in many industries, including retail, finance, healthcare, education, logistics, technology, and digital marketing. Organisations use analytical methods to understand performance, monitor trends, improve customer experiences, and support operational decisions.
Entry-level
Analyse datasets, identify trends, and prepare reports that support business decisions. Relevant skills: Excel, SQL, data visualisation, and reporting.
Entry-level
Help teams understand business requirements, examine information, and identify opportunities for improvement. Relevant skills: Excel, SQL, requirements gathering, and reporting.
Entry-level
Prepare reports, track performance metrics, and communicate results to relevant teams. Relevant skills: Excel, SQL, Power BI, and business metrics.
Entry-level
Work with data models, dashboards, and visual reports to help organisations monitor performance. Relevant skills: Power BI, SQL, data modelling, and visualisation.
Entry-level
Prepare management information reports and maintain business data using spreadsheets and reporting tools. Relevant skills: Excel, data organisation, reporting, and business metrics.
Entry-level
Analyse marketing performance, campaign results, website metrics, and customer engagement. Relevant skills: Excel, SQL, digital analytics tools, and visualisation.
Entry-level
Examine operational data to identify patterns, track performance, and support process improvements. Relevant skills: Excel, SQL, data analysis, and reporting.
| Role | Punjab & Tricity | Delhi NCR & metros | Remote & freelance |
|---|---|---|---|
| Data Analyst | Shared at counselling | Shared at counselling | Shared at counselling |
| Junior Business Analyst | Shared at counselling | Shared at counselling | Shared at counselling |
| Reporting Analyst | Shared at counselling | Shared at counselling | Shared at counselling |
| Business Intelligence Analyst | Shared at counselling | Shared at counselling | Shared at counselling |
| MIS Executive | Shared at counselling | Shared at counselling | Shared at counselling |
| Marketing Data Analyst | Shared at counselling | Shared at counselling | Shared at counselling |
| Operations Analyst | Shared at counselling | Shared at counselling | Shared at counselling |
Indicative ranges, not offers. Pay varies with the employer and, above all, the portfolio you can show.
Focus on data handling, Excel, SQL, analytical thinking, and visualisation. Begin building a portfolio of practical projects that demonstrate your skills.
With practical experience, you can explore business intelligence, advanced data visualisation, marketing analytics, financial analytics, customer analytics, predictive analytics, and cloud-based analytics.
Experienced practitioners may progress towards analytics leadership, data science, machine learning, data engineering, or strategic business intelligence roles, depending on their experience and interests.
Organisations increasingly expect analysts to connect data to business outcomes rather than just produce reports.
Interactive dashboards and self-service analytics tools are becoming standard in many organisations.
Data quality and governance remain important foundations for reliable reporting and analysis.
Cloud platforms are reshaping how organisations store, process, and analyse data.
Analytics work increasingly overlaps with data science, particularly in predictive analytics and machine learning use cases.
Compare
Data analytics and data science overlap significantly, and the responsibilities of individual roles vary by organisation. The comparison below outlines common differences between the two fields.
| Feature | techcadd | Data Science |
|---|---|---|
| Main Focus | Answering questions and understanding trends in data | Analysing data and developing models to investigate patterns or make predictions |
| Common Tasks | Reporting, dashboard creation, trend analysis, and performance monitoring | Complex analysis, experimentation, predictive modelling, and machine learning |
| Common Tools | Excel, SQL, Power BI, Tableau, and Python | Python, SQL, statistics, machine learning libraries, and visualisation tools |
| Learning Foundation | Data handling, statistics, reporting, and visualisation | Programming, statistics, analytics, and machine learning |
| Typical Outcomes | Reports, dashboards, performance insights, and recommendations | Analytical findings, statistical models, and predictive solutions |
The two fields overlap, and responsibilities vary by organisation and role. A strong foundation in Excel, SQL, statistics, and data visualisation supports both career directions.
Real feedback from learners who completed training, projects, internships and placement preparation.
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techcadd runs Data Analytics Certificate Course in Chandigarh over To be confirmed by techcadd. Weekday, evening and weekend batches cover the same syllabus, and 1-on-1 training is available if you would rather set your own pace.
Fees vary by batch and any live offer running at the time — talk to a counsellor for the current number. There is no registration fee.
Data Analytics Certificate Course in Chandigarh is built for people at several starting points — students, graduates and working professionals switching tracks. What matters more than your background is turning up consistently and finishing what each module asks you to build.
Graduates typically move into Data Analyst, Junior Business Analyst, Reporting Analyst, Business Intelligence Analyst, MIS Executive, Marketing Data Analyst, Operations Analyst. These are roles that keep appearing on Chandigarh job boards.
Pay depends on the portfolio you can show more than the certificate alone. Use the free salary estimator for an honest range by role, experience and employer type rather than a brochure number.
No genuine institute can guarantee a job, and we will not tell you otherwise. What we do run is a placement cell: CV and portfolio review, mock interviews, aptitude practice and drives with our 500+ hiring partners, continuing after your course finishes until you are placed.
You will work hands-on with Microsoft Excel, SQL, Python, Pandas, NumPy, Power BI, Tableau, Jupyter Notebook, Matplotlib, Seaborn.
Yes. Every student finishes with an industry-recognised certificate and a documented internship on real work.
Real projects. You work on genuine client requirements under supervision — that is where your portfolio comes from, and it is the first thing an interviewer asks to see.
Yes. Weekday, evening, weekend and 1-on-1 formats all run in parallel, so you can pick whichever fits your week.
Send your question and a counsellor will call you back about batch timings, fees, EMI options, placement record, or whether this course fits your background.
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