In short: a 12-module, project-based Data Analytics course (Excel, SQL, Power BI, Python) taught in person at INFONEXUS, Vijay Nagar, Indore.
Every business runs on numbers. Learn to clean them, question them and present what they say.
Last updated: 6 October 2026 · Reviewed by the INFONEXUS Data Analytics training team, Vijay Nagar
INFONEXUS IT & Designing Institute offers a hands-on Data Analytics Course in Indore (Vijay Nagar) covering Excel, statistics, SQL, Python, data cleaning and Power BI dashboards across 12 modules and 8 projects. Beginners are welcome. Call 8720006095 for batch timing and fees.
| Detail | Information |
|---|---|
| Course | Data Analytics Course |
| Institute | INFONEXUS IT & Designing Institute |
| Format | Offline, in-person |
| Curriculum | 12 modules |
| Projects | 8 real-world projects |
| Certificate | On completion |
| Location | Vijay Nagar, Indore 452010 |
| Contact | 8720006095 |
Six pillars of the Data Analytics course at INFONEXUS, Indore. See the full 12-module syllabus or the FAQs.
Formulas, lookups, pivot tables and charts that turn raw sheets into reports.
Averages, spread, distributions, correlation and hypothesis testing on real data.
Query databases with joins, grouping, subqueries and window functions.
Pandas and NumPy to clean, reshape and explore datasets at scale.
Data modelling, DAX measures and interactive dashboards for decision makers.
Choose the right chart and present insights a manager can act on.
No coding background needed. If you enjoy finding answers in numbers, you can start here. A laptop is recommended; confirm specs at counselling.
Build a practical, in-demand skill set alongside your degree.
Add data skills to your business and finance background.
Move beyond manual reports to SQL and Power BI automation.
Analyse trends, budgets and variances faster and more accurately.
Measure campaigns, funnels and customers with real numbers.
Start from zero. The track begins with fundamentals and builds up.
Twelve modules, each built on the last. Scroll to walk the track.
Formulas, formatting, sorting, filtering, charts and clean worksheet design.
Lookups, pivot tables, conditional logic, what-if analysis and dashboards.
Descriptive statistics, probability, distributions and hypothesis testing.
Schemas, SELECT, filtering, joins, GROUP BY and aggregations.
Subqueries, CTEs, window functions and query optimisation basics.
Missing values, duplicates, outliers, type errors and messy real-world files.
Python basics, NumPy and Pandas for loading, reshaping and summarising data.
Matplotlib and Seaborn: picking the right chart and styling it clearly.
Data modelling, DAX measures, interactive reports and publishing.
Structured EDA: distributions, relationships and early hypotheses.
Sales, marketing, finance and operations metrics and how to track them.
An end-to-end analysis presented as a report and dashboard.
The 12 modules are grouped into three phases so you always know where you are and what is next.
Spreadsheet mastery and the statistics that make analysis trustworthy.
Modules 01–03SQL, data cleaning and Python to work with data of any size.
Modules 04–07Charts, Power BI dashboards, KPIs and a portfolio capstone.
Modules 08–12Industry-standard tools used in real analyst jobs, practised on real datasets.
-- Monthly revenue by region
SELECT region, SUM(revenue) AS total
FROM sales
GROUP BY region
ORDER BY total DESC;Every lab uses realistic business data, so you practise the work analysts do every day.
Summarise a sales sheet with pivots, slicers and charts.
Answer business questions across multiple linked tables.
Fix duplicates, blanks and bad formats in a messy dataset.
Explore a dataset in Jupyter and document the findings.
Model data and build an interactive multi-page report.
Create growth, margin and conversion measures.
Test whether a difference in results is real or just noise.
Analyse a full dataset and present recommendations.
Every analysis follows the same five steps. The course teaches you each one, with real data.
Scattered files, databases and exports.
A combined, structured dataset.
Duplicates, blanks and wrong formats.
Reliable, analysis-ready data.
Rows and columns with no meaning yet.
Patterns, trends and comparisons.
Tables of numbers.
Clear charts and live dashboards.
Insights nobody has acted on.
Recommendations the business can use.
Eight end-to-end projects you can explain in an interview, because you built every step yourself.
Track revenue, targets and regions in one interactive report.
Power BI · ExcelGroup customers by recency, frequency and spend for targeted marketing.
SQL · PythonFind what drives employees to leave and which teams are at risk.
Pandas · SeabornMeasure where shoppers drop off between visit and purchase.
SQL · Power BIAutomate monthly spend reports with variance highlights.
Excel · Pivot TablesSpot slow-moving stock and plan reorders from sales data.
SQL · ExcelCompare channels on cost, conversions and return.
Python · Power BICapstone: a full analysis with dashboard and recommendations.
Capstone · StorytellingYou analyse real business-style datasets, not toy examples.
Starts with Excel and statistics, so no background is assumed.
Doubts are solved in class with the trainer, in a small Vijay Nagar batch.
Excel, SQL, Power BI and Python are the tools analyst roles ask for.
The skills map to several entry-level roles. Results depend on your effort and portfolio; placement is not guaranteed.
Short answer: data analytics explains past and present performance; data science builds models to predict the future. Analytics is the best starting point, and many learners move on to data science afterwards.
| Aspect | Data Analytics | Data Science |
|---|---|---|
| Focus | What happened and why | What will happen next |
| Main tools | Excel, SQL, Power BI | Python, ML libraries, statistics |
| Output | Reports and dashboards | Predictive models |
| Typical roles | Data Analyst, BI Analyst | Data Scientist, ML Engineer |
| Maths depth | Basic statistics | Advanced statistics and algebra |
A course completion certificate issued by INFONEXUS IT & Designing Institute after you finish the syllabus and projects.
has successfully completed the Data Analytics course covering Excel, statistics, SQL, Python, Power BI and project work.
Short answer: it depends on your batch and pace. Call 8720006095 or visit the Vijay Nagar centre for the current schedule.
Short answer: yes. The course starts with Excel and statistics fundamentals, so no prior analytics or coding experience is required.
Short answer: no. Basic comfort with numbers is enough. SQL and Python are taught from the basics, and statistics is taught as it is used in real analysis.
Short answer: Excel, SQL, Power BI and Python (Pandas, NumPy, Matplotlib and Seaborn), working in Jupyter notebooks.
Short answer: Data analytics explains what happened and why using data, reports and dashboards. Data science goes further into predictive machine learning models. Analytics is a strong first step into data science.
Short answer: yes. INFONEXUS issues a course completion certificate after you finish the syllabus and projects.
Short answer: Entry-level roles such as Data Analyst, Business Analyst, BI Analyst, MIS Executive and Reporting Analyst. Outcomes depend on your skills and effort; placement is not guaranteed.
Short answer: offline, in person. Classes are held at 110, 1st Floor, Shagun Tower, Vijay Nagar, Indore - 452010. For online batch availability call 8720006095.
Send your details and we reply on WhatsApp with batch timing and the full syllabus. Free counselling, no obligation.
Address110, 1st Floor, Shagun Tower,
Vijay Nagar, Indore – 452010, M.P.
Phone8720006095
WhatsAppChat with a mentor
Websiteinfonexusitinstitute.com