Data Analytics Training in Amritsar
Data Analytics & Business Intelligence — our Data Analytics course in Amritsar, 16 Weeks.
Transform raw data into actionable business intelligence. Master statistical analysis, machine learning integration, advanced visualization, and production-grade BI dashboards using Python and industry-leading tools.
Course Overview
Data analytics is about turning raw data into decisions. Not fancy algorithms. Decisions. We start with Python and SQL because every analyst needs both. Pandas for data wrangling, SQL for pulling data from databases, and the kind of data cleaning that nobody teaches but takes 80% of your time. Real CSVs with encoding errors. Missing values that are not NaN but empty strings. Dates stored as integers.
Statistics is the backbone. You will understand distributions, hypothesis testing, confidence intervals, and A/B testing. Not as formulas to memorize but as tools you use to answer business questions. Is this campaign actually working? Is this metric significantly different from last month? You will know how to answer that with data, not gut feeling.
Visualization is where analysis meets communication. Matplotlib for quick charts, Seaborn for statistical plots, Plotly for interactive dashboards. You will learn to choose the right chart for your data, design dashboards that executives actually understand, and tell stories with data that drive decisions. Then we add machine learning basics: regression, classification, clustering. Enough to build predictive models, not so much that you lose focus on the analytics core.
The final stretch is business intelligence and production. Power BI and Tableau for executive dashboards. SQL window functions and CTEs for complex analytics queries. Airflow for scheduled pipelines. And a capstone project that goes from raw data to a live, automated dashboard. Sixteen weeks, and you can walk into any analytics role and deliver value from day one.
Curriculum Blueprint
Weekly module breakdown covering data wrangling, statistics, machine learning, and business intelligence.
- Python for analytics: NumPy arrays, vectorization, broadcasting, and why loops are 10x slower
- Pandas fundamentals: Series, DataFrame, loc vs iloc, filtering, and basic data exploration
- Data loading: CSV, Excel, JSON, SQL, and handling files with encoding issues and bad rows
- Pandas deep dive: MultiIndex, groupby internals, merge strategies, and why your join produces duplicates
- Data cleaning: missing values (drop, impute, interpolate), duplicates, type conversion, and string normalization
- Feature engineering: binning, encoding, scaling (MinMax, Standard, Robust), and datetime feature extraction
- EDA workflow: describe(), value_counts(), correlation matrices, and asking the right questions before modeling
- Outlier detection: IQR, Z-score, isolation forest, and deciding if outliers are errors or signal
- Data quality: profiling, validation with Great Expectations, and building a data quality checklist
- SQL for analytics: SELECT, JOIN, GROUP BY, HAVING, subqueries, and writing queries that do not time out
- Advanced SQL: window functions (ROW_NUMBER, RANK, LAG, LEAD), CTEs, and query optimization
- Connecting Python to databases: SQLAlchemy, pd.read_sql, and writing results back to the database
Tools Covered
Prerequisites
- Fundamental understanding of mathematical logic or basic statistics
- Basic exposure to Python syntax or any programming language
- Comfortable working with spreadsheets (Excel/Google Sheets)
- Absolute commitment to master core underlying software engineering over syntax rules
Lab Access
- Cloud sandbox environment
- Real production server access
- Local AI model playground
- 24/7 Git repository access
Quick Inquiry
Interested? Drop your details and we will reach out.
Common Questions
The things people ask us on the phone before they enrol — answered the same way we would answer them there.
There is no separate price for it. WebPrims charges one fee — ₹4,500 / month — and it covers any course in the catalogue, so the Data Analytics course works out at about 4 months — around ₹18,000 in total. No admission fee, no registration fee, and the certificate is included.
Monday to Saturday, with batches starting at 11:00 AM, 1:00 PM, 3:00 PM and 5:00 PM. Each slot runs up to two hours — sometimes a session finishes early, never late. That works out at roughly 192 hours of class time across the 16 Weeks. Pick whichever time fits around college or work, and move to another later if your timetable changes; it is the same Data Analytics syllabus in each. We are closed on Sunday.
16 Weeks of taught material, which is about 4 months of Data Analytics classes. That is the pace of the syllabus; how long you actually take depends on how often you turn up, and nobody is pushed to keep up with the batch.
No. Python and SQL are both taught from scratch, and no statistics background is assumed.
An end-to-end capstone: messy real data cleaned with Python and SQL, then a Power BI dashboard that answers a question somebody would actually ask.
Until the file gets big, or the same report is needed every Monday, or the data lives in a database. Excel is where analytics starts and SQL is where it goes. If you already know Excel well, you will move through the first weeks quickly.
Yes. Book a free demo class and sit in a real Data Analytics session — one that was running anyway, not a presentation arranged for you. Write some code on one of our machines, ask the students already in it what it is like, and decide afterwards. Nothing to pay and no obligation.
Something here not answered? Ask us directly or book a free demo class and put it to the Data Analytics mentor in person.
Weighing this up against something similar? Data Science or Data Analytics? Courses in Amritsar sets them side by side and says which suits whom.