100% Placement Course

Data Science Course
in Pune with Placement

Prime Point is Pune’s best Training Institute for Data Science Course for fresher students as well as working professionals conducting training and mentorship in the field of Data Science providing Placement Support, Live Industry Projects, Interview Preparation.
Master Python, Machine Learning, Deep Learning, Power BI and SQL — trained by industry experts.

Nasscom Accreditd, ISO Certified, In Association with IBM Certification

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Features

2791+

Students Trained

Features

100%

Placement Support

Features

875+

Hiring Partners

Features

29k+

Hours of Training

Best Data Science Course in Pune with 100% Placement Support

Trying hard to find a Data Science Training where you get Placement Assistance, Live Industry project Mentorship, Interview Preparation, ATS Friendly Resume sessions,  LinkedIn Optimization workshops, Study material, an internship certificate, and Flexibility in learning in one single course that too at affordable fees? Here we are Prime Point Pune will provide you with everything that too at an affordable fee structure! Yes yes, you heard it right all the features in one single course.

Prime Point has trained more than 2791+ Students in the field of data science since the commencement of the data science training program at Prime Point. Our Mentors have already provided more than 21000+ hours of cumulative mentorship and training during the live projects and course respectively. Our Course curriculum is completely updated and contains over 40+ training modules. These Modules will be taught by our industry expert trainers having cumulative experience of 22+ years in the Industry. Our Data Science Course in Pune is also accredited by NASSCOM and we are also ISO certified making us one of the Best IT training institutes for data science in Pune. We also have training courses in Artificial Intelligence and Data Analytics exploring data science jobs and pursue experiential-based learning through case studies for topics like latest tools and technologies decision trees and predictive analytics.

Features of Data Science Training in Pune

Prime Point is the best IT Training institute providing professional training with Placement Assistance. Our interview preparation makes it easy for all the candidates to effortlessly clear all the interview rounds. Prime Point Conduct LinkedIn Optimization Sessions, in the digital age, it is very important for all the candidates that their respective profiles reach the recruiter’s utmost priority. These sessions are conducted by the experts and boost the visibility of their LinkedIn profiles to recruiters. 

Then comes the ATS Friendly Resume sessions that have helped students of our previous batches of Data Science Classes in Pune with Career Guidance. ATS Friendly Resumes resulted in a clearance rate of 82% directly to interview rounds from resume rounds. Then comes the third step which is Mock Interview Preparation, where students are told about all the important do’s and don’t in an interview. Then the candidates appear in the mock interviews of Technical, managerial, and Human resource rounds in data science course in pune. Have look at some of the projects our experts shortlisted like Price Prediction for Doge, Flipkart Review Sentiments, Identification of Digits, IPL data Analysis, Heart Disease Detection, Survival Prediction, Scraping Data, Spam SMS Protection, Uber data Analysis. Here are these top 10 Data Science Projects Listed.

Features

NASSCOM Accredited

Features

100% Placement

Internship Letter

Features

ISO Certified 9001:2015

Live Project Mentorship

Mock Interviews

Online & Classroom Classes

ATS Resume Sessions

Linkedin Optimization

Data Science course syllabus updated 2026

Box Plot: Learn to identify outliers and visualize data spread.

Random Variable: Introduction to discrete and continuous variables.

Probability: Basics of probability, rules, and real-world applications.

Probability Distribution: Binomial, Poisson, and normal distributions explained.

Normal Distribution: Characteristics and importance in data analysis.

Standard Normal Distribution (SND): Z-scores and standard deviations.

Expected Value: Calculate the mean of probability distributions.

Sampling Funnel: Steps and stages of data sampling.

Sampling Variation: Effects of sample size and variability.

Central Limit Theorem: Importance in inferential statistics.

  1. Null and alternative hypotheses.
  2. Hypothesis Testing Techniques:
    • 2 proportion test
    • 2 sample t-test
  3. Anova and Chi-Square: Understand variance analysis and categorical data testing.
  1. Principles of Regression: Basics of regression analysis.
  2. Introduction to Simple Linear Regression: Regression line and equation.
  3. Multiple Linear Regression: Incorporating multiple predictors.
  4. Logistic Regression: Binary outcome predictions.
  1. Imputation Techniques: Mean, median, and advanced methods.
  2. Data Analysis and Visualization: Insights through graphs and plots.
  3. Scatter Diagram: Analyze relationships between variables.
  4. Correlation Analysis: Pearson and Spearman coefficients.
  5. Transformations: Log, square root, and box-cox transformations.
  6. Encoding Methods:
    • One-Hot Encoding (OHE)
    • Label Encoding
  7. Outlier Detection:
    • Isolation Forest
    • Predictive Power Score (PPS)
  1. Clustering Introduction: Fundamentals of grouping data.
  2. K-Means Clustering: Partitioning methods for clusters.
  3. Association Rules: Identify relationships between variables.
  4. Content-based and collaborative filtering.
  5. Basics of deploying ML models in Python.
  1. Basics of predictive modeling in ML DL.
  2. Explainable models for decision-making.
  3. Instance-based learning.
  4. Linear and non-linear classifiers.
  5. Feature Engineering:
    • Tree-based methods
    • Recursive Feature Elimination (RFE)
    • PCA
  6. Model Validation Methods:
    • Train-test split
    • Cross-validation
    • Shuffle CV
  7. Regularization:
    • Lasso Regression
    • Ridge Regression
  1. Artificial Neural Networks 
  2. Optimization Algorithms
  3. Back Propagation: Fundamentals of weight updates.
  1. Bagging and Random Forest: Ensemble learning techniques.
  2. Boosting:
    • XGBoost
    • LightGBM (LGBM)
  1. Introduction to Text Mining: Basics of textual data processing.
  2. Vector Space Model (VSM): Representing text data numerically.
  3. Introduction to Word Embeddings: Basics of word vectors.
  4. Word Clouds: Visualization techniques.
  5. Document Similarity: Using cosine similarity.
  6. Named Entity Recognition (NER): Extracting entities from text.
  7. Text Classification: Using Naive Bayes.
  8. Emotion Mining: Sentiment analysis techniques.
  1. Introduction to Time Series: Basics and components.
  2. Level, Trend, and Seasonality: Decomposing time series data.
  3. Lag Plot: Identifying relationships over time.
  4. Autocorrelation Function (ACF): Assessing dependencies.
  5. Principles of Visualization: Plotting techniques for time series.
  6. Forecasting Errors: Metrics for accuracy.
  7. Model-Based Approaches:
    • ARIMA
  1. Programming Cycle of Python
  2. Python IDEs: Jupyter Notebook and others.
  1. Introduction to Variables
  2. Data Types: Overview of Python data types.
  1. GitHub
  2. HackerRank
  3. CodeWars
  4. Sanfoundry
  1. Operators: Arithmetic and comparison.
  2. Decision Making with Loops:
    • While loop
    • For loop
    • Nested loops
  3. String Operations:
    • Escape characters
    • String formatting
  1. Lists: Indexing, slicing, and matrices.
  2. Tuples: Immutable sequences.
  3. Dictionaries: Key-value pairs and operations.
  1. Functions: Defining, calling, and recursion.
  2. Modules: Importing and managing modules.
  1. Files: Opening, reading, and writing.
  2. Directories: Managing folders.
  1. Error Types
  2. Try-Except Blocks
  1. Classes and Objects
  2. Inheritance
  3. Method Overloading
  1. Pattern Matching
  2. Modifiers
  1. SQLite and MySQL
  2. Database Connectivity
  1. Databases
  2. Introduction to RDBMS
  3. Different Types of RDBMS
  4. MySQL Workbench
  1. Data Definition Language
  2. Data Manipulation Language (DML)
  3. Data Query Language (DQL):
    Explore how the SELECT command is used to retrieve data from databases, along with various filtering techniques.
  4. Transactional Control Language
  5. Discover the role of GRANT and REVOKE commands in controlling user permissions and database security.
  1. SELECT and LIMIT:
    Learn to query data using SELECT and restrict results with the LIMIT clause for better performance.
  2. DISTINCT and WHERE:
    Filter unique records using DISTINCT and apply conditions with the WHERE clause for precise results.
  3. AND, OR, and IN Operators:
    Combine multiple conditions using logical operators like AND, OR, and IN to refine queries.
  4. NOT IN and BETWEEN:
    Exclude specific values using NOT IN and query data within a range using BETWEEN.
  5. EXIST, ISNULL, and IS NOT NULL:
    Use EXIST to check record existence and handle null values with ISNULL and IS NOT NULL.

Wildcards:
Master pattern matching in SQL queries using wildcards like % and _.

  1. Aggregate Functions
  2. String Functions
  3. Date & Time Functions
  1. NOT NULL and UNIQUE:
    Ensure data integrity by enforcing NOT NULL constraints and maintaining unique values with UNIQUE.
  2. CHECK and DEFAULT:
    Apply conditions to data with CHECK and assign default values using DEFAULT.
  3. ENUM:
    Limit values in a column to predefined options using ENUM.
  4. Primary Key and Foreign Key: Understand how primary keys uniquely identify rows, while foreign keys establish relationships between tables.
  1. Inner Join
  2. Left and Right Joins:
    Learn how LEFT JOIN and RIGHT JOIN include unmatched rows from one table.
  3. Cross and Full Outer Joins
  4. Self Joins: Understand how a table can join itself for advanced relational queries.
  1. Indexes:
    Learn how indexes improve query performance by optimizing data retrieval.
  2. Views:
    Create virtual tables with VIEW for simplified data representation and access control.
  3. Sub-queries:
    Master nested queries to perform complex data retrieval in a modular manner.
  4. Window Functions
  5. Stored Procedures and Exception Handling:
    Automate repetitive tasks with stored procedures and handle errors gracefully during execution.
  6. Loops and Cursors:
    Implement iterative processes and manage result sets dynamically using loops and cursors.
  7. Triggers
  1. NNs
  2. Importance of Deep Learning:
    Discussing the strengths of deep learning in handling vast data, non-linear relationships, and limitations such as overfitting and computational requirements.
  3. Neural Network Types
  4. Neural Network Representation
  5. Activation Functions
  6. Loss Functions:
    Understanding the role of loss functions in measuring model accuracy and guiding optimization.
  7. Gradient Descent: Overview of gradient descent algorithms and their role in minimizing loss functions.
  1. Train, Test & Validation Sets:
    Explanation of how datasets are split into training, testing, and validation for building and evaluating models.
  2. Vanishing & Exploding Gradients:
    Challenges with gradient propagation in deep networks and strategies to mitigate them.
  3. Dropout Regularization
  4. Overview of algorithms like Adam, SGD, and RMSProp for efficient model training.
  5. Learning Rate Tuning:
    The impact of learning rates on convergence and methods for fine-tuning.
  6. Softmax Function
  1. Introduction to CNNs:
    Understanding how CNNs are designed for image and spatial data processing.
  2. Deep Convolutional Models:
    Overview of advanced architectures like VGGNet, ResNet, and their use cases.
  3. Detection Algorithms:
    Exploring object detection algorithms such as YOLO and SSD.
  4. CNN for Face Recognition: Application of CNN in facial recognition systems and real-world implementations.
  1. Introduction to RNNs
  2. Challenges in RNNs:
    Issues like vanishing gradients in RNNs and techniques to address them.
  3. LSTM Networks
  4. How Bidirectional LSTMs improve model performance in sequential tasks.

Want to know more about our Data Science training courses & respective syllabus then download our brochure and explore more.

Course Details for Data Science Course in Pune

Training
0 k+
Course Fee
0 -70K
Instructors
0 +
Career Guidance
0 %

Online, Classroom & Hybrid Training Providing Flexibility

Online training at Prime Point for the Data Science Course never feels like you are watching a screen but it feels like a classroom at your home experience. In online training, the study material, teaching faculty, workshops, features, and everything remains very much unchanged. Even Students in online mode can attend Data Science practicals in offline mode and they also receive a set of recordings for the lectures through our Learning Management System, which is personalized according to the needs of the students in Online Training for Data Science Course in Pune with Placement Assistance. Get Practical Experience in our Data Science program and build your dream career step by step with us

Data science course in pune placement Online Offline Hybrid Mode Of Training

Students also get to attend Data Science classes in hybrid mode and can come to classes whenever they feel like it’s convenient for them. Students in hybrid mode also get recordings for the Data Science lectures if they miss any by chance. Features, live projects, and other sessions in hybrid training remain the same it is specially designed for working professionals, as they can attend Data Science training in classroom learning mode on weekends thus, the hybrid model provides candidates with flexibility in learning along with this they also get access to our LMS.
in Hybrid Training for Data Science classes in Pune with Placement Assistance.

Which Tools Are Covered in The Data Science Course in Pune

Python
Pandas
Matplotlib
Keras
Numpy
Seaborn
Matlab
apache spark
DB js
knime
rapidminer
nltk
Tenserflow
Scikit learn
Power Bi
Anaconda
R programming
Tableau
Upcoming Batches – Data Science Course in Pune | Prime Point Institute

Upcoming Data Science Batches in Pune

Choose a batch that fits your schedule — weekday, weekend, online, or classroom.

Seats fill fast. Batches are limited to 20 students for personalised mentorship. Call  8446273688  or enrol online to confirm your seat.

Launch Your Data Career
with Confidence

PrimePoint graduates step into high-growth roles across industries. Here's what you can expect when you complete our program.

📊
Data Scientist

Build predictive models, apply ML algorithms, and derive insights from complex datasets.

Fresher ₹3 – 8 LPA
Experienced ₹12 – 18 LPA
🔍
Data Analyst

Transform raw data into actionable insights using SQL, Python, and visualization tools.

Fresher ₹3 – 8 LPA
Experienced ₹12 – 18 LPA
🤖
ML Engineer

Design, deploy, and scale machine learning pipelines and production-ready AI systems.

Fresher ₹3 – 8 LPA
Experienced ₹12 – 18 LPA
📈
BI Analyst

Create dashboards and reports using Power BI & Tableau to drive business decisions.

Fresher ₹3 – 8 LPA
Experienced ₹12 – 18 LPA
🎓 100% Placement Assistance  |  Resume Reviews  |  Interview Prep
Sample certificate at Prime point

Best Data Science Course in Pune with Placement Assistance Professional Certification

Each Candidate will earn a professional certification recognized by 341+ companies around the globe.
Recognized by 289+ Top multinational companies around the globe, Enroll Now and Kickstart your career with us.
 
Earn this certificate and enter the world of Data Science with Prime Point’s Data Science Classes in Pune, the best IT training institute in Pune.
 

6+ Generative AI tools Covered!

Chatgpt
claude ai
Microsoft Co Pilot
Midjourney
Daal e
Leonardo AI

Why DATA SCIENCE IN 2025?

It’s October 2025, and data science feels more relevant than ever. Companies pull in tons of info each day think customer chats, purchase histories, or even traffic logs. All that adds up to big data, which can pile up fast if no one’s sorting it out. Data science steps in to change that. It shows you how to pick apart the details and spot what counts, so teams can shift from wild guesses to solid plans. Take a small shop in Pune: they might check sales numbers to figure out what items fly off shelves during festivals, cutting down on extra stock.

We at Prime Point Institute in Pune put together our data science course with folks like you in mind those switching careers or fresh out of college. We kick off with straightforward stuff, like scrubbing dirty data sets and pulling quick stats. From there, it’s onto visuals, like bar charts that track monthly changes without any fuss. We make sure to hit natural language processing nlp, where you learn to have computers chew through written stuff, say, scanning reviews to flag unhappy buyers. Handling big data gets its share too we walk through tricks to crunch massive files on regular laptops, no super setups needed.

On the job side, opportunities keep stacking up in 2025. Banks want data driven tweaks to spot loan risks early; hospitals use it to map out patient flows. You could land as a straight-up analyst, cranking out daily overviews, or push into scientist spots building what-if scenarios. Pune’s scene is hot with IT parks hiring steady. Pay kicks off decent, around what a solid entry role brings, and climbs quick with a year or two under your belt adter our enrolling in a data science training in pune city.

Get 100% Placement Support in course including live project which is covered in a data science training in Pune, That’s where our placement assistance fits we evolve your papers, run through tough questions, and nudge you toward openings at spots we link with. Most wrap up with a gig in hand soon enough. If this lines up with what you’re after, pause and mull it over for that informed decision. Explore more job opportunties and certification courses at Prime Point. Master Programming language like python programming and more.

Benefits of Data Science Classes in Pune

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Testimonials SATISFIED STUDENTS

Let’s hear from the students themselves what they say about Prime Point’s Data Science Course in Pune with Placement Assistance and what’s their experience during and after the Data Science classes in Pune.

Office Email

primepointinstitute@gmail.com
info@primepointinstitute.com

Office Phone

+91 8446273688

Office Address

Office No. 7, First Floor, Quantum Works Awfis Building, Near Nal Stop, Metro Station, Erandwane, Pune, Maharashtra - 411004

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Begin Your Learning Adventure

Prime Point is Pune’s best AI Training Institute, conducting AI Courses training and mentorship in the field of Data Science providing 100% placement support, Live Industry Project, Interview Preparation.

Prime Point is Pune’s best AI Course Institute, conducting AI Course in pune with Placement, Live Industry Project, Interview Preparation and job support modules for profile building and career support

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In the world, where data is the real power and everything is dependent on it, do you want to start your career in the field where you can control, manage, clean, sort and visualize the data. 

Try Prime Point’s AI institutes  Machine Learning Course In Pune with placement. And it also comes with bunch of other features that you are seeking that too inclusive course fee.

Prime Point is Pune’s best Training Institute, conducting training and mentorship in the field of Full Stack Python providing Career Guidance, Live Industry Project, Interview Preparation.

Data Science Course Fees in Pune

Our Data Science Course in Pune is offered at affordable fees to make quality education accessible to everyone. Choose the mode that best suits your learning style and schedule.

Online Training

₹30,000
  • Learn from Home
  • Live Interactive Sessions
  • LMS Access & Recordings
  • Live Projects
  • Placement Assistance
Enquire Now

Offline Training

₹40,000
  • Classroom Experience
  • Hands-on Practicals
  • LMS Access & Recordings
  • Live Projects
  • Placement Assistance
Enquire Now

FAQs Frequently Asked Questions

In 2026, most industries rely on data to make decisions—from banking and healthcare to e-commerce and IT. Companies are actively hiring professionals who can analyze data and turn it into useful insights.

Industry bodies like NASSCOM and firms like McKinsey & Company highlight steady growth in data-related roles. In India, freshers typically start around ₹4–8 LPA, with strong growth as experience increases.

With AI and automation expanding, data science has become a core skill. It’s no longer optional—it’s becoming essential for both technical and business careers.

Every major industry in Pune right now — IT, banking, retail, healthcare, manufacturing — is making data-driven decisions. That means companies need trained professionals who can turn numbers into business insights. Data Science gives you skills that are cross-industry, future-proof, and genuinely in demand.

A Data Science course teaches you how to collect, clean, analyze, and interpret large amounts of data to help businesses make smarter decisions. At Prime Point — Pune's leading Data Science, Data Analytics and AI Institute — you don't just learn theory. You work on real industry datasets, build predictive models, and graduate with a portfolio that actually gets you hired. Tools covered include Python, SQL, Power BI, Pandas, and Machine Learning — the same stack companies in Pune are actively hiring for right now.

This is one of the most common questions we get — and it's an important one. Data Analytics is about analyzing existing data to answer specific business questions. Think dashboards, Excel reports, SQL queries, and Power BI visualizations. Data Science goes a level deeper — you're building predictive models, training Machine Learning algorithms, and working with AI systems using Python. At Prime Point, we offer both as separate courses with clear career paths. Not sure which one fits your goal?
Book a free counselling session and we'll help you decide in 15 minutes.

Our curriculum covers the complete toolkit that Pune's top companies actually use — Python, SQL, Excel, Power BI, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and the fundamentals of Machine Learning and AI. You won't just learn what these tools are — you'll use them on live industry projects and case studies so you graduate with real hands-on experience, not just theoretical knowledge.

Along with this, problem-solving and communication matter a lot. In real projects, nearly 50% of the work is understanding the problem and explaining results, not just coding.

 
 

Python handles most tasks - cleaning, charts, predictions - appearing in nearly all hiring requirements. SQL accesses corporate databases, R surfaces occasionally for specialized statistical work.

Python got lucky with timing — then earned it.

The tooling got good just as demand for data work exploded. Around 2012–2015, it was the only language where you could pull data, clean it, model it, and hand it off to an engineer without switching contexts. R couldn't deploy. Julia was too young. MATLAB cost a fortune.

So everyone learned Python. Every new library got written in Python. Every new hire already knew it. Self-fulfilling prophecy at scale.

Is it the best tool? Depends on the job. But "best overall" beats "best at one thing" every time in practice because real work spans the whole pipeline.

 
 
 
 
 

Pune has several good options for data science training, but what really makes a difference is how much practical exposure you get. Institutes that focus on real-world projects, small batch learning, and industry tools like Python, SQL, and Power BI tend to prepare students better.

At Prime Point Institute, we follow a similar approach with strong emphasis on hands-on practice, guided projects, and interview preparation.
Many students prefer this kind of structured and practical learning when choosing the right institute.

 
 

Complete novices welcome - zero coding or advanced mathematics assumed. Repeated explanations using varied approaches until comprehension achieved.

Basic mathematics beneficial but reviewed regardless. Programming background accelerates learning though unnecessary - curiosity and frustration tolerance matter most.

Python fundamentals, pattern-revealing visualization, hypothesis testing, prediction model construction, complete real-world projects. Practical repetition trumps theoretical memorization.

Python for routine tasks, SQL for database access, Tableau for dashboards, scikit-learn for machine learning. Tools matching actual job postings.

New graduates seeking employment skills, accountants tired of spreadsheets, marketers desiring analytical depth, hardware engineers pivoting careers. Previous background is less important than learning commitment.

Financial institutions, medical facilities, retail chains, insurance providers, technology companies - all require data analysis avoiding revenue loss. Demand exceeds available talent currently.

Prime Point targets recent graduates through practical experience universities omit. Portfolio development demonstrates capabilities beyond academic transcript listings.

Initial compensation approximately 5 lakhs yearly varying by location and employer. Demonstrated impact over two years enables 6+ lakh earnings, potentially higher with niche expertise.

 You don't need an engineering degree or a coding background to get started. At Prime Point, we've successfully trained students from commerce, arts, BBA, MBA, and non-IT engineering backgrounds. If you're comfortable with basic logical thinking and genuinely want to build a career in data, we start from absolute fundamentals and take you to job-ready level. The only real requirement is consistency and willingness to practice.

 Our Data Science course duration is typically 6 months depending on the batch type like weekday, weekend, or fast-track. The duration includes live project work, mock interviews, and placement preparation not just classroom sessions. We don't rush you through concepts. Every module is taught with enough time to practice, apply, and ask questions before moving forward.

Absolutely. In fact, the majority of our students are freshers from engineering, commerce, or science backgrounds who had zero prior data experience. We've placed freshers at companies like TCS, Infosys, Wipro, and Pune-based analytics firms at starting packages of ₹5–10 LPA. The key is completing all projects and taking the placement preparation seriously — we handle the rest.

Our Data Science course fee ranges from ₹20,000 to ₹40,000 depending on the modules you choose. The fee covers everything, practical classes, study material, live industry projects, mock interviews, resume building sessions, LinkedIn optimization, and end-to-end placement support. There are no hidden charges. EMI options are also available, making it accessible for freshers and working professionals alike. Compare this to what you'd spend elsewhere with half the support. Prime Point gives you the most value per rupee in Pune.

 Yes — and the numbers back it up. Data Science is one of the fastest-growing fields in India right now. Companies in Pune across IT, finance, healthcare, and e-commerce are actively hiring trained Data Scientists and Analysts. Our placed students have moved from ₹0 income (freshers) to ₹5–10 LPA first jobs. The return on a ₹20,000–40,000 course investment, when you land a ₹6 LPA role, pays for itself in the first month of employment.

 Based on our placement data and current market trends in Pune, freshers with strong fundamentals and a good project portfolio typically land roles in the ₹4-7 LPA range. With 2–3 years of experience, Data Scientists in Pune commonly earn ₹12–20 LPA. Companies in Hinjewadi, Kharadi, and Magarpatta are among the highest payers. The more tools you're confident in and the stronger your projects, the better your starting package.

Pune has one of the most diverse hiring markets for data professionals in India. Our placed students work across IT services (TCS, Infosys, Wipro), banking and finance (HDFC, Bajaj Finserv), healthcare analytics, e-commerce, and manufacturing companies using data for supply chain optimization. Whether you want a corporate role in Hinjewadi or a fast-growth startup in Baner — the opportunities are real and growing.

Completing our Data Science course at Prime Point opens doors to multiple roles like Data Analyst, Data Scientist, Business Analyst, Machine Learning Engineer, BI Developer, Data Engineer (entry level), and AI Associate. The role you land depends on which modules you specialize in and your project portfolio. 

Pune is one of the best cities in India for a data career — and we say that based on where our students actually get placed. The IT corridors in Hinjewadi, Kharadi, Baner, and Magarpatta are packed with companies hiring Data Analysts and Data Scientists. Pune also has a lower cost of living compared to Bangalore or Mumbai, which means your starting salary goes further here. It's a smart city to build your first 2–3 years of experience.

Yes — and increasingly so. Pune's startup ecosystem and mid-sized analytics companies regularly offer internships to students with good fundamentals and project experience. At Prime Point, we guide you specifically on how to find, apply for, and perform well in data science internships. A strong internship can often convert into a full-time offer several of our students have followed exactly this path.

 Ask three questions before enrolling anywhere: Does the course include live industry projects or only theory? How experienced are the actual trainers — not just the institute's brand? What does post-course placement support actually look like? At Prime Point, every batch works on real datasets, our mentors have 15+ years of industry experience, and our placement team actively connects students with recruiters not just sends your resume into a void.

 For beginners, offline or hybrid learning at a physical institute gives you faster progress. You get immediate doubt resolution, peer learning, and the discipline of a structured schedule. At Prime Point, our Erandwane campus offers both classroom and hybrid batch options. Online-only works if you're already self-motivated and experienced — but for most freshers and career switchers, being in a classroom environment makes a significant difference in completion rate and learning quality.

Yes ,and we have real proof, not just reassurance. Students from commerce, arts, hospitality, and non-CS engineering backgrounds have successfully completed our course and landed Data Analyst roles. The first month is the most challenging, particularly getting comfortable with Python basics. After that, with regular practice and our structured guidance, the learning curve flattens significantly. The key is not your background it's your consistency.

Check five things: the syllabus depth (not just module names — ask what's actually taught inside each module), the trainers' real industry experience, whether live projects are included, what the placement support process looks like step by step, and whether you can attend a free demo before committing.
At Prime Point, we encourage every prospective student to attend a demo session first — we're confident you'll see the difference in how we teach.

 Yes — and we strongly recommend it. Our free demo session gives you a real feel for how we teach, the pace of the course, and whether it matches your learning style. No sales pitch, no pressure. Just a genuine class experience so you can make an informed decision. Most students who attend a demo enroll within the same week — not because we push them, but because they see the quality themselves.
Book your demo today at 8446273688.

Yes, live projects are central to how we teach, not an add-on. You'll work on real datasets from industries like retail, finance, and healthcare — building dashboards, predictive models, and analytical reports that you can directly show in interviews. By the time you finish, you won't just have a certificate — you'll have a project portfolio that proves your skills to any hiring manager.

Yes. We offer weekday morning, weekday evening, and weekend batches specifically designed for working professionals, college students, and anyone with a fixed schedule. You choose the timing that fits your routine — the course content and quality remain identical across all batch types.
Call us at 8446273688 to check current batch availability and start dates.

Three easy ways: Call or WhatsApp us directly at 8446273688, fill the enquiry form on our website and we'll call you back within a few hours, or walk into our campus at Office No. 7, First Floor, Quantum Works Awfis Building, Near Nal Stop Metro Station, Erandwane, Pune. We'll walk you through the syllabus, current batch schedule, fees, and EMI options in one free counselling session — no commitment needed. The next batch is filling up, so the sooner you connect, the better.

Data Science Job Openings in Pune

Accenture

Visualization Specialist - Data Engineering

Develop and implement a data strategy and architecture for improving the management, governance, and security of that information. Enable organizations to have a single source of truth for all data, helping them translate information into action to drive efficiency and competitive advantage. Read More..

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Visualization Specialist - Data Engineering

We are seeking a skilled QlikSense Developer to join our analytics team. The ideal candidate will have experience in developing and implementing data visualization solutions using QlikSense to support business decision-making. Read More..

tata

Senior Data Scientist

We are seeking a visionary and execution oriented Senior Manager to lead customer centric projects focused on AI powered and Autonomous Network Solutions, spanning wireless (4G/5G), wireline (fiber, broadband), and Fixed Wireless Access (FWA) domains. This role connects business strategy, technical innovation, and operational delivery, ensuring customer success through intelligent network transformation. Read More..

IBM

Data Engineer-Business Intelligence

In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Read More..

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Performance & Analytics Analyst

As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals and private wealth clients in major markets worldwide. Read More..