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PG Course in Data Science, Machine Learning & 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

Best Data Analytics Courses Pune with Placement Guarantee

In Curriculum


Be an industry-ready Certified Data Analytics professional with this exclusive Data Analytics Courses Pune by tempting learning of Data Analytics with Machine Learning models, Forecasting and predicting Models, Visualization, NLP, Deep Learning & more with a 100% placement guarantee course Pune.

In Collaboration With
  • nasscom data analytics courses pune

19 Jul, 2024

Next Batch
starts on

12 Months

20-22 hrs/week

6 Months








Program Overview

Best online data analytics courses Pune, where you get hands-on training on all relevant and in-demand tools, techniques, and technologies with this data analytics courses Pune with a placement guarantee. Also, with the most affordable data analytics courses Pune, fees structure.

Key Highlights

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

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 160000
    • Learners - data analytics courses pune
    • Learners - data analytics courses pune
    • Learners - data analytics courses pune
    • Learners - data analytics courses pune
    8500+ learners
  • 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 analytics courses pune
  • Python - data analytics courses pune
  • Tableau - data analytics courses pune
  • NLP - data analytics courses pune
  • SQL server - data analytics courses pune

What's the focus of this Data Analytics courses Pune with a guaranteed placement?

Select out of 5 Unique specializations, learn 14+ programming tools & languages, Live case studies and projects, six months of live internship, get mentorship from industry experts, dedicated career support, & much more with the best data analytics courses Pune. The focus is also on offering the affordable Data Analytics courses Pune fee structure.

5 Unique Specializations - data analytics courses pune

5 Unique Specializations

Get a chance to select from 5 unique specializations matching with your career and academic background. Obtain an Executive Certification in Data Science, Machine Learning, and Neural Networks In Collaboration With in Pune.

Dedicated Career Assistance - data analytics courses pune

Dedicated Career Assistance

Have a chance to Receive 1:1 counseling sessions for your career from industry experts & regular mock interviews with hiring managers. Boost your career with our more than 400 hiring partners from various Organizations.

Student Support - data analytics courses pune

Students Support

For your query resolution chat support is open from 06 AM to 11 PM IST. Our Program Managers are always available on call or chat, and you can also use our user-friendly ticket-raising system during company hours.


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.

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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

Hours of Content

80+ Live Sessions - data science online training

Live Sessions

15 Tools and Software - best tools for data science

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.


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.


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


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.


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.


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


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.


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

Learn through the real industry projects supported by top organizations across industries and the most exclusive data analytics courses Pune.

  • Engage in joint projects and learn from fellow mates - data analytics courses puneEngage in joint projects and learn from fellow mates
  • Mentoring and counseling - data analytics courses puneMentoring and counseling by industry professionals to learn and apply better
  • facilitate improvement we give personalized subjective - data analytics courses puneTo facilitate improvement we give personalized subjective feedback for your submissions
Smartphone and Smartwatch Activity - data analytics courses pune

Smartphone and The Smartwatch Activity

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

Recommendation System - data analytics courses pune

Recommendation System

Organizations must be used to Recommend their Products and Services in the interconnected world to the people.

Air Quality Study - data analytics courses pune

Air Quality Study

Data collected from the Meteorological Department is used to Speculate The Air Quality Of Different Parts Of The country.

Why Choose DataTrained For A Data Analytics Courses Pune with Placement?

DataTrained provides you the most exclusive and best Data Analytics courses Pune with a 100% placement guaranteed, i.e., the PG Program in Data Science, Machine Learning, and Neural Networks is developed by Top Data Scientists from 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 primary to the advanced levels of the Data Analytics courses Pune with placement across India.

Enroll today in the Best Data Analytics courses Pune with placement.

Internship - data analytics courses pune

With the Data Analytics courses Pune, Datatrained offers a 6 Months internship to ensure that students graduate as experienced data analytics professionals and are no fresher. Datatrained also facilitate you to go for an online internship with working professionals.

Resume Feedback - data analytics courses pune

Datatrained has collaborated with IIM Jobs for the Top Data Analytics Courses Pune, which offers you to access their paid resume preparation kit and personal feedback from experts from the HR domain. Our experts prepare an individual career profile as per the candidate's experience to ensure it is relevant to a data analyst role.

Interview Preparation - data analytics courses pune

Regular mock interview along with HR and Technical team with personal support and guidance to each student. The industry mentors facilitate students to take live projects so that their resume looks competitive and professional to the recruiters.

Placement - data analytics courses pune

We maintain each student's Ability Score, which is then sent to our 950+ recruitment copartner organizations. We arrange campus placements in every three months to get placed our students in the top organizations.

Career Impact

DataTrained, in association with , delivers the best online Data Analytics Courses Pune. Over 150,000+ Careers are transformed till now and counting.

DataTrained has supported you with the critical knowledge and skills required for a data analytics position. The trainer begins with examples to make us understand the concept and then helps us to build the Algorithms with the live industry data sets. DataTrained brings the power of online learning with six months Internship and dedicated Mentorship, Counseling and Live Sessions.

Aaruni Khare, Data Scientist, RBS - data analytics courses pune
Aruni Khare Data Scientist, RBS

I saw an advertisement of DataTrained on Facebook, I contacted them immediately and enquired about their Data Science online course. The counselor took me through the concept of what they offer and what data science is all about. After continuous conversation of a few weeks, Now I was relatively confident about the course, and now I knew where I had to invest my money and hard work.

Rakshit Jain, Data Scientist, Optum - data analytics courses pune
Rakshit Jain Data Scientist, Optum

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

Rupam Kumar Chaurasia, Head Sales, Glenmark - data analytics courses pune
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - data analytics courses pune 66%

Average Salary Hike

Upto 25LPA Highest Salary - data analytics courses pune Upto 25LPA

Highest Salary

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Jobs Sourced

950+ Hiring Partners  - data analytics courses pune 950+

Hiring Partners

Admission Process

In the Admission Process, there are three simple steps, which are detailed below.

Step 1: Fill in a Query Form

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

Step 2: Get Shortlisted and Receive a Call

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

Step 3: Book your Seat and Start the Prep Course

Grab your seat with the payment to register in the program. Start with your Prep course and be ready to start your Data Analytics journey.

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

data analytics courses pune fees

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What's Included in the Price


Access to real-life 40 industry projects

6 Months online Internship part of the core curriculum

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Data Analyst Trends in Pune

Data Analytics Companies in Pune critically understand the importance of data analytics into a business venture. Data developers in Pune are understanding and examining the large data sets to bring changes in a company structure.

Companies in Pune are taking the high initiative with the help of Data Analytics to offer services. With the help of a Data Analytics courses Pune one can get better career opportunities with big firms, these companies use data analytics to help other companies to gain competitive advantages.

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Big organizations are ready to give heavy packages to their employees at the entry-level. DataTrained will help you to gain extraordinary insights into your career. With our Data Analytics course in Pune, you can go far in your career.

Salary in Pune for Data Analytics Professionals

Data analytics is a multidisciplinary field with heavy use of computer skills, statistics, and mathematics. Due to the high demand for working professionals, the salary of employees is much higher than in any other field.

On entry-level organizations are paying high packages to their employees. People earn ₹6 lac - 10 lac per annum and an average salary of 8 lac per annum.

DataTrained will provide you the working knowledge with a live internship on real projects of the organizations so that you can earn more and have tremendous growth in your career.

Data Analytics Courses Pune with Placement

Pune is a city with the largest region in Maharashtra by area. It is formerly known as ‘Poona’.Pune is one of the largest hubs of education and industry in India. It has a 7.4 million population as of 2021, and the geographical area of Pune is 7,256 sq. km. Pune is also called the ‘Cultural and Educational Capital of Maharashtra’. Several times it has also been ranked as ‘the most liveable city in India’. The Pune Metropolitan Region (PMR) defined in1967 has 10 talukas in the Pune district. Pune has a steamy wet and dry climate with average temperatures of 20 - 28°C. Here are popular attractions in Pune:

Frequently Asked Questions

DataTrained in collaboration with provides best data analytics course in Pune. We look forward to provide quality education at affordable price with the best counseling sessions and an industry interface.

The best institute for data Analytics course in Pune provides:

  • Machine learning course in Pune
  • Data science course in Pune
  • Natural language processing course in Punex

Our course has a complete syllabus that is curated by faculty from IITs, , and Experts in the industry. You will get to learn through authentic industry projects sponsored by top companies across different industries. Along with this data analytics course in Pune, you'll get extra benefits like

  • Live Internship
  • Resume Feedback
  • Interview Preparation
  • 100% Guaranteed placement

For any further info, please contact us. We will hear you and help you.

Our mission at DataTrained is to provide the Best Data Analytics Courses Pune at affordable prices. Our data analytics courses Pune fees structure is more affordable than others, and the data analytics course fees in Pune are also reasonable compared to our other competitors. Our aim is to offer a data analytics course at reasonable price. We also offered the option of no-cost EMI payment. Our mission is providing quality education with the best counseling sessions and an industry interface.

We aspire to see our students placed in different data science roles at the best organizations. It is our job to make data analytics training affordable for everyone interested in learning. For more information, please connect us. We'd love to hear from you.

You can become a data analytics in Pune through an online data analytics courses Pune. Learning data analytics online is easier since all you need is a computer with the internet and interest in learning. An online data science course in Pune comes with a lot of benefits like:

  • Flexible Time slots
  • Affordable fee structure
  • Upskilling in career that makes aspirants future ready
  • It offers to learn at your own space
  • Learn by the professionals

Apart from these benefits, our top data analytics course in Pune provides 300 hours and more of content, 80 hours and more of live sessions, and more than 15 tools & software. You'll get to learn from industry-working professionals as they help you understand the applications. 6 Months internship in industry ensures that you graduate as an experienced data analytics professional rather than a fresher. You can become a data analytics in Pune by enrolling in the best institute for a data science course in Pune.

Undoubtedly, this is the best online course for data analytics courses Pune. This data analytics course covers all aspects of data analytics, from theoretical to practical and fundamental to advanced. All necessary languages & tools are covered in this course like

  • Excel
  • Python
  • Tableau
  • NLP
  • Microsoft SQL Server
  • Power BI

Also, you get an option to choose from 6 unique elective courses according to your need, academic background, and preferences. If you have more queries, please contact us through call, WhatsApp, or email. We'd be happy to help and guide you.

Yes, coding knowledge is required for data analytics courses but not at the higher level. A basic level of coding needs to be used in Data Analyst Course Pune. In DataTrained we will give all kind of knowledge that you should have for a course.

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.