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PG Course in Data Science, ML & Neural Networks in Pune in collaboration with

Aligned to Competency Standards developed by SSC NASSCOM In Collaboration with Industry and approved by Government of India

Data Science Course Pune with Placement Guarantee

In Curriculum

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Be an industry ready certified Data Science professional with our exclusive Data Science Course Pune by immersive learning of Data Analysis with ML models, Visualization, Forecasting & predicting Models, NLP, Deep Learning & more with a 100% placement guarantee Program in Pune.

In Collaboration With
  • NASSCOM
    in
    Pune
  • nasscom data science course pune

1 Mar, 2024

Next Batch
starts on

12 Months

Recommended
20-22 hrs/week

6 Months

Live
Internship

Online

Learning
Format

6000+

Career
Transformed

950+

Hiring
Partners

Course Description

Data Science Course in Pune

DataTrained offers the Best Data Science Course in Pune and across India where you get hands-on training on all relevant and in-demand tools, learn 14+ programming tools & languages, techniques, Data Mining, Data Collection, Data Extraction, Data Cleansing, Data Exploration, fundamentals viz., (calculations, data sets, manipulation), statistical concepts (mean, median, mode, standard deviation and skewness) along with real-world scenarios applied for data analysis using graphs/charts. Apart from that, this course also builds programming skills including code solutions, algorithms and flowcharts/pseudocode.., and technologies from this Data Science Course in Pune with Placement. Also with the most affordable Data Science Course in Pune fees structure. DataTrained is regarded as the best Data Science training institute in Pune which offers services from training to placement guarantee. DataTrained imparts the Best Data Science Course in Pune with placement guarantee. Enroll Now, to start your career with this Data Science Course in Pune with placement guarantee.

Key Highlights

  • 6 Months of rigorous Internship - data science course pune6 Months of rigorous Internship
  • One-on-One interaction with Industry Mentors - data science course puneOne-on-One interaction with Industry Mentors
  • 100% Placement guarantee - data science course pune100% Placement guarantee
  • 40+ Live Projects along with Case Studies - data science course pune40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager - data science course puneDedicated Career Program Manager
  • 360 Degree Career Guidance - data science course pune360 Degree Career Guidance
  • Ideal for both Fresh Graduates - data science course puneIdeal for both Fresh Graduates & Working Professionals
  • Unique Specializations to choose from - data science course puneUnique Specializations to choose from
  • Prompt Query Resolution - data science course punePrompt Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 160000
    • Learners - data science course pune
    • Learners - data science course pune
    • Learners - data science course pune
    • Learners - data science course pune
    8500+ learners
Features
  • 300+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • 5 Domain Specializations

12 Months PG Program in Data Science, Machine Learning & Neural Networks in collaboration with

Get eligible for 4 world-class certifications thus adding that extra edge to your resume.

  • Course completion certificate from NASSCOM
  • Project Completion Certificate from DataTrained Education
  • Course completion certificate from DataTrained Education
  • Internship Certificate from Partner Companies

Languages and Tools covered.

  • Excel - data science course pune
  • Python - data science course pune
  • Tableau - data science course pune
  • NLP - data science course pune
  • SQL server - data science course pune

What's the focus of the Data Science course Pune with placement guarantee?

Select from five Unique specializations, learn 14+ programming tools & languages, Live case studies and projects, six months of live internship, get mentorship from the industry experts, dedicated career support, and much more with the best data science course Pune. The focus is also on offering most affordable data science course Pune fee structure.

5 Unique Specializations - data science course pune

5 Unique Specializations

Get a chance to select from 5 unique specializations as per your career aspirations & academic background. Get an Executive Certification In Data Science, ML & Neural Networks In Collaboration With in Pune.

Dedicated Career Assistance - data science course pune

Dedicated Career Assistance

Get 1:1 career counseling sessions from industry experts & exhaustive mock interviews with talent acquisition managers. Boost career with our 950+ hiring partners from several industry domains.

Student Support - data science course pune

Students Support

Chat support is open from 06 AM - 11 PM IST for instant Query Resolution. Program Managers are available on call and chat, and you could also use our user-friendly ticket raising system on LMS during company hours.

Instructors

Join DataTrained – Certified curriculum and learn every skill from the industry’s best thought leaders.

Dr. Deepika Sharma - Training Head, DataTrained

Dr. Deepika Sharma

Training Head, DataTrained

Dr. Deepika Sharma has been associated with academics /corporate education for more than 14 years. She has a deep passion in the field of Artificial Intelligence, Data Science, and Machine Learning.

Shankargouda Tegginmani - Data Scientist, Accenture

Shankargouda Tegginmani

Data Scientist, Accenture

Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.

Andrew Labeodan - Data Scientist, Centrica

Andrew Labeodan

Data Scientist, Centrica

Andrew is a data Scientist with 14 years of experience. His expertise spans healthcare and Energy Utilities, and he's renowned for successfully implementing data analytics in oncology.

Adedolapo Ogunlade - Data Scientist at Kaggle

Adedolapo Ogunlade

Data Scientist at Kaggle

Adedolapo is a seasoned Data Scientist at Kaggle, specializing in Machine Learning, Statistical Analysis, Data Visualization, and Data Science.

Gifty Aiyegbeni - Data Scientist at Bincom Global

Gifty Aiyegbeni

Data Scientist at Bincom Global

Gifty is a dedicated data scientist and analyst passionate, currently working in Bincom Global. She is experienced in python programming, R programming, and SQL queries while offering knowledge in statistical analysis.

Ioannis Petridis - Data Scientist at KLDiscovery

Ioannis Petridis

Data Scientist at KLDiscovery

Ioannis Petridis is Data Scientist with 9+ years of experience, currently working in KLDiscovery. He has a deep passion in apply lean Data Science and Machine Learning solutions to solve business problems and deliver impactful and innovative products.

Data Science Course Syllabus

Best-in-class content by leading faculty and industry leaders in the form of live sessions, pre-recorded videos, projects, case studies, industry webinars, and assignments.

best data science courses online

Detailed Syllabus of Data Science Course

  • 300+ Hours of Content - data science program institute
  • 300+

    Hours of Content

  • 80+ Live Sessions - data science online training
  • 80+

    Live Sessions

  • 15 Tools and Software - best tools for data science
  • 15

    Tools and Software

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.

300+ Hours of Content - data science program institute
300+

Hours of Content

80+ Live Sessions - data science online training
80+

Live Sessions

15 Tools and Software - best tools for data science
15

Tools and Software

Set the Basics Right

DataTrained's orientation prepares students to use the platform by introducing the Learning Management System, accessing course material, attending live classes and assessments, connecting with mentors and receiving career coach support. A preparatory session covers curriculum explanation and software installation guidance. The Data Science Foundation course covers Excel fundamentals (calculations, data sets, manipulation) and statistical concepts (mean, median, mode, standard deviation and skewness) with real-world scenarios applied for data analysis using graphs/charts. The Programming Foundation course introduces data science and builds programming skills including code solutions, algorithms and flowcharts/pseudocode for further exploration of data science/coding.

The orientation session at DataTrained is tailored to equip students with the necessary information and understanding to effectively utilize our platform for the best possible outcome. During this session, students are provided with a thorough introduction to our modern Learning Management System, called the DataTrained Academy. Students gain an understanding of how they can easily access course material, engage in live classes, complete assessments, and connect with mentors for any questions or queries. Moreover, students learn about the career coach support who is available to them throughout their course journey to provide guidance and support.

In order to ensure that students have a comprehensive understanding of the course and its expectations, a preparatory session is held prior to the commencement of the program. This session is designed to give students an in-depth explanation of the entire curriculum, as well as guidance on how to install any necessary software needed to begin their journey with the course. This preparatory session helps to alleviate any uncertainties or apprehensions that students may have about their upcoming program, and ensures that they are fully prepared for the challenges ahead.

The "Data Science Foundation" course is the next offering in the program, allowing students to gain insight into data science and the responsibilities of a data scientist or analyst. It begins with a thorough overview of Excel fundamentals, such as basic calculations, working with data sets, cleaning and manipulating it for further use. Additionally, learners will be introduced to important statistical concepts like mean, median, mode, standard deviation and skewness. They will also be coached on how to apply these to real-world scenarios in Excel and analyze data accurately. Through the use of graphs and charts, students can then make informed decisions based on their observations from the data analysis.

Upon being given a basic introduction to the expansive field of data science, students build upon their programming skills through the "Programming Foundation for Data Science" course. Its primary purpose is to ensure that students have a thorough understanding of programming fundamentals and how to create a code-based solution for any problem or challenge they may face. Throughout this course, students acquire the ability to craft algorithms by way of flowcharts and pseudocode, which are essential components in any programming journey. This course provides an excellent foundation for those looking to explore the world of data science and coding practices in greater detail.

Foundations

The Foundations bundle comprises 2 courses where you will learn to tackle Statistics and Coding head-on. These 2 courses create a strong base for us to go through the rest of the tour with ease.

This course will introduce you to the world of Python programming language that is widely used in Artificial Intelligence and Machine Learning. We will start with basic ideas before going on to the language's important vocabulary as search phrases, syntax, or sentence building. This course will take you from the basic principles of AI and ML to the crucial ideas with Python, among the most widely used and effective programming languages in the present market. In simple terms, Python is like the English language.

Python Basics

Python is a popular high-level programming language with a simple, easy-to-understand syntax that focuses on readability. This module will guide you through the whole foundations of Python programming, culminating in the execution of your 1st Python program.

Anaconda Installation - Jupyter notebook operation

Using Jupyter Notebook, you will learn how to use Python for Artificial Intelligence and Machine Learning. We can create and share documents with narrative prose, visualizations, mathematics, and live code using this open-source online tool.

Python functions, packages and other modules

For code reusability and software modularity, functions & packages are used. In this module, you will learn how you can comprehend and use Python functions and packages for AI.

NumPy, Pandas, Visualization tools

In this module, you will learn how to use Pandas, Matplotlib, NumPy, and Seaborn to explore data sets. These are the most frequently used Python libraries. You'll also find out how to present tons of your data in simple graphs with Python libraries as Seaborn and Matplotlib.

Working with various data structures in Python, Pandas, Numpy

Understanding Data Structures is among the core components in Data Science. Additionally, data structure assists AI and ML in voice & image processing. In this module, you will learn about data structures such as Data Frames, Tuples, Lists, and arrays, & precisely how to implement them in Python.

In this module, you will learn about the words and ideas that are important to Exploratory Data Analysis and Machine Learning. You will study a specific set of tools required to assess and extract meaningful insights from data, from a simple average to the advanced process of finding statistical evidence to support or even reject wild guesses & hypotheses.

Descriptive Statistics

Descriptive Statistics is the study of data analysis that involves describing and summarising different data sets. It can be any sample of a world's production or the salaries of employees. This module will teach you how to use Python to learn Descriptive Statistics for Machine Learning.

Inferential Statistics

In this module, you will use Python to study the core ideas of using data for estimating and evaluating hypotheses. You will also learn how you can get the insight of a large population or employees of any company which can't be achieved manually.

Probability & Conditional Probability

Probability is a quantitative tool for examining unpredictability, as the possibility of an event occurring in a random occurrence. The probability of an event occurring because of the occurrence of several other occurrences is recognized as conditional probability. You will learn Probability and Conditional Probability in Python for Machine Learning in this module.

Hypothesis Testing

With this module, you will learn how to use Python for Hypothesis Testing in Machine Learning. In Applied Statistics, hypothesis testing is among the crucial steps for conducting experiments based on the observed data.

Machine Learning

Machine Learning is a part of artificial intelligence that allows software programs to boost their prediction accuracy without simply being expressly designed to do so. You will learn all the Machine Learning methods from fundamental to advanced, and the most frequently used Classical ML algorithms that fall into all of the categories.

With this module, you will learn supervised machine learning algorithms, the way they operate, and what applications they can be used for - Classification and Regression.

Linear Regression - Simple, Multiple regression

Linear Regression is one of the most popular Machine Learning algorithms for predictive studies, leading to the very best benefits. It is an algorithm that assumes the dependent and independent variables have a linear connection.

Logistic regression

Logistic Regression is one of the most popular machine learning algorithms. It is a fundamental classification technique that uses independent variables to predict binary data like 0 or 1, positive or negative , true or false, etc. In this module, you will learn all of the Logistic Regression concepts that are used in Machine Learning.

K-NN classification

k-Nearest Neighbours (Knn) is another widely used Classification algorithm, it is a basic machine learning algorithm for addressing regression and classification problems. With this module, you will learn how to use this algorithm. You will also understand the reason why it is known as the Lazy algorithm. Interesting Right?

Support vector machines

Support Vector Machine (SVM) is another important machine learning technique for regression and classification problems. In this module, you will learn how to apply the algorithm into practice and understand several ways of classifying the data.

We explore beyond the limits of supervised standalone models in this Machine Learning online course and then discover a number of ways to address them, for example Ensemble approaches.

Decision Trees

The Decision Tree algorithm is an important part of the supervised learning algorithms family. The decision tree approach can be used to resolve regression and classification problems unlike others. By learning simple decision rules inferred from previous data, the goal of using a Decision Tree is constructing a training type that will be used to predict the class or value of the target varying.

Random Forests

Random Forest is a common supervised learning technique. It consists of multiple decision trees on the different subsets of the initial dataset. The average is then calculated to enhance the dataset's prediction accuracy.

Bagging and Boosting

When the aim is to decrease the variance of a decision tree classifier, bagging is implemented. The average of all predictions from several trees is used, that is a lot more dependable than a single decision tree classifier.

Boosting is a technique for generating a set of predictions. Learners are taught gradually in this technique, with early learners fitting basic models to the data and consequently analyzing the data for errors.

In this module, you will study what Unsupervised Learning algorithms are, how they operate, and what applications they can be used for - Clustering and Dimensionality Reduction, and so on.

K-means clustering

In Machine Learning or even Data Science, K-means clustering is a common unsupervised learning method for managing clustering problems. In this module, you will learn how the algorithm works and how you can use it.

Hierarchical clustering

Hierarchical Clustering is a machine learning algorithm for creating a bunch hierarchy or tree-like structure. It is used to group a set of unlabeled datasets into a bunch in a hierarchical framework. This module will help you to use this technique.

Principal Component Analysis

PCA is a Dimensional Reduction technique for reducing a model's complexity, like reducing the number of input variables in a predictive model to avoid overfitting. Dimension Reduction PCA is also a well-known ML approach in Python, and this module will cover all that you need to know about this.

DBSCAN

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to identify arbitrary-shaped clusters and clusters with sound. You will learn how this algorithm will help us to identify odd ones out from the group.

Advanced Techniques

EDA - Part1

Exploratory Data Analysis (EDA) is a procedure of analyzing the data using different tools and techniques. You will learn data standardization and represent the data through different graphs to assess and make decisions for several business use cases. You will also learn all the essential encoding techniques.

EDA - Part2

You will also get a opportunity to use null values, dealing with various data and outliers preprocessing techniques to create a machine learning model.

Feature Engineering

Feature Engineering is the process of extracting features from an organization's raw data by using domain expertise. A feature is a property shared by independent units that can be used for prediction or analysis. With this module, you will learn how this works.

Feature Selection

Feature selection is also called attribute selection, variable selection, or variable subset selection. It is the process of selecting a subset of relevant features for use in model development. You can learn many techniques to do the feature selection.

Model building techniques

Here you will learn different model-building techniques using different tools

Model Tuning techniques

In this module, you can learn how to enhance model performance using advanced techniques as GridSearch CV, Randomized Search CV, cross-validation strategies, etc.

Building Pipeline

What is Modeling Pipeline and how does it work? Well, it is a set of data preparation steps, modeling functions, and prediction transform routines organized in a logical order. It allows you to specify, evaluate, and use a series of measures as an atomic unit.

Time Series Analysis

Introduction

A time series is a set of data points that appear in a specific order over a specific time. A time series in investing records the movement of selected data points, like the cost of security, with a set period of time, with data points collected at regular intervals.

Time Series Components

In this module, you will learn about different components that are necessary to analyze and forecast future outcomes.

Stationarity

You will learn what is stationarity and the importance of learning stationarity.

Time Series Models

In this module, you will learn common Time series models as AR, MA, ARIMA, etc.

Model Evaluation

When you build models, you will use different evaluation methods to gauge the product performance or even accuracy. Yes, In this module, you will learn model evaluation methods.

Use Case and Assignment

You will also get a chance to work on assignments and feel at ease while working on the use case scenarios.

Projects

Also, we are providing a few more extra projects for practice, you can assemble and compare your solutions with the ones we provide.

Recommendation Engine

Introduction

In the introduction module, you will learn why recommendation systems are used, their requirement, and their applications.

Understanding the relationship

In this module, you will learn on what basis recommendation engine works and their association rules.

Types of Data in RS

In this module, you will learn all the types of data used in the Recommendation Engine.

Ratings in RS

In this module, you will learn just how the ratings are drawn in the Recommendation Engine.

Similarity and Its Measures

Recommendation systems work on the basis of similarity between the product and the consumers who view it. There are many ways for determining how similar 2 products are. This similarity matrix is used by recommendation systems to recommend the next most comparable product to the customer.

Types of Recommendation Engine

In this module, you will learn different types of Recommendation Engines.

Evaluation Metrics in Recommendation

Once you build the models, you require metrics to evaluate how effective is your model. You will learn various evaluation tools in RE.

Use cases

You will also get an opportunity to focus on additional use cases. Later, you can compare your solution with the SME-provided solution.

ChatGpt Essentials

ChatGpt is a revolutionary AI chatbot technology that provides users with powerful tools for content generation, prompt ideas, and other features. This module will help you understand the various capabilities of this advanced technology, including its strengths and limitations.

GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art language model developed by OpenAI. Learn about GPT-3 and its capabilities like Natural Language Understanding abd Promt Engineering.

Prompt engineering is the practice of designing and crafting effective prompts or input instructions for language models like GPT-3 to guide their generation of desired outputs. Learn to leverage the power of prompt engineering to be 10x productive like never before.

Explainable AI and model interpretability are becoming increasingly important as AI models are being used in various critical domains, such as healthcare, finance, and legal systems, where accountability, fairness, and transparency are crucial. Learn to build machine learning models using LIME & ShARP.

Dive into the GPT model and their architecture. Develop understanding about concepts like Reinforcement Learning from Human Feedback (RLHF), one-shot learning, and few shot learning.

Learn to build an AI Evaluator that automatically evaluate exam submissions by the students by leveraging the GPT and eliminating the need for training NLP models from the scratch.

Understand and learn to build a GNN model.

In depth understanding of advanced GNN.

Generative models can be used in a wide range of applications, including image generation, text generation, speech synthesis, music composition, and more. Build underderstandinng of text-to-image models and image-to-text models.

Electives

Strong hand-holding with dedicated support to help you master some of the complex processes of Data Science and Artificial Intelligence.

Deep Learning with Computer Vision

  • Deep Learning
  • Computer Vision

Deep Learning with NLP

  • Deep Learning
  • Deep NLP

Business Analytics with R

  • Business Analytics with "R" programming and R shiny
  • Business Analytics with Advanced Excel

Business Analytics with Tableau

  • Business Analytics with Tableau
  • Business Analytics with Advanced Excel

Business Analytics with Power BI

  • Business Analytics with Power BI
  • Business Analytics with Advanced Excel

Industry Projects Offered

Learn through real-life industry projects supported by top companies across industries and the most exclusive data science course Pune.

  • Mentoring by the industry professionals to learn and apply better - data science course puneMentoring by the industry professionals to learn and apply better
  • Engage in the joint projects and learn from peers - data science course puneEngage in the joint projects and learn from peers
  • Personalized subjective feedback - data science course punePersonalized subjective feedback for your submissions to offer improvement
Air Quality Study - data science course pune

Air Quality Study

Established on The Data Collected from Meteorological Department of the country. Forecasting Air Quality Of Different Parts of The nation.

Recommendation System - data science course pune

Recommendation System

Organizations must be using to Recommend the Products & their Services to the People in the interconnected world

Smartphone and Smartwatch Activity - data science course pune

Smartphone and The Smartwatch Activity

The crude accelerometer & the whirligig sensor info is collected from the cell phone and smartwatch at a pace of 20Hz.

Why to Choose DataTrained For Data Science Course Pune with Placement?

DataTrained provides the most exclusive and the best Data Science course Pune with 100% placement guarantee, i.e., the PG Program in Data Science, ML, and Neural Networks. Top Data Scientists develop course with and industry experts working in the data science companies of Pune for several decades, and the course curriculum is at par with the international industry standards. The program duration is 12 months, which perfectly balances practical and theoretical learning, covering everything from the fundamentals to advanced levels of the Data Science course Pune with placement across India.

Enroll today in the leading Data Science course Pune with placement.

Internship - data science course pune

With the Data Science course Pune, Datatrained offers six Months internship to ensure that students graduate as experienced data science professionals and are no fresher. Datatrained also allows you to go for the online internship for working professionals.

Resume Feedback - data science course pune

Datatrained has collaborated with IIMJobs for the Top Data science course Pune, which offers you access to their paid resume preparation kit & their personal feedback from experts from HR domain. Experts prepare the individual career profile per the candidate's experience to ensure that it is relevant to data science role.

Interview Preparation - data science course pune

Regular mock HR interviews with Technical interviews by mentors with personal support & guidance to each student. Industry mentors facilitate students to take projects so that their resume looks competitive and professional to the recruiters.

Placement - data science course pune

We generate each student's Ability Score, then it is sent to our 400 recruitment partners. We provide campus placements every 3 months to place our students in the best organizations.

Career Impact

DataTrained, in partnership with , presents the best data science course pune. Over 5000+ Careers Transformed.

DataTrained has assisted me with the vital knowledge and skills required for a data scientist role. The teacher starts with an example to make us understand the concept and then enables us to build the Algorithms with real-life industry datasets. DataTrained fetches the power of online learning and proper Mentorship, Counseling, Live Sessions, and six months Live Internships.

Aaruni Khare, Data Scientist, RBS - data science course pune
Aruni Khare Data Scientist, RBS

I saw an ad from DT on Facebook, contacted them immediately & enquired about their Data Science course. Counselor took me through the whole content of what they offer & what data science is all about. After continued conversation for few weeks, I was relatively sure about the course, & now I knew where to invest my money & hard work.

Rakshit Jain, Data Scientist, Optum - data science course pune
Rakshit Jain Data Scientist, Optum

The program is well-balanced blend of pre-recorded classes, weekend live sessions, and hardcopy reading materials they sent to my address. My mentor Amit Kaushik assisted me in getting that confidence and complete my assignments on time. I have nearly completed data science course & have been able to crack the Glenmark interview. Thank you so much, DataTrained.

Rupam Kumar Chaurasia, Head Sales, Glenmark - data science course pune
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - data science course pune 66%

Average Salary Hike

Upto 25LPA Highest Salary - data science course pune Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - data science course pune 7k+

Jobs Sourced

950+ Hiring Partners  - data science course pune 950+

Hiring Partners

Admission Process

There are three simple steps in Admission Process, which are detailed below.

Step 1: Fill in a Query Form

Please fill up Query Form, & one of our counselors will call you & understand your data science course Pune eligibility.

Step 2: Get Shortlisted & Receive a Call

Our Admissions Team will review your profile. After successfully qualifying, an Email will be sent to you confirming your admission to the program.

Step 3: Block your Seat & Begin the Prep Course

Block your seat with the payment of fee to register in the program. Start with your Prep course & start your Data Science journey!

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

data science course pune fees

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What's Included in the Price

Placements

Access to real-life 40 industry projects

6 Months online Internship part of the core curriculum

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Data Science Trends in Pune

The latest trends in data science domain suggest that a new perspective is taking shape. Data is no longer science reserved for a select group of specialists. Still, it has become an invaluable opportunity for every professional within a business to improve and refine their practice. Data science course Pune with placement can assist you with a rewarding career in the 21st century. The demand for data scientists in New Pune is at an all-time high, resulting in an upward career arc & generous pay from companies. 2022 and the next few years will be fascinating for businesses and teams adopting data science.

Jobs or Vacancies in the field of Data Science in Pune

India is witnessing rapid digitization of businesses and services, making it the world's second-largest hub for data science. Approx. 93,000 jobs in Data Science sector were vacant in India at the end of Aug 2021.

Analytics & Data Science jobs/vacancies increased by 30% in April 2021 compared to April 2022.

For the 5th time in a row, Pune became one of the top cities in India for a data science course Pune. Data Scientist Salary in New Pune based on 597 salaries on online. 70% of the vacancies were for fewer than 5 years of experience. Transitioning to data science career is smart as it fetches far higher comparative results.

Salary in Pune for Data Science Professionals

Data Scientist salary in Pune ranges from ₹4 Lakhs to ₹22.1 Lakhs, with average annual salary of ₹10.4 Lakhs. When you earn the PG certificate, you can expect anywhere from a 13 to 25% boost in your yearly salary.

Thus, investing just 4 to 5 hours weekly of one's time to gain specialization in Data Science & Machine Learning gives compounded returns, in the long run, allowing professionals to expand their career horizons.

Data Science Course Pune with Placement

Pune, previously known as Poona, was India's most significant industrial and educational hub and had a population of 7.4 million as of 2020. Poona served as the city's official name from 1818 until 1978. Pune Metropolitan Region, with a physical area of 7,256 sq km, is the largest in Maharashtra by area as of 2021. It has repeatedly been referred to as "the most liveable city in India." Pune is also regarded as Maharashtra's cultural and educational hub. The Pune Metropolitan Region's urban centre is made up of the municipal corporation areas of PCMC, PMC, and the three cantonment towns of Camp, Khadki, and Dehu Road. Pune is recognized as India's most significant automotive and manufacturing hub and the country's second-largest IT hub. Most popular attractions in Pune include:

Frequently Asked Questions

In order to enroll in our best Data Science course in Pune, students must have a bachelor's degree. As soon as you receive the degree, you can sign up for our course. You can even register, though your results will be available in a few days. It would be advantageous to have academic background in computer science (CS) or information technology (IT). However, since we teach everything from scratch, it is not necessary.

The duration of the data science course Pune is 12 months. It would include six months of online live classes (2-hour weekend classes) classes led by mentors and teachers with decades of industry experience. The course also includes a live internship program tht will be provided by DataTrained in collaboration with partner organizations for the remaining six months.

We accept various modes of payment for payment of fee for Data Science Course Pune. For more information, please call our helpline numbers given on the official website. The following forms of the payment are accepted to pay the fee:

  • Cash
  • Net Banking
  • Debit Card
  • Bajaj Finserv
  • American Express
  • Mastercard
  • Loan(No Cost EMI)
  • One Shot Direct Payment
  • Cheque
  • Credit Card
  • Visa
  • PayPal

A 100% Job Guarantee is part of the DataTrained Data Science course Pune. This platform is an excellent resource for online data science education. You would gain the necessary experience from the 6-month live internship in addition to a 100% Job Guarantee. We will optimize your LinkedIn profile for networking, update your resume to get the attention of top employers, and conduct mock interviews so you can practice answering technical and general interview questions.

After registering and making your initial payment, you will have access to our LMS or learning management system (LMS). The LMS login information will be sent to you through email. All of your course materials will be available on this platform. The course videos and live sessions are available here. If a student has any queries or concerns, they can create a ticket or chat with support. Any questions you have about our Data Science Course Pune will be promptly answered.

You are eligible for a refund of the Booking Amount if you cancel your course within 7 calendar days of the Course Registration Date, which is the date of payment. However, this refund policy does not supersede any course-specific refund terms. Please consult your counselor for more information about the respective course's refund terms.