Data Science Course in Bangalore
Our Alumni Work At 1500+ Companies
Bangalore’s Leading Tech Startup Ecosystem
A snapshot of Bengaluru's startup ecosystem and how it shapes demand (and pay) for Data Scientists.
₹4.09L Cr
32 unicorns
1M+
$5.38B+
Data Scientist Salaries in Bengaluru
Talk to our Advisor
- Personalised Career Roadmap
- Free Career Counselling
- Free Access to Scaler Events
A Step-by-Step Learning Journey
SQL
SQL
Tableau
Tableau
Beginner Python 1
Beginner Python 1
Beginner Python 2
Beginner Python 2
Advanced Python
Advanced Python
Data Analytics and Visualisation - Fundamentals
Data Analytics and Visualisation - Fundamentals
Data Analytics and Visualisation - Python Libraries
Data Analytics and Visualisation - Python Libraries
Product Analytics
Product Analytics
SQL
SQL
Tableau
Tableau
Beginner Python 1
Beginner Python 1
Beginner Python 2
Beginner Python 2
Real-World Projects Included
Sales Forecasting Engine
Use time-series forecasting to predict sales trends, helping businesses make data-driven planning decisions.
Insurance Premium Prediction
Build ML models to predict insurance premiums using exploratory analysis, statistical testing, and regression techniques.
Cybersecurity Threat Detection
Develop intelligent systems that detect evolving cyber threats through ML models and anomaly analysis.
AI Language Tutor
Create an interactive AI tutor using LLMs—build a Duolingo-like system that teaches languages through dynamic prompt-driven learning.
Master Industry-Standard Tools
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Industry Expert Mentors
Harshit Tyagi
Full-stack data scientist and AI engineer empowering global learners.
Mohit Uniyal
ML engineer specializing in anomaly detection, ranking, and GenAI.
Ajay Shenoy
AI/ML educator with deep research and industry experience.
Anant Mittal
Builder at the intersection of AI, education, and human learning.
Mudit Goel
Industrial-engineer turned analytics manager delivering supply-chain impact.
Prashant K Tiwari
ML engineer focusing on risk modeling and practical ML workflows.
Sundaravaradhan
Supply-chain analytics lead transforming operations with scalable data products.
Sameer Shah
Data engineer skilled in backend systems and analytics pipelines.
Shan Mehrotra
Data scientist with product analytics and experimentation expertise.
Amit Singh
Instructor with expertise in systems, analytics, and engineering basics.
Mohit Kukkarl
ML engineer specializing in forecasting, detection, and marketplace ML.
Suransh Chopra
Engineer experienced in financial systems and scalable data engineering.
Vishwath Parthasarathy
ML engineer experienced in ranking systems and large-scale data pipelines.
Suraaj Hasija
Data scientist experienced in analytics, experimentation, and ML workflows.
Thanish Batcha
ML practitioner skilled in modeling, statistical learning, and DL.
Srikanth Varmaa
AI engineer-educator building data and ML skills globally.
Success Stories from Bengaluru
In just 2.5 months, Scaler helped me master DSML fundamentals and crack my first placement, thanks to expert mentors and a structured curriculum.
Scaler’s DSML program transformed my mindset, skills, and career vision helping me dream big and stay industry-relevant through practical learning.
With stellar instructors and a strong curriculum, Scaler helped me transition from a maths background to mastering ML and DL with confidence.
Scaler built my foundational DSML skills and fueled my passion for data, helping me transition from mechanical design to data science successfully.
Scaler helped me build strong foundations in DSML, from statistics to Python and SQL. Consistent learning and curiosity now shape my growth at Brillio.
Scaler’s live classes, mock interviews, case studies, and mentorship strengthened my DSML foundations and boosted my confidence.
Have more Questions?
Program
Learners based in Bangalore often target opportunities across major tech hubs while leveraging experience in SaaS and product analytics. The role focus on Data Scientist and ML Engineer aligns well with hiring patterns seen across India’s startup ecosystem.
Yes, many Bangalore learners balance the program alongside roles in SaaS, fintech, or e-commerce companies. The structure suits professionals preparing for data roles that emphasize SQL, Python, and analytics interviews common in the city.
Learners from Bangalore commonly come from IT services, SaaS startups, and product companies, reflecting the city’s strong tech ecosystem. Many are aiming for roles like Data Analyst or Data Scientist that are in demand across Bengaluru’s startup and enterprise landscape.
Classes are conducted live online and are also recorded on the learning platform for revision. If you miss a session, you can watch the recording later and continue with the planned coursework.
A coding background is not required for the beginner pathway. You should be comfortable with basic school-level mathematics, and the course starts from foundational concepts.
The program is delivered online with a structured learning path, live interactive classes, assignments, and projects. The exact duration depends on the selected track/cohort as defined on the program page.
Curriculum
For Bangalore roles, early focus on SQL and Python is important due to data analyst and data scientist interview patterns. Statistics and ML concepts are also critical given the city’s demand for product-driven and ML-enabled teams.
Yes, many learners shape capstones around SaaS metrics, marketplace analytics, or fraud detection use cases. Such themes map well to Bangalore’s startup-heavy ecosystem and common data scientist roles.
Projects focused on product analytics, recommendation systems, and fintech risk modeling resonate well with Bangalore recruiters. These align closely with the city’s dominant SaaS, e-commerce, and fintech industries.
The curriculum typically progresses from foundational tools (SQL, Python, BI basics) to data analysis and visualization, statistics and probability, machine learning and deep learning fundamentals, and advanced topics such as specialization modules and MLOps (as applicable).
Teaching
Teaching Assistants
Entrance Test
Mentors
Placement Support
Candidates often interview with SaaS startups, fintech firms, and product-led tech companies based in Bangalore. These interviews typically reflect the city’s emphasis on analytics-driven and ML-enabled teams.
Placement support focuses on resume reviews and mock interviews aligned with Bangalore’s interview patterns, such as SQL, Python, and case discussions. Guidance is tailored toward data analyst and data scientist roles common in local industries.
Placement support typically includes career guidance and interview preparation resources. It is support and assistance, not a job or salary guarantee.
Tuition Fee
Job & Career
Highlight hands-on projects in product analytics or ML that align with SaaS and e-commerce use cases. Emphasizing SQL, Python, and applied statistics helps match common Bangalore interview expectations.
Recruiters value projects around product funnel analysis, recommendation engines, and financial risk modeling. These themes directly reflect Bangalore’s focus on SaaS products and fintech innovation.
Interviews often test SQL and Python fundamentals, followed by statistics and ML concepts. Case-based discussions and problem-solving aligned to product or business scenarios are also common in Bangalore.
The strongest demand comes from SaaS, fintech, and e-commerce sectors. Product analytics and machine learning use cases are common across these industries in Bangalore.
Bangalore frequently hires for Data Analyst, Data Scientist, and ML Engineer roles. These are especially prevalent across SaaS startups, fintech firms, and large technology companies.
Certification
The certification signals structured training and project exposure relevant to Bangalore’s data roles. It complements portfolios built around SaaS, fintech, and analytics-driven business problems.
You earn the certificate by completing the required modules, assignments, projects, and assessments as per the program criteria. It represents successful completion of a structured, hands-on learning pathway.
