A simple, honest guide from the mentor team at Arivu Skills, Koramangala, Bengaluru.
If you have typed “data analytics classes near me” into Google and ended up with fifty tabs
open, this guide is for you. I have mentored students who came from BCom, BBA, engineering,
and even from jobs that had nothing to do with data. The questions they ask on day one are
always the same four: What will I actually learn? How long will it take? What does it cost? Will
I get a job? This guide answers all four in plain language, using the exact structure we follow in our data analytics training in Bangalore at Arivu Skills. No jargon. No inflated promises
Are you ready to build your career in Data Analytics ? Explore the Data Analytics Course in Bangalore at Arivu Skills.
What is data analytics, in one paragraph
Every business today collects numbers. Sales, website visits, delivery times, employee
attendance, customer complaints. Data analytics is the skill of taking those raw numbers,
cleaning them, finding the story hidden inside, and explaining that story to a manager in a way
that helps them make a decision. That is it. You are not building robots. You are answering
business questions with evidence instead of guesswork.
Why Bangalore is the right city to learn data analytic
Bangalore is where most of India’s analytics hiring happens. IT services, product startups,
fintech, e-commerce, healthcare, and the global capability centres of large multinationals are
all here, and almost every one of them runs a data team.
Three practical advantages of learning here:
1) Interview access. When a company shortlists you, the interview is a bus ride away, not
a flight.
2) Live projects and mentors. Trainers in Bangalore are usually working analysts, so
what you learn matches what teams are using this quarter.
3) Entry-level demand. Bangalore hires freshers and career-switchers in analytics roles
in far higher volume than most Indian cities.
At Arivu Skills we run this programme from our Koramangala campus, with batches also
available in Chennai and Coimbatore, and a live-online option if you cannot travel.
Who can join a data analytics course
You can start if you have:
- Any degree: BCom, BBA, BSc, BA, engineering, MBA, or a diploma
- Basic comfort with a computer and school-level maths
- Four to five hours a week for practice outside class
You do not need a coding background. In our batches, most students open Python for the very
first time in class. We start from “what is a variable” and build from there.
Typical people in our classroom
| Who they are | What they usually want |
| Final-year and recent graduates Working professionals (2 to 8 years) | A first job in analytics |
| Sales, HR and marketing executives | A switch out of support, operations, or accounting roles |
| Returning-to-work professionals | To move into an analyst role inside their own industry |
| A weekend-friendly path back into a career |
Data analytics course syllabus at Arivu Skills
Our syllabus is built around five tools that appear in almost every entry-level analyst job
description in India. You learn them in this order, because each one makes the next one easier.
Tool 1: Excel with AI Integration
Excel is still the first tool a manager will hand you on day one of a job.
- Module 1. Data management: cleaning data, removing duplicates, handling missing
values, freeze panes, filters, Excel tables and structured references - Module 2. Analysis and charting: PivotTables, pivot charts, slicers, timelines,
waterfall and funnel charts, conditional formatting - Module 3. Formulas: IF, AND, OR, VLOOKUP, INDEX, MATCH, XLOOKUP, SUM,
AVERAGE, COUNTIF, STDEV, CONCATENATE, DATE, NOW - Module 4. Data validation and what-if analysis: drop-down lists, named ranges,
data tables, Scenario Manager, Goal Seek - Module 5. Dashboards: consolidating data from multiple sources and building one
complete interactive dashboard as a project
Tool 2: Power BI
The reporting tool most Indian companies have standardised on.
- Module 1: Power BI Desktop, importing and transforming data, basic data modelling,
publishing to Power BI Service - Module 2: Power Query Editor, DAX measures and calculated columns, time
intelligence functions, optimising data models - Module 3: advanced visuals, interactive report design, slicers, filters, multi-page reports
- Module 4: publishing, sharing with stakeholders, scheduled refresh, workspaces and
security permissions - Module 5: integration with Excel, custom visuals, the Power BI API, and a full hands-on
case study
Tool 3: Tableau
- Module 1: Tableau Desktop and Server basics, connecting to Excel, CSV and databases,
bar charts, line graphs, scatter plots - Module 2: heatmaps, box plots, treemaps, data blending and joins, interactive
dashboards with actions and filters - Module 3: calculated fields, parameters, LOD expressions, forecasting, geographic
mapping, seasonality and trends - Module 4: data storytelling with story points and annotations, and presenting to non
technical stakeholders - Module 5: publishing workbooks, user permissions, comments, subscriptions and alerts
Tool 4 : SQL
- Module 1: DBMS, RDBMS, DDL, DML, DQL, DCL and TCL commands
- Module 2: data types, constraints, ALTER, DROP, rename and modify operations
- Module 3: wildcard filtering, UNION, DISTINCT, sorting, CAST, COALESCE, and
aggregate functions with GROUP BY and HAVING - Module 4: simple, natural, equi, non-equi and self joins, plus inner, left and outer joins
- Module 5: single-row, multiple-row and correlated subqueries, EXISTS and NOT
EXISTS, and combining subqueries with joins
Alongside the tools, every batch gets soft skills and communication training, because an analyst
who cannot explain a chart in a meeting will not be promoted.
Course duration and class timings
| Detail | What we offer |
| Duration | 100+ hours of training |
| Batch type | Weekend batch, Saturday and Sunday |
| Timing | 9:00 AM to 1:00 PM |
| Mode | Offline at campus, or live online |
| Recorded access | Six months of recorded classes after completion |
| Study material | E-study material included |
The weekend format exists for a reason. More than half of our learners are working full time or
in their final semester. Four hours on a Saturday and a Sunday is realistic. Two hours after a 9
to-6 workday, for six months, usually is not. How long does it really take to become job-ready? Around three to four months, if you attend classes and put in four to five hours of practice each week. Tool knowledge takes weeks. Confidence takes practice.
Placement support: what actually happens
1) This is the section most guides keep vague, so here is exactly what our placement process looks
like.
2) Placement training session. Job search strategy, interview preparation, and what
industry expects from a fresher analyst.
3) Resume building support. One-to-one help turning your projects and skills into a
resume a recruiter reads to the end.
4) Understanding your interest area. A personal discussion on preferred roles, domains
and career goals, so we are not sending a finance-minded student to a marketing
analytics interview.
5) Job application guidance. How to apply on your own across portals and networking
channels, which is a skill you keep for life.
6) Placement assistance and interview coordination. Our placement officer connects
eligible students to interview opportunities with hiring partners.
7) Every student in the programme also gets internship assurance, so you finish with real work
experience on your resume rather than only classroom projects.
Jobs and salaries after a data analytics course
Roles our students commonly target, and the kinds of companies hiring for them:
- Data Analyst — Google, Amazon, Deloitte, Accenture, Infosys
- Business Analyst — TCS, Cognizant, Capgemini, Wipro, EY
- Marketing Analyst — Flipkart, Swiggy, Meesho, Unilever, Tata Digital
- HR Analyst — IBM, KPMG, HCL, Genpact, Tech Mahindra
- Data Visualisation / Power BI Analyst — PwC, Reliance Industries, L&T, Siemens,
HSBC - SQL / Data Engineering Associate — Microsoft, Oracle, SAP, Accenture, JPMorgan
Chase
Notice how wide that list is. Analytics is one of the few skills that lets a commerce graduate
work in tech, a marketer work in finance, and an HR executive work with product teams.
Ready To Start ?
If you are searching for data analytics classes near me in Bengaluru, come and see a class
before you decide. Sit in, meet the trainers, ask them the checklist questions above, and then
choose.
- Phone: +91 88846 88847
- Email: skills@arivupro.com
- Website: www.arivuskills.com
- Bengaluru: 2nd Floor, SAI PREMA Christ Lane, No. 39 Krishnanagar, Hosur Main Road,
Industrial Area, Koramangala, Bengaluru, Karnataka 560029 - Chennai: 1st Floor, Ganga Griha, Nungambakkam, Near St. Teresa Church, Chennai,
Tamil Nadu 600034 - Coimbatore: 1st Floor, Mobax Networks, Vivekananda Road, Ram Nagar, Coimbatore,
Tamil Nadu 641009
