SoftPro9 runs Data Analytics with Excel, SQL, Power BI, Tableau & Python training from our classroom on KR Road, Boloor, Kodialbail, with the same batches streamed live online for learners in Manipal, Udupi and Surathkal.
Last updated: 28 October 2026
Port, logistics and banking operations in Mangaluru generate the kind of operational data that Power BI and SQL analysts work with daily. The course is split into three levels. You can join at the level that matches your experience after a short assessment at counselling.
Mangalore practice: Port and shipping data such as vessel calls and cargo tonnage.
Mangalore practice: Tulu, Kannada and Konkani text in multilingual exercises.
Mangalore practice: UPI and payment-gateway flows tested in sandbox mode.
Freshers usually start in junior or support versions of these roles.
Data Analytics with Excel, SQL, Power BI, Tableau & Python – full course details and fee →
Every tool below is used hands-on in class or in a project, not just mentioned on a slide.
A sales performance dashboard in Power BI with DAX measures and row-level security
A Tableau story analysing customer cohorts and retention
A SQL case study answering ten real business questions, written up for a manager
A Python script that turns a monthly Excel dump into a formatted report automatically
Mangalore project: A cargo-throughput dashboard comparing commodities and months at a port, using data and conventions from Mangalore.
New batches start every Monday and Thursday, with no more than 15 learners in each. Weekday class slots in IST: 7 AM / 7:30 PM / 9 PM. Weekend slots: 10:30 AM / 10:30 PM.
Learners in the city attend the Kodialbail classroom on weekday evenings; students from Manipal and Surathkal usually join weekend batches online or in person, with recordings for any class missed for college lab work.
| Start date | Course | Mode | Batch size |
|---|---|---|---|
| Thu, 29 Oct 2026 | Data Analytics (all levels) | Classroom + live online | Up to 15 |
| Mon, 2 Nov 2026 | Data Analytics (all levels) | Classroom + live online | Up to 15 |
| Thu, 5 Nov 2026 | Data Analytics (all levels) | Classroom + live online | Up to 15 |
| Mon, 9 Nov 2026 | Data Analytics (all levels) | Classroom + live online | Up to 15 |
Message us with the start date and slot you want, and we will confirm your seat.
Data analytics turns raw business data into answers people can act on: which products are slowing, where costs are leaking, how a campaign performed. Analysts pull data with SQL, clean and model it, build dashboards in Power BI or Tableau, and explain the findings to managers.
Almost every company has data and too few people who can read it, which is why analyst roles exist in every industry, not just tech. You do not need a coding background: the course starts with Excel and builds up to SQL, Power BI with DAX, Tableau and Python for automation.
The three fields share tools and are often confused in job titles. The simplest way to tell them apart is by the question each one answers.
| Aspect | Data Analytics | Business Analytics | Data Science |
|---|---|---|---|
| Main question | What happened, and why? | What should the business do? | What will happen, and can we automate the decision? |
| Focus | Cleaning data, reporting, dashboards | Turning analysis into business decisions and plans | Predictive models, machine learning and AI |
| Core tools | Excel, SQL, Power BI, Tableau | Excel, SQL, Power BI, forecasting, BRDs and process maps | Python, statistics, scikit-learn, PyTorch, MLOps |
| Maths needed | Basic statistics | Business statistics and forecasting | Statistics, linear algebra and probability |
| Coding | Low (SQL, some Python) | Low (SQL, light Python) | High (Python every day) |
| Typical output | Dashboards and reports | Recommendations, business cases, requirement documents | Models, predictions and AI features |
| Typical first roles | Data analyst, MIS analyst, Power BI developer | Business analyst, BI analyst, strategy analyst | Junior data scientist, ML engineer |
| Best starting point for | Anyone new to data, any degree | MBA, BBA and commerce graduates, managers | Engineering, maths and statistics graduates, developers |
| Course length here | 14–16 weeks | 14–16 weeks | 24–28 weeks |
Which should you choose? If you are new to data, start with Data Analytics: it is the foundation the other two build on. Choose Business Analytics if you enjoy the business side and want to influence decisions. Choose Data Science if you like programming and maths and want to build predictive models.
Mangaluru combines a dense cluster of engineering, medical and management colleges with a port economy, a banking heritage and a strong link to Gulf employers. Graduates here often choose between Bangalore, the Gulf and the growing local IT parks, and the skills in this course travel to all three.
IT parks and software firms
Port, refinery and logistics
Banking and finance
Gulf employers
Generic courses use generic datasets, and interviewers notice. Our exercises include:
| Your background | Start with | Why |
|---|---|---|
| Commerce / BBA / MBA graduate | Full course | Business sense plus SQL and Power BI is the analyst profile |
| MIS / Excel-heavy role | SQL, Power BI, then Python | Move from manual reports to automated dashboards |
| Engineering graduate | Full course, Python early | Your logic transfers; add business framing |
| Career returner | Excel and Power BI first | Quickest route to a portfolio you can show |
| Planning to move into ML | Data Analytics, then Data Science | SQL and statistics are the base ML builds on |
Common pairings: Data Analytics + Python (for automation-heavy analyst roles), Data Analytics + Data Science (to move into prediction), and Data Analytics + SAP FICO or MM (for ERP reporting roles). Learn one course well before adding a second.
Master the excel and analytical thinking before moving on.
Build and publish your projects, including the Mangalore capstone.
Apply for entry roles such as data analyst or business / bi analyst with employers like the it parks and software firms above.
Honest note: freshers usually start in junior or trainee roles, and salaries in Mangalore vary too widely for a headline figure. Ask us which openings we are seeing.
The most recognised analyst exams are Microsoft PL-300 (Power BI Data Analyst Associate) and Tableau Certified Data Analyst. Both are optional and paid directly to Microsoft or Tableau, not part of our fee; our Power BI and Tableau modules cover their skills outlines and include practice questions. SoftPro9 issues a course completion certificate.
A 2026 syllabus: look for Seaborn, Jupyter, Looker Studio, Google Analytics 4, not only the basics.
Projects on your own accounts, a trainer you can meet first, and a published fee with nothing hidden.
No "global certification" or "100% placement" claims: vendors run their own exams, and nobody can promise a job.
Classroom at Kodialbail
Live, with recordings and reviews
Interview preparation
| Area | Approx. distance from Kodialbail | Most learners choose |
|---|---|---|
| Kodialbail, Boloor, Lalbagh | 0–2 km | Classroom |
| Hampankatta, Kadri, Bejai | 2–4 km | Classroom |
| Urwa, Kottara, Kankanady | 3–5 km | Classroom or hybrid |
| Surathkal | About 15 km | Hybrid or weekend classroom |
| Moodbidri, Puttur | 35–55 km | Online, weekend classroom for labs |
| Manipal, Udupi | 55–65 km | Online, timed around college hours |
Distances are approximate road distances from our Kodialbail centre. Every batch is also recorded, so you can catch up after exams or late lab sessions.
SoftPro9 IT Services – Mangalore
406, 3rd Floor, KR Road, Boloor, Kodialbail, Mangaluru, Karnataka – 575003
Phone: +91 95354 51414
Email: mglr@softpro9.com
We are on the 3rd floor at 406, KR Road in Boloor, Kodialbail, a short ride from Lalbagh and Hampankatta. City buses along KR Road and Kodialbail stop close by.
Monday–Friday 9:30 AM–7:30 PM · Saturday 9:30 AM–3:30 PM · Sunday closed
The current training fee is listed on the Data Analytics with Excel, SQL, Power BI, Tableau & Python course page: /course/data-analytics-course. It covers live classes, the practice environment, projects and interview preparation. Any Microsoft PL-300 or Tableau exam is optional, not included, and paid directly to the exam provider.
No. You start with Excel, then learn SQL, which reads close to English. Python comes last and is used for automation, not complex programming.
We teach both. Power BI is more common in companies that run on Microsoft 365; Tableau appears in many consulting and product teams. Knowing both widens your options.
No. The Microsoft PL-300 exam is optional and paid directly to Microsoft. Our course prepares you for it.
Data analyst, BI analyst, Power BI developer, MIS analyst and reporting roles. Freshers usually start in reporting or operations analytics and move up with experience.
Yes. Our Mangalore centre is at 406, 3rd Floor, KR Road, Boloor, Kodialbail. Classroom and hybrid batches run there, and the same batches are streamed live online.
Yes. Most join live online, with weekend and early-evening slots timed around college hours, and every class is recorded for revision.
The skills are the same worldwide. We also include Gulf-style datasets and help you tailor your resume, but we do not arrange visas or guarantee jobs.
New Data Analytics batches start every Monday and Thursday. See the batch table on this page for the next dates and IST class slots.
No. We provide interview preparation, resume help and referrals to openings we hear about in Mangalore, but no institute can honestly guarantee a job.
Tell us your degree, your current job (if any) and where in Mangalore you are. We will suggest a track and a batch that fits.
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