SoftPro9 runs Data Analytics with Excel, SQL, Power BI, Tableau & Python training as live online batches in UK time, for learners in the City, Canary Wharf, Shoreditch and across London.
Last updated: 28 October 2026
Finance, retail and consulting firms in London hire SQL, Power BI and Tableau analysts. The course is split into three levels. You can join at the level that matches your experience after a short assessment at counselling.
London practice: UK GDPR and consent practice in web and data exercises.
London practice: Accessibility to WCAG 2.2 AA, as UK public-sector sites require.
London practice: UK date formats, postcodes and the April–April tax year.
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
London project: A retail sales dashboard comparing UK regions and seasons, using data and conventions from London.
New batches start every Monday and Thursday, with no more than 15 learners in each. Weekday class slots in UK time: 8 AM / 3:30 PM / 6 PM. Weekend slots: 10 AM / 5 PM. Times shown are for winter; they move one hour when clocks change.
The early-morning and evening UK-time slots fit around a standard working day.
| Start date | Course | Mode | Batch size |
|---|---|---|---|
| Thu, 29 Oct 2026 | Data Analytics (all levels) | Live online | Up to 15 |
| Mon, 2 Nov 2026 | Data Analytics (all levels) | Live online | Up to 15 |
| Thu, 5 Nov 2026 | Data Analytics (all levels) | Live online | Up to 15 |
| Mon, 9 Nov 2026 | Data Analytics (all levels) | 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.
London is Europe's largest financial centre and one of its biggest technology hubs: banks and insurers in the City and Canary Wharf, fintech and startups around Shoreditch and King's Cross, and public-sector digital teams. Employers value clean, tested code, accessibility and a clear explanation of your work.
Banking, insurance and fintech
Technology and startups
Public sector digital
Retail, media and consulting
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 London capstone.
Apply for entry roles such as data analyst or business / bi analyst with employers like the banking, insurance and fintech above.
Honest note: freshers usually start in junior or trainee roles, and salaries in London 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.
Taught from Bangalore
Live, with recordings and reviews
Interview preparation
| Area | Where | Most learners choose |
|---|---|---|
| The City, Canary Wharf | Central / east | Live online, evening slots |
| Shoreditch, King's Cross, Camden | Central / north | Live online |
| Croydon, Wimbledon, Richmond | South / west | Live online, weekend batches |
| Stratford, Ilford, Harrow, Wembley | Outer London | Live online |
London batches are live online in UK time (times shift with GMT/BST); there is no classroom in London.
London batches are live online. They are run from our Bangalore centre, which you are welcome to visit if you are ever in the city.
SoftPro9 IT Services – Bangalore
22/1, Opp Infosys, BHBCS Layout, BTM Layout 2nd Stage, BTM Layout, Bengaluru, Karnataka – 560076
Phone: +91 95354 51414
We are in BTM Layout 2nd Stage, opposite the Infosys office. The nearest metro is Jayadeva Hospital station, about a 10-minute walk away, and BMTC buses on the Outer Ring Road and Bannerghatta Road stop nearby.
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.
No. London learners join live online batches in UK time, with recordings and a 15-learner cap.
No. It is a private professional course and not eligible for UK student finance.
New Data Analytics batches start every Monday and Thursday. See the batch table on this page for the next dates and UK time class slots.
No. We provide interview preparation, resume help and referrals to openings we hear about in London, but no institute can honestly guarantee a job.
Tell us your degree, your current job (if any) and where in London you are. We will suggest a track and a batch that fits.
We use cookies to measure visits and our ads on Google, Meta (Facebook, Instagram) and LinkedIn. No analytics or ad cookies are set, and nothing is sent to Meta or LinkedIn, unless you accept. Privacy Policy