
Best Data Analytics Course in Bangalore- Launch Your Career in in 13 Weeks
Let me be honest with you — there are hundreds of institutes in Bangalore teaching “data analytics.” Most of them hand you slides, rush through tools, and call it training. We don’t do that at Scholar Logic. Here, you sit with working professionals who’ve spent 10+ years in the trenches — they teach you Excel, SQL, Python, Power BI, Tableau, and more by making you actually do the work. Real datasets. Real projects. Real interview prep. That’s why over 1,000 students trust us, and our Google rating sits at 4.9 out of 5.


Trusted by 1000+ learns and
hiring partners across India
500+ Students Trained
92% Placements Rate
4.9/5 Students Ratings
Which institute is best for data analytics in Bangalore?
If you ask around — talk to students who've actually completed training and landed jobs — Scholar Logic comes up again and again. And honestly, it's not hard to see why. The batches are tiny (10–15 people, that's it), so you're not sitting in a 200-person webinar hoping someone notices your question. The trainers have actually worked in analytics for 10+ years — they've built dashboards for real companies, written SQL queries that run in production, and cleaned messy datasets that would make most people quit. You learn Excel, SQL, Python, R, Power BI, Tableau, DAX, and SAS — not from slides, but by doing. There are 2–3 proper projects, a placement team that sticks with you until you get hired, and over 100 companies in their hiring network. Over 1,000 students have come through. The Google rating? 4.9 out of 5. That should tell you something.
Why This Data Analytics Training Actually Works
Your trainers aren't academics — they're working professionals who've spent a decade doing this stuff for real companies
You won't get lost in a crowd. Batches are capped at 10–15, which means your trainer actually knows your name
The curriculum isn't stuck in 2018. It's updated to match what Bangalore companies are hiring for right now
You'll use Power BI, Tableau, DAX, Excel, SQL, SAS, Python & R — all of them, not just one or two
There's a proper mentorship setup — 1-on-1 doubt clearing, practice sessions, and someone checking your progress
You walk out with 2–3 real projects in your portfolio. Not toy datasets — actual industry scenarios
Resume building, mock interviews, LinkedIn optimization — the placement team starts working with you from week one
Stuck at 11 PM on a problem? The trainers are on WhatsApp. Seriously. They reply.
Here's Exactly What You'll Learn (No Surprises)
We went through hundreds of job postings from Bangalore companies — Infosys, Wipro, startups on Koramangala, consulting firms in Whitefield — and built this curriculum around what they actually ask for. Every single topic here maps to a real interview question or a real workplace task.
- Getting comfortable — shortcuts, data entry, fill series, and formatting that doesn’t look like a mess
- Cell referencing (absolute, relative, mixed), SUM, SUMIF, COUNT, AVERAGE, MAX, MIN
- Logic that actually matters: IF, AND, OR, nested IFs, IFERROR — the stuff interviews love
- VLOOKUP, HLOOKUP, INDEX-MATCH, INDIRECT, OFFSET — yes, all of them
- Date functions, text functions, data validation with dependent dropdowns
- Cleaning dirty data: removing duplicates, sorting, filtering, advanced filter tricks
- Conditional formatting, every chart type you’ll need (bar, line, scatter, waterfall, pie)
- Pivot Tables & Charts — slicers, calculated fields, the works
- Building actual dashboards — layout, formatting, making it look professional
- Power Query: connecting to sources, cleaning, transforming, loading
- Power Pivot: merging tables, appending, building relationships between datasets
- Getting comfortable — shortcuts, data entry, fill series, and formatting that doesn’t look like a mess
- Cell referencing (absolute, relative, mixed), SUM, SUMIF, COUNT, AVERAGE, MAX, MIN
- Logic that actually matters: IF, AND, OR, nested IFs, IFERROR — the stuff interviews love
- VLOOKUP, HLOOKUP, INDEX-MATCH, INDIRECT, OFFSET — yes, all of them
- Date functions, text functions, data validation with dependent dropdowns
- Cleaning dirty data: removing duplicates, sorting, filtering, advanced filter tricks
- Conditional formatting, every chart type you’ll need (bar, line, scatter, waterfall, pie)
- Pivot Tables & Charts — slicers, calculated fields, the works
- Building actual dashboards — layout, formatting, making it look professional
- Power Query: connecting to sources, cleaning, transforming, loading
- Power Pivot: merging tables, appending, building relationships between datasets
- VBA & Macros — recording, editing, loops, even user forms if you want to go deep
- What Tableau is, why companies love it, desktop editions and which one to pick
- Data types, dimensions vs measures, aggregation, live connections vs extracts
- Charts that matter: bar, line, symbol maps, filled maps, text tables, highlight tables
- Filters — extract, data source, context, dimension, measure, quick filters
- Calculations: basic calcs, LOD expressions (this is where it gets powerful), table calcs
- Joins, relationships, blending, unions — connecting messy data sources
- Custom visuals: dual axis, donut charts, lollipop charts, KPI cards
- Groups, bins, hierarchies, sets, parameters — organizing your analysis
- Analytics pane: reference lines, trend lines, forecasting
- Dashboard design: tiled vs floating, filter actions, highlight actions, URL actions
- Getting started: installation, interface walkthrough, understanding the ecosystem
- Every visualization type you’ll need, loading data from Excel, CSV, databases, web
- Maps, scatter plots with play axis — the visuals that make stakeholders sit up
- AI visuals: analysis charts, Q&A chatbot, decomposition tree — yes, Power BI has AI built in
- Column charts, line charts, conditional formatting, custom formatting tricks
- Power Query Editor: loading, cleaning, splitting, appending, merging — data prep done right
- Data modelling: relationships, cardinality, cross-filter direction — the foundation of good reports
Filters, trend analysis, forecasting, what-if parameters - Tooltips, drill-down, drill-through, bookmarks, page navigation buttons
DAX deep dive: calculated columns, measures, time intelligence, rolling averages, YoY comparisons
The Tools Bangalore Companies Actually Hire For
We didn’t guess what to teach. We looked at real job postings — from Deloitte, Accenture, TCS, startups in HSR Layout, product companies in Indiranagar — and built training around the exact tools hiring managers search for on resumes.
Everyone thinks they know Excel. Then they sit in an interview and get asked about Power Query or INDEX-MATCH and freeze. We take you from basics all the way to VBA — properly.
This shows up in 95% of data analyst job descriptions. Not exaggerating. You’ll write queries, joins, subqueries, window functions — the stuff that actually gets tested.
Pandas, NumPy, Matplotlib for Python. R for statistical computing. Together, they let you automate boring work and do analysis that Excel simply can’t handle.
Banking, healthcare, pharma — these industries still run on SAS. Having it on your resume opens doors that Python alone doesn’t. It’s a smart add to your toolkit.
Microsoft’s BI tool is everywhere in enterprise. You’ll build real dashboards, write DAX measures, use AI visuals, and publish to Power BI Service. Not just click-along demos.
Startups and consulting firms in Bangalore swear by Tableau. You’ll learn LOD expressions, custom charts, interactive dashboards — the things that get you noticed in interviews.
Data Analysis Expressions for Power BI. Calculated columns, measures, time intelligence, rolling averages. Sounds technical? It is. But our trainers break it down until it clicks.
Knowing which chart to pick, how to structure a dashboard, how to present findings to a room full of non-technical people without boring them to tears — that’s a skill. We teach it.
Still Thinking About It?
Look, I get it. It’s a big decision. But here’s the thing — every week you wait is a week someone else is learning these skills and applying for the jobs you want. Over 1,000 students have already made the move. The question isn’t whether data analytics is worth learning. It’s whether you want to start now or wish you had started sooner.
Data Analytics Certificate Course In Bangalore
Industry-Recognized Certification:
After completing this program, you will receive a well-respected Data Analytics Certificate that is valued across the tech and business industries. This certification highlights your analytical skills, practical project experience.
Strong Certification Credibility:
Our Data Analytics Certification carries genuine weight in the job market. It showcases your commitment to learning, the hands-on training you’ve undergone, and the practical knowledge you’ve built throughout the course.
Global Acceptance:
The Data Analytics Certificate you earn from us is recognized by companies not just in India, but internationally as well. This gives you the flexibility to explore opportunities in diverse industries.
High Market Demand:
Data Analytics professionals are in extremely high demand, and the skills you gain in this program align with what companies are actively hiring for.
Boosts Career Growth:
Students who complete this certification often see faster career growth, whether they are starting their career or switching fields.
Why Scholar Logic?
Compare us with other training institutes in Bommanahalli
Program Highlights
Top-Notch Faculty
Trainers at Scholarlogic are passionate about training, and carry 10+ years of industry experience.
Exhaustive Course Curriculum
Our industry-relevant course curriculum is tailored to provide practical exposure with the theory.
Real-life Projects and Bootcamps
Learners will work on real-life data analytics scenarios from various domains to get application knowledge.
Job Readiness Program
Intensive interview preparation from Day 1 to prepare candidates for interviews with our network of 2000+ hiring partners.
Skills Covered
Tools & Technologies Covered
Who Should Do The Data Analyst Course
Learning Path
Why ScholarLogic?
Experienced Faculty
Work Hands-on with 2+ Real Life Projects
Dedicated Placement cell for 100% Placement Assistance
Dedicated Case studies support team
24/7 Trainer Whatsapp Support
Lifetime eLearning access
Contact Our Team of Experts






From Learning to Earning Real Students Journey
What Our Students Have To Say about Us

ScholarLogic’s DevOps training provided clear insights into pipelines. The real-time tasks and mentor guidance quickly built my confidence and prepared me for the job.
Narayana Swamy
Student
The Python course was straightforward, practical, and well-organized. The hands-on exercises enhanced my coding skills and effectively prepared me for interviews.
David S
Student
AWS sessions were productive and focused on real projects. The trainer explained cloud concepts clearly, making complex topics easy to understand.
Dipen Bhangale
Student
Data analytics training covered SQL, Power BI, and Excel using real datasets. I gained confidence through practice labs and received strong placement support.
Harshith Vasanth
Student
The Java course effectively covered both basic and advanced concepts. Real-world examples and project guidance enabled me to master coding and approach interviews with confidence.
Rohit Gurjar
Student
The Front-End Development course at ScholarLogic was outstanding. The curriculum was up-to-date with the latest technologies, and the trainers made learning enjoyable. The projects were challenging but rewarding and the placement support was very effective.
Jidnyesh Sachin Patil
Student
ScholarLogic’s DevOps course provided an excellent foundation for my career. The trainers were experts in the field, and the course content was up-to-date and relevant. The placement support was effective, and I was able to secure a job shortly after completing the course.
Golu Tekade
Student
Scholarlogic is best for learning it field and teaching was excellent and I have learned Devops and this institute helpful for students ,it is overall good experience for me, the way of teaching and solving doubts and guiding me was good😊
Veeresh
Student
The way of teaching is so good for me the teaching is so clean and neat easily understood. They help me clear all my doubts anyway it is a good experience in my life Like
Brijesh
Student
I recently completed a course at ScholarLogic Training Institute, and I must say, it exceeded all my expectations. From start to finish, the experience was nothing short of exceptional.
Dayanand
Student
"Fantastic coaching classes! Great instructors, and personalized attention. Highly recommend!" Thank you Scholarlogic
Shrivathsa M
Student
I have completed my cloud computing course recently I had good experience in scholar logic and the trainers are very friendly.
Pandurang Hundekar
StudentFAQs
What are the prerequisities for this python course?
- As such, there is no prerequisite for undertaking this training. However, it is highly desirable if you possess the following skills sets
- Analytical expertise
- Good critical thinking and problem-solving skills
- Communication Skills
What Are The Career Opportunities For Data Analyst Professionals?
- Data Analyst has become the spine around which crucial company decisions are made. Organisations are paying top dollars to recruit Data Analyst professionals and the demand is only going to increase with the influx of data from new sources. The career roles that you can cherry pick are
- Data Analyst
- Research Analyst
- PMO
- Business Analyst Consultant / Manager
- Data Analyst In Various Domains/ Functions eg: Banking, Health Care, Retail, Telecom, e-Commerce, Marketing, Sales, HR & Finance.
What Kind Of Salary Can I Expect As A Data Analyst Professional?
- Just as the saying goes – You reap what you sow, your experience plays an important factor in determining the package that you will be offered
- Entry Level – 3.5 to 4.5 Lakhs PA
- Intermediate Level – 4.5 to 8.5 Lakhs PA
- Experienced Level – 10 to 16 Lakhs PA
- Advanced Level – 17 to 25 Lakhs PA
I am from one of the departments of Sales/Marketing/Diploma/HR/Finance. Is Data Analyst Course Suitable for me ?
- The companies in the above domains are generating huge amounts of data which requires a specialist to analyse and generate insights from this data & that requires some amount of functional knowledge from the above departments. For eg: Data from Sales Dept can be analysed efficiently by a data analyst who has sound knowledge on sales.
I am A Fresher/ Recently Graduated. Is Data Analyst Course Suitable for me ?
- Data Analyst helps a Data Scientist in the execution of Data Science Projects by extracting data from SQL and cleaning the data using various tools, before it can be passed onto a Data Scientist. When the data analyst gets promoted they become Data Scientists.
So, Data Scientists would build the machine learning algorithms using Python. Ultimately, the data that has been received from Data Analysts.
Data Analyst and Data Scientist jobs are of the stream, but the level of difficulty and skillset would vary as stated above. But both the roles have a great upskilling value in today’s job market.
What is the difference between Data Scientist & Data Analyst ?
- Instructor-led online training is an interactive mode of training where participants and trainer will log in at the same time and live sessions will be done virtually. These sessions will provide scope for active interaction between you and the trainer.
What Is Instructor-Led Online Training?
- It is a live instructor-led interactive session which is done at a specific time where participants and trainer will log in at the same time. The same session will be also recorded and access will be provided to revise, recap or watch any missed session.
How Many Batches Can I Attend, If Enrolled For Training?
- ScholarLogic offers a blended model of learning. In this model participants, can attend classroom, instructor-led live online and e-learning (recorded sessions) with a single enrolment. A combination of these 3 will produce a synergistic impact on the learning. One can attend multiple Instructor-led live online sessions for one year from different trainers at no additional cost.
Is This A Live Training Or Recorded Sessions?
- The training is a live instructor-led interactive session done at a specific time where participants and trainer will log in at the same time. The same session will be also recorded and access will be provided to revise, recap or watch a missed session.
Whom Should I Contact If I Want to Know More Information About The Training?
You can reach out to us by visiting our website https://scholarlogic.net/ and interact with our live chat support team. Our customer service representatives will assist you with all your queries. You can also send us an email at info@scholarlogic.net with your query and our Subject Matter Experts / Sales Team will clarify your queries or call us on 7892393639
What If I Miss A Live Session?
- Not a problem even if you miss a live Data Science session for some reason. Every session will be recorded and access will be given to all the videos on ScholarLogic state-of-the-art Learning Management System (LMS). You can watch the recorded Data Science sessions at your own pace and convenience.
Will I Get A Data Analyst Course Completion Certification From ScholarLogic?
- Yes, after successfully completing the course you will be awarded a course completion certificate from ScholarLogic.
What Are The Different Modes Of Payment Available?
The different payment methods accepted by us are
- Cash
- Net Banking
- Cheque
- Debit Card
- Credit Card