Data Science Course In Noida

Learn Live, Build Real Projects, Get Interview-Ready

Master Python, SQL, ML, and GenAI with Scaler's live, mentor-led Data Science Course. Learn from top industry experts, build real projects, and fast-track your career with dedicated placement support.

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Our Alumni Work At 1500+ Companies

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Noida's Emerging Tech Ecosystem

A snapshot of Noida's tech ecosystem and how it shapes demand (and pay) for Data Scientists.

₹51,000 Cr+

IT & Services Exports

Strong export revenues from Noida drive growth in the data and IT sectors.

2,956+

Active Tech Companies in Noida

Over 930+ companies in Noida are scaling their tech and data teams.

4.0 Lakh+

Tech Talent Pipeline

Noida's growing workforce feeds the demand for analytics and ML roles.

13,982+

Data Science Job Openings

Active data science and analytics openings across Noida's tech firms.

Data Scientist Salaries in Noida

Competitive compensation packages across experience levels

Entry Level (0-2 years)

₹4.5 - 7 LPA

Data Analyst, Junior Data Scientist

Mid Level (3-5 years)

₹7 - 17 LPA

Data Scientist, ML Engineer

Senior Level (6+ years)

₹17 - 23+ LPA

Data Scientist, ML Engineer

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A Step-by-Step Learning Journey

Structured curriculum designed to take you from basics to industry-ready expertise

Module 1

2 Months

SQL

Topics covered:

Intro to DB & BigQuery Setup, Data Extraction with SQL, Data Filtering with SQL, Conditional Logic & Aggregations, Applied SQL – Part 1, Grouping & Aggregations Contd., Working with Subqueries, CTEs & UNION Operations, Applied SQL – Part 2, Introduction to Joins, Advanced Joins, Applied SQL – Part 3, Introduction to Window Functions, Advanced Window Functions, Date & Time Functions in SQL, Applied SQL – Part 4, SQL Query Optimization Techniques, Intro to SQL commands & MySQL Setup, Advanced SQL Concepts, Final SQL Case Study & Revision

Module 1

2 Months

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SQL

Topics covered:

Module 2

1 Month

Tableau

Topics covered:

Intro to Data Visualization & Tableau, Basic Charts and Operations, Data Structuring options, Filters and Calculations, Level of Detail calculation, Table Calculation and Analytics, Operations on Dataset, Advanced Charts, Dashboard & Tableau Capstone Intro, Introduction to Gsheets Functions & Formulas, Lookup Functions & Dynamic Array Formulas, Pivot Tables, Statistical Functions and Macros, Dashboards & Gsheets Capstone Intro

Module 2

1 Month

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Tableau

Topics covered:

Module 3

1 Month

Beginner Python 1

Topics covered:

Data Types, Variables and I/O, Operators + Control Statements, Loops 1 - While and For, Loops 2 - Nested Loops, Functions Introduction, Lists, Strings, Sets and Tuples, Dictionaries

Module 3

1 Month

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Beginner Python 1

Topics covered:

Module 4

1 Month

Beginner Python 2

Topics covered:

Basics of Time & Space Complexity, Functional Programming 1 - Basics, Functional Programming 2 - Map, Filter, Reduce, Regex, OOPS 1 - Introduction, OOPS 2, Modules and Exception Handling, Project Class

Module 4

1 Month

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Beginner Python 2

Topics covered:

Module 1

2 Months

Advanced Python

Topics covered:

Python Refresher - 1, Python Refresher - 2, Basics of Time and Space Complexity, Adv Py:Problem Solving - 1, OOPS - 1, OOPS - 2, Functional Programming - 1, Functional Programming - 2, Adv Py:Problem Solving - 2, Exception Handling and Modules, File Handling, Adv Py:Problem Solving - 3

Module 1

2 Months

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Advanced Python

Topics covered:

Module 3

1 Month

Data Analytics and Visualisation - Fundamentals

Topics covered:

Intro to Hypothesis Testing, Z-test, Z - Proportion & T-test., Business Case: Aerofit Review, Walmart Launch, Paired T-test & Chisquared test, DAV 3 : PS Session 1, ANOVA, Advanced Hypothesis Testing, Correlation, Feature Engineering - 1, Business Case: Walmart Review, Yulu Launch, Feature Engineering - 2, DAV 3 : PS Session 2

Module 3

1 Month

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Data Analytics and Visualisation - Fundamentals

Topics covered:

Module 2

1 Month

Data Analytics and Visualisation - Python Libraries

Topics covered:

Numpy-1, Numpy-2, Numpy-3, Numpy- Lab, Pandas-1, Pandas-2, Pandas-3, Pandas-4, Pandas- Lab, Data Visualisation-1, Business Case: Netflix Intro, Data Visualisation-2, Data Visualisation-3

Module 2

1 Month

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Data Analytics and Visualisation - Python Libraries

Topics covered:

Module 4

1 Month

Product Analytics

Topics covered:

Product Strategy & Business Acumen, Product Metrics - 1, Product Metrics - 2, Root Cause Analysis - I (Myntra), Root Cause Analysis - II (Uber), CRM Analytics - RFM model, Customer Segmentation using SQL, A/B Testing & Launch Recommendation, Guess Estimate - 1, Guess Estimate - 2, Flight Overbooking + Airbnb Listings

Module 4

1 Month

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Product Analytics

Topics covered:

Module 1

2 Months

SQL

Topics covered:

Module 1

2 Months

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SQL

Topics covered:

Module 2

1 Month

Tableau

Topics covered:

Module 2

1 Month

Unlock

Tableau

Topics covered:

Module 3

1 Month

Beginner Python 1

Topics covered:

Data Types, Variables and I/O, Operators + Control Statements, Loops 1 - While and For, Loops 2 - Nested Loops, Functions Introduction, Lists, Strings, Sets and Tuples, Dictionaries

Module 3

1 Month

Unlock

Beginner Python 1

Topics covered:

Module 4

1 Month

Beginner Python 2

Topics covered:

Module 4

1 Month

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Beginner Python 2

Topics covered:

Real-World Projects Included

Build portfolio-worthy projects that demonstrate your expertise to employers

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

Gain hands-on experience with the most in-demand technologies

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Industry Expert Mentors

Get personalized guidance from industry veterans with proven track records

Harshit Tyagi

Founder

Full-stack data scientist and AI engineer empowering global learners.

Mohit Uniyal

Data Science - Contractor

ML engineer specializing in anomaly detection, ranking, and GenAI.

Ajay Shenoy

Lead - DSML

AI/ML educator with deep research and industry experience.

Anant Mittal

Director - Computer Science and AI

Builder at the intersection of AI, education, and human learning.

Mudit Goel

Senior Vice President and Business Head

Industrial-engineer turned analytics manager delivering supply-chain impact.

Prashant K Tiwari

Software Engineer

ML engineer focusing on risk modeling and practical ML workflows.

Sundaravaradhan

Analytics Manager - Supply Chain

Supply-chain analytics lead transforming operations with scalable data products.

Sameer Shah

Lead Data Science

Data engineer skilled in backend systems and analytics pipelines.

Shan Mehrotra

Lead Data Engineer

Data scientist with product analytics and experimentation expertise.

Amit Singh

Lead Instructor

Instructor with expertise in systems, analytics, and engineering basics.

Mohit Kukkarl

Sr. Scientist

ML engineer specializing in forecasting, detection, and marketplace ML.

Suransh Chopra

Applied Scientist II

Engineer experienced in financial systems and scalable data engineering.

Vishwath Parthasarathy

Staff Data Scientist - I

ML engineer experienced in ranking systems and large-scale data pipelines.

Suraaj Hasija

Data Science Manager

Data scientist experienced in analytics, experimentation, and ML workflows.

Thanish Batcha

Senior Data Scientist-Il

ML practitioner skilled in modeling, statistical learning, and DL.

Srikanth Varmaa

Senior Vice President DSML and AI

AI engineer-educator building data and ML skills globally.

Success Stories from Noida

Gain hands-on experience with the most in-demand technologies

Akshat

AI/ML Scientist @ MindShare

In just 2.5 months, Scaler helped me master DSML fundamentals and crack my first placement, thanks to expert mentors and a structured curriculum.

Adyashree Mahapatra

Senior Research Analyst @ Crisil

Scaler’s live classes, mock interviews, case studies, and mentorship strengthened my DSML foundations and boosted my confidence.

Avijit Swain

Senior Data Analyst @ Ganit

Scaler’s DSML program transformed my mindset, skills, and career vision helping me dream big and stay industry-relevant through practical learning.

Janardan Pandey

ML Engineer @ Camcom

With stellar instructors and a strong curriculum, Scaler helped me transition from a maths background to mastering ML and DL with confidence.

Nischay Sabharwal

Junior Data Scientist @ Adidas

Scaler built my foundational DSML skills and fueled my passion for data, helping me transition from mechanical design to data science successfully.

Rohit Kamra

Data Scientist @ Brillio

Scaler helped me build strong foundations in DSML, from statistics to Python and SQL. Consistent learning and curiosity now shape my growth at Brillio.

Faqs

Have more Questions?

Program

How long is the Data Science program and what is the learning format?

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.

Is prior coding experience required to begin this course?

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.

Do sessions take place live or are they recorded? What happens if I miss one?

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.

Which candidates usually join the Data Science program from Noida?

Typically, candidates from diverse backgrounds, including engineering, mathematics, and computer science, join the Data Science program from Noida, seeking to transition into this field.

Is this course designed for working professionals in Noida?

Working professionals in Noida can benefit from this course, as it offers a balanced curriculum that accommodates their schedules and enhances their data science skills.

Is it possible to enroll from Noida while targeting jobs in other tech hubs?

Enrollment from Noida is feasible, and the program's flexibility allows targeting jobs in other prominent tech hubs, including Delhi and Gurgaon.

Curriculum

Are projects relevant to Noida industries included in the curriculum?

The curriculum includes projects relevant to Noida industries, ensuring that learners gain practical experience and insights into the local job market.

What are the key modules covered in the high-level curriculum?

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).

Which types of projects align best with recruitment needs in Noida?

Projects that align with the recruitment needs in Noida often involve predictive modeling, data visualization, and machine learning, which are highly valued by local employers.

Is it possible to customize my capstone project for industries in Noida?

Customization of the capstone project is possible, allowing learners to focus on industries relevant to Noida, such as IT, manufacturing, or e-commerce.

Which data tools are most important to learn for roles in Noida?

To succeed in roles within Noida, focusing on tools like Python, R, Tableau, and Power BI is essential, as these are widely used in the industry.

Teaching

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Teaching Assistants

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Entrance Test

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Mentors

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Placement Support

What career support is included and what aspects are not guaranteed?

Placement support typically includes career guidance and interview preparation resources. It is support and assistance, not a job or salary guarantee.

Which types of firms recruit freshers for Data Science positions in Noida?

Freshers in Noida are often recruited by IT companies, consulting firms, and e-commerce businesses, which have a high demand for data science professionals.

How is placement assistance tailored for candidates targeting Noida?

Placement assistance is tailored to meet the specific needs of candidates targeting Noida, with a focus on resume building, interview preparation, and networking opportunities.

Which companies do candidates in Noida typically interview with?

Candidates from Noida typically interview with a range of companies, from startups to established corporations, including those in the IT and services sectors.

Tuition Fee

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Job & Career

What are the typical salary expectations for data science jobs in Noida?

Salary expectations for data science jobs in Noida vary based on experience and qualifications but generally range from 8 to 20 lakhs per annum, depending on the role and industry.

Which data roles are currently most in-demand in Noida?

Data roles currently in high demand in Noida include data scientist, business analyst, and data engineer, with a growing need for professionals skilled in machine learning and AI.

Which sectors in Noida are the top recruiters for data analytics?

The top recruiters for data analytics in Noida include sectors like IT, finance, and e-commerce, which have a high demand for data-driven insights and decision-making.

What is the typical structure of data science interviews in Noida?

The typical structure of data science interviews in Noida involves a combination of technical questions, case studies, and behavioral assessments to evaluate a candidate's skills and fit.

Which portfolio projects are most valued by recruiters in Noida?

Portfolio projects that demonstrate expertise in data analysis, modeling, and visualization are highly valued by recruiters in Noida, as they showcase a candidate's practical abilities.

How can I customize my resume for data science openings in Noida?

Customizing a resume for data science openings in Noida involves highlighting relevant skills, such as programming languages, data visualization tools, and machine learning algorithms.

Certification

Is the certification recognized by major companies in Noida?

The certification is recognized by major companies in Noida, as it demonstrates a learner's expertise and commitment to the field of data science, enhancing their employability.

What are the criteria to earn the certificate and what does it signify?

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.

Will this certification improve my application for data roles in Noida?

The certification signals structured training and hands-on analytics experience relevant to Noida's data roles. It complements portfolios focused on FinTech, pharma analytics, and enterprise domains.

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