SoftPro9 runs Business Analytics training as live online batches in UK time, for learners in the City, Canary Wharf, Shoreditch and across London.
Last updated: 28 October 2026
Financial services, retail and consultancies in London hire business analysts for change programmes, product and strategy work. 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.
Every tool below is used hands-on in class or in a project, not just mentioned on a slide.
A market-entry analysis recommending which region to expand into, with a forecast
A customer segmentation and retention plan for a subscription business
A pricing and margin dashboard in Power BI with what-if parameters
A business requirements document (BRD) and process map for a reporting system
London project: A business case for moving a UK retailer's customer service to digital channels, 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 | Business Analytics (all levels) | Live online | Up to 15 |
| Mon, 2 Nov 2026 | Business Analytics (all levels) | Live online | Up to 15 |
| Thu, 5 Nov 2026 | Business Analytics (all levels) | Live online | Up to 15 |
| Mon, 9 Nov 2026 | Business Analytics (all levels) | Live online | Up to 15 |
Message us with the start date and slot you want, and we will confirm your seat.
Business analytics uses data to make better business decisions: which market to enter, how to price a product, where to cut costs, which customers to keep. It sits between the business and the data team. A business analyst frames the problem, finds and analyses the right data, and turns the answer into a recommendation managers can act on.
Compared with a pure data analytics course, this one spends more time on the business side: KPIs and frameworks, forecasting and what-if scenarios, requirement gathering and documentation, and presenting a recommendation. You still learn the tools hands-on (Excel, SQL, Power BI, Tableau and a little Python), but always in service of a decision.
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 |
|---|---|---|
| MBA / BBA / commerce graduate | Full course | Business sense is the core skill here |
| Working manager or team lead | Weekend track | Learn to commission and challenge analysis, not just read it |
| Data analyst | Forecasting and business-analysis modules | Move from building reports to making recommendations |
| Engineer moving to business roles | Full course | Add business framing to your analytical skills |
| Wants to build ML models | Data Science course | That course goes much deeper into machine learning |
Common pairings: Business Analytics + Data Analytics (for deeper SQL and BI skills), Business Analytics + SAP FICO or MM (for ERP-focused business analyst roles), and Business Analytics + Data Science (to add predictive modelling). Learn one course well before adding a second.
Master the business and data foundations before moving on.
Build and publish your projects, including the London capstone.
Apply for entry roles such as business analyst or business intelligence 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.
Relevant optional certifications include the IIBA Entry Certificate in Business Analysis (ECBA) and Certification of Capability in Business Analysis (CCBA) for business-analysis practice, and Microsoft PL-300 for Power BI. They are paid directly to IIBA or Microsoft and are not part of our fee; the course covers the relevant knowledge areas. SoftPro9 issues a course completion certificate.
A 2026 syllabus: look for Google Sheets, Looker Studio, Jira, Confluence, 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 Business Analytics course page: /course/business-analytics-courses. It covers live classes, the practice environment, projects and interview preparation. Any IIBA or Microsoft PL-300 exam is optional, not included, and paid directly to the exam provider.
They overlap. Business analytics is about using data for decisions; a business analyst role also includes gathering requirements and documenting processes. This course covers both.
Very little. Excel, SQL and Power BI do most of the work; Python is introduced only for forecasting and automation.
Yes. It is designed to complement an MBA with hands-on tools and real case studies.
Business analyst, BI analyst, strategy or product analyst, and operations analyst roles. Freshers often start as junior or associate analysts.
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 Business 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.
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