Data Science Course in Delhi
Our Alumni Work At 1500+ Companies
Delhi’s Rising Tech Startup Ecosystem
A snapshot of Delhi's startup ecosystem and how it shapes demand (and pay) for Data Scientists.
₹51K Cr
13 unicorns
1.5M
$2.39B+
Data Scientist Salaries in Delhi
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 Delhi
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 live classes, mock interviews, case studies, and mentorship strengthened my DSML foundations and boosted my confidence.
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.
Have more Questions?
Program
Delhi-based learners often target opportunities across NCR, including Gurugram and Noida, while building experience in analytics-heavy roles. The focus on Data Analyst and Data Scientist roles aligns well with hiring patterns across consulting firms and large enterprises in the region.
Yes, many learners from Delhi NCR balance the program alongside roles in consulting, fintech, or enterprise analytics teams. The structure supports preparation for data roles that emphasize SQL, Excel, and business-driven analytics interviews common in the region.
Learners from Delhi often come from consulting, BFSI, government-adjacent organizations, and large enterprises. Many aim for roles like Data Analyst or Business Analyst that are common across Delhi’s consulting-led and policy-influenced job market.
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 Delhi roles, strong command over SQL and Excel is especially important, followed by Python for analysis. Business interpretation and statistics matter due to interview patterns common in consulting and enterprise analytics roles.
Yes, learners often design capstones around fintech analytics, public policy datasets, or enterprise reporting use cases. Such themes map well to Delhi’s consulting ecosystem and demand for analytics that supports decision-making.
Projects centered on business analytics, financial analysis, and policy-driven data insights resonate well with Delhi recruiters. These align with the city’s strong presence of consulting firms, BFSI organizations, and public-sector analytics needs.
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 consulting firms, BFSI organizations, telecom companies, and large enterprises based in Delhi NCR. These interviews typically reflect the region’s strong focus on business-driven analytics.
Placement support focuses on resume reviews and mock interviews aligned with Delhi’s interview patterns, such as case discussions and SQL-based problem-solving. Guidance is tailored toward analyst roles common in consulting and enterprise settings.
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 projects that show business impact, stakeholder insights, and clear problem framing. Emphasizing SQL, Excel, and applied analytics helps align with common Delhi interview expectations.
Recruiters value projects involving financial analysis, policy impact assessment, or operational dashboards. These reflect Delhi’s emphasis on consulting-style analytics and enterprise reporting.
Interviews often focus on SQL, Excel, and analytical problem-solving, followed by case-based or scenario discussions. Business context and clarity of insights are heavily emphasized in Delhi interviews.
Consulting, BFSI, telecom, and public-sector-linked organizations drive much of the analytics hiring. These industries rely heavily on reporting, insights, and data-backed decision-making.
Delhi commonly hires for Data Analyst, Business Analyst, and Data Scientist roles. These positions are widespread across consulting firms, BFSI organizations, and large corporates.
Certification
The certification signals structured training and hands-on analytics experience relevant to Delhi’s data roles. It complements portfolios focused on consulting, BFSI, and enterprise analytics use cases.
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.
