Data Science Course In Nashik

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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Nashik's Rising Tech Ecosystem

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

₹100 Cr - ₹1,000 Cr

IT & Services Exports
Strong export revenues from Nashik drive growth in the data and IT sectors.

90+

Active Tech Companies in Nashik
Over 84+ companies in Nashik are scaling their tech and data teams.

9,784+

Tech Talent Pipeline
Nashik's growing workforce feeds the demand for analytics and ML roles.

576+

Data Science Job Openings
Active data science and analytics openings across Nashik's tech firms.

Data Scientist Salaries in Nashik

Competitive compensation packages across experience levels
Experience Level
Salary Range
Typical Roles
Entry Level (0-2 years)
₹3 - 5 LPA
Data Analyst, Junior Data Scientist
Mid Level (3-5 years)
₹5 - 10 LPA
Data Scientist, ML Engineer
Senior Level (6+ years)
₹10 - 15+ 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

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

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

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

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

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

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

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

Product Analytics

Topics covered:
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

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

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

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

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
Ex

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

Mohit Uniyal

Data Science - Contractor
Ex

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

Ajay Shenoy

Lead - DSML
Ex

AI/ML educator with deep research and industry experience.

Anant Mittal

Director - Computer Science and AI
Ex

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

Mudit Goel

Senior Vice President and Business Head
Ex

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

Prashant K Tiwari

Software Engineer
Ex

ML engineer focusing on risk modeling and practical ML workflows.

Sundaravaradhan

Analytics Manager - Supply Chain
Ex

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

Sameer Shah

Lead Data Science
Ex

Data engineer skilled in backend systems and analytics pipelines.

Shan Mehrotra

Lead Data Engineer
Ex

Data scientist with product analytics and experimentation expertise.

Amit Singh

Lead Instructor
Ex

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

Mohit Kukkarl

Sr. Scientist
Ex

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

Suransh Chopra

Applied Scientist II
Ex

Engineer experienced in financial systems and scalable data engineering.

Vishwath Parthasarathy

Staff Data Scientist - I
Ex

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

Suraaj Hasija

Data Science Manager
Ex

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

Thanish Batcha

Senior Data Scientist-Il
Ex

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

Srikanth Varmaa

Senior Vice President DSML and AI
Ex

AI engineer-educator building data and ML skills globally.

Success Stories from Nashik

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 Nashik?

Typically, candidates from diverse backgrounds, including engineering, mathematics, and computer science, join the Data Science program from Nashik, seeking to enhance their career prospects.

Is this course designed for working professionals in Nashik?

This course is indeed designed with working professionals in mind, including those in Nashik, providing them the flexibility to balance work and study.

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

Enrollment from Nashik is feasible, with many students targeting jobs in other prominent tech hubs, and with the right training, they can compete effectively.

Curriculum

Are projects relevant to Nashik industries included in the curriculum?

The curriculum includes projects relevant to Nashik industries, ensuring that students gain practical experience that can be applied to real-world problems in their local context.

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 Nashik?

Projects that align with the recruitment needs in Nashik, such as predictive modeling for supply chain optimization or data-driven decision making for local businesses, are highly regarded.

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

Customization of the capstone project to fit industries in Nashik, such as manufacturing or agriculture, is not only possible but also encouraged to ensure relevance and applicability.

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

For roles in Nashik, proficiency in tools like Python, R, Tableau, and Power BI is highly valued, given their widespread application in data analysis and visualization.

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 Nashik?

Freshers for Data Science positions in Nashik are often recruited by firms across different sectors, including IT, consulting, and manufacturing, which value their fresh perspectives and skill sets.

How is placement assistance tailored for candidates targeting Nashik?

Placement assistance is tailored to meet the specific needs of candidates targeting Nashik, including resume building, interview preparation, and networking opportunities.

Which companies do candidates in Nashik typically interview with?

Candidates in Nashik often interview with a variety of companies, ranging from startups to established firms in sectors like technology, healthcare, and finance.

Tuition Fee

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Job & Career

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

Salary expectations for data science jobs in Nashik can vary based on experience, specific role, and industry, but generally, they are competitive with other major cities, considering the cost of living and local market conditions.

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

Data roles currently most in-demand in Nashik include data analyst, business intelligence developer, and data scientist, reflecting the growing need for data analysis and interpretation across industries.

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

Sectors in Nashik that are among the top recruiters for data analytics include healthcare, finance, and e-commerce, which increasingly rely on data-driven insights for decision making.

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

The typical structure of data science interviews in Nashik involves a combination of technical questions, case studies, and behavioral interviews to assess both skills and fit.

Which portfolio projects are most valued by recruiters in Nashik?

Portfolio projects that demonstrate practical problem-solving skills, such as analyzing and visualizing data for a local business or predicting outcomes for a community issue, are highly valued by recruiters in Nashik.

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

To customize your resume for data science openings in Nashik, focus on highlighting relevant technical skills, project experiences, and any knowledge of local industry trends.

Certification

Is the certification recognized by major companies in Nashik?

The certification is recognized by major companies in Nashik, enhancing the credibility and employability of graduates in the local job market.

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 Nashik?

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