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PG Course in Data Science, Machine learning and Neural networks in Mumbai in collaboration with

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

Data Science Course fees in Mumbai with Placement Guarantee

In Curriculum


You can become an industry-ready Certified Data Science professional with the exclusive Data Science program in Mumbai with an immersive learning experience of Data science with Machine Learning models, Forecasting, Visualization and predicting Models, NLP, Deep Learning & more with a 100% placement guarantee course in Mumbai.

In Collaboration With
  • nasscom data science course fees in mumbai

29 Sep, 2023

Next Batch
starts on

12 Months

20-22 hrs/week

6 Months








Course Description

Data Science Course Fees in Mumbai

DataTrained offers the Cheapest Data Science Course fees in Mumbai 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 these Data Science Course fees in Mumbai with Placement. Also with the most affordable Data Science Colleges course fee structure in Mumbai. DataTrained is one of India’s leading institutions which offers the best Data Science Course fees in Mumbai along with training to placement guarantee.

Key Highlights

  • 6 Months of rigorous Internship - data science course fees in mumbai6 Months of rigorous Internship
  • One-on-One interaction with Industry Mentors - data science course fees in mumbaiOne-on-One interaction with Industry Mentors
  • 100% Placement guarantee - data science course fees in mumbai100% Placement guarantee
  • 40+ Live Projects along with Case Studies - data science course fees in mumbai40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager - data science course fees in mumbaiDedicated Career Program Manager
  • 360 Degree Career Guidance - data science course fees in mumbai360 Degree Career Guidance
  • Ideal for both Fresh Graduates & Working Professionals - data science course fees in mumbaiIdeal for both Fresh Graduates & Working Professionals
  • Unique Specializations to choose from - data science course fees in mumbaiUnique Specializations to choose from
  • Prompt Query Resolution - data science course fees in mumbaiPrompt Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 160000
    • Learners - data science course fees in mumbai
    • Learners - data science course fees in mumbai
    • Learners - data science course fees in mumbai
    • Learners - data science course fees in mumbai
    8500+ learners
  • 300+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • Enhanced Upskilling

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 fees in mumbai
  • Python - data science course fees in mumbai
  • Tableau - data science course fees in mumbai
  • NLP - data science course fees in mumbai
  • SQL server - data science course fees in mumbai

What's the focus of Mumbai's Data Science course fees in Mumbai with placement?

Pick out any from 5 unique specializations, study 14+ programming tools & languages, Live case studies and projects, six months of live internship, mentorship through industry experts, faithful career support, & lot more with the data science course fees in Mumbai. The focus is also on presenting the most inexpensive Masters in Data Science course fees in Mumbai.

5 Unique Specializations - data science course fees in mumbai

5 Unique Specializations

Get a lucky chance to pick from 5 unique specializations per your career goals and academic background. Acquire an Executive Certification In Data Science, Neural networks, and Machine learning In Collaboration With in Mumbai.

Dedicated Career Assistance - data science course fees in mumbai

True Career Support

Get an opportunity to Receive 1:1 career counseling sittings from industry professionals & regular immense mock interviews with hiring managers. Lift your career with our 400+ hiring partners from several industry domains.

Student Support - data science course fees in mumbai

Education Assistance

Discussion Chat support starts from 06 AM to 11 PM IST for quick care Resolution. Our Program Leaders are present on call or chat, and you can also utilize our user-friendly ticket-raising system in the time of 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.

Sanket Maheshwari - Data Scientist, Faasos

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.

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

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

Discover through the everyday-life industry projects assisted by leading companies across industries and the most exclusive and inexpensive data science course fees in Mumbai.

  • Involved in joint projects and learn from Aristocats - data science course fees in mumbaiInvolved in joint projects and learn from Aristocats
  • Mentoring by industry experts to discover and apply better - data science course fees in mumbaiMentoring by industry experts to discover and apply better
  • Customized subjective replies for your submissions - data science course fees in mumbaiCustomized subjective replies for your submissions to facilitate progress
Smartphone and Smartwatch Activity - data science course fees in mumbai

Smartphone and Smartwatch Action

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

Recommendation System - data science course fees in mumbai

Recommendation System

Associations usually advise their Products & Services to the People in the interconnected world.

Air Quality Study - data science course fees in mumbai

Air Quality Study

For Forecasting the air quality of various parts of the country, They create Meteorological Department and collect data from it.

Why Choose DataTrained For A Data Science Course In Mumbai with Placement?

DataTrained provides the most exclusive and inexpensive Data Science course fees in Mumbai, guaranteeing 100% placement; these are the PG in Data Science, Neural Network, and Machine learning. Leading Data Scientists created the Program from and industry professionals working in the data science corporations of Mumbai for several years, and the educational program as equals with the international industry standards. The program spans over 12 months, balancing functional and conceptual learning, wrapping each portion from the primary to the secondary levels of the Data Science course in Mumbai with placement across India.

Register now, in the most exclusive and inexpensive PG Data Science course fees in Mumbai with placement.

Internship - data science course fees in mumbai

With the Data Science course fees in Mumbai, Datatrained presents a 6 Months internship to assure you that graduate students come out as experienced data science professionals and are no fresher. Datatrained also offers you to go for an online internship for working professionals.

Resume Feedback - data science course fees in mumbai

Datatrained has collaborated with IIMJobs for the leading Data science course fees in Mumbai, which gives you easy approachable to their paid resume preparation kit and personal evolution from experts from the HR domain. Our experts prepare a separate career profile per the candidate's feedback to ensure it is important to a data science role.

Interview Preparation - data science course fees in mumbai

Regular mock HR along with Technical interrogation by mentors with personal support and guidance to each student. The industry mentors assist students to carry projects on Kaggle so that their resume looks rival and ambitious to the recruiters.

Placement - data science course fees in mumbai

We produce each student's Ability Score, which is then submitted to our 400+ recruitment partner organizations. We organize campus placements every three months to place our students in the best firms.

Career Impact

DataTrained, in collaboration with , delivers the most exclusive and inexpensive online Data Science course fees in Mumbai. Over 150,000+ Careers transformed till now and still counting.

DataTrained has endorsed me with the essential knowledge and skills required for a data scientist position. The trainer proceeds with an example to make us understand the principals and then assist us build the Algorithms with the genuine industry data sets. DataTrained fetches the power of virtual learning and devoted Mentorship, Live Sessions, counselling and six months Internships.

Aaruni Khare, Data Scientist, RBS - data science course fees in mumbai
Aruni Khare Data Scientist, RBS

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

Rakshit Jain, Data Scientist, Optum - data science course fees in mumbai
Rakshit Jain Data Scientist, Optum

The program is a well-balanced blend of pre-recorded classes, weekend live sessions, and hardcopy reading materials they sent to my address. My mentor was Amit Kaushik, and he assisted me in getting that confidence and complete my assignments on time. 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 science course fees in mumbai
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - data science course fees in mumbai 66%

Average Salary Hike

Upto 25LPA Highest Salary - data science course fees in mumbai Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - data science course fees in mumbai 7k+

Jobs Sourced

400+ Hiring Partners  - data science course fees in mumbai 400+

Hiring Partners

Admission Process

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

Step 1: Fill in a Query Form

After completing the Query Form, our counselors will ring you & make you understand your data science course in Mumbai capability.

Step 2: Get Shortlisted and Receive a Call

Our Admissions Team will evaluate your profile. After successfully cracking, an Email will be forwarded to you confirming your admission to the program.

Step 3: Block your Seat and Start the Prep Course

Enroll your seat with the payment to enroll in the program to begin with your Preparation course and start your Data Science journey!

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

data science course fees in mumbai 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 Science Trends in Mumbai

The new trends in data science suggest that a new approach is being configured. Data is any longer a science preserved for a selected group of experts. However, it has turned into a precious opportunity for every expert within a business to strengthen and clarify their practice. Data science courses fees in Mumbai with placement can facilitate you with a worthwhile career in the 21st century.

Mumbai contributes to India, with 15% of the creation of new analytics jobs.Whether you look at United states or Indian states Data scientists seem equally competitive even in new small projects.

Jobs/Vacancies in the field of Data Science course fees in Mumbai

It's become a trend that professionals from other industries are switching their profession in Data scientist. If we search job vacancies on leading job portals thus it will result in 25,000+ jobs are currently open in Mumbai and other states of India. According to Statistics, 2018-2019 Four millions job openings were in India only and it will increase in upcoming years. Companies who are increasing their demand for Data scientists will continue its growth and can never decrease.

Salary in Mumbai for Data Science Professionals

Data science is a high paying profession. Demand for data scientists is increasing as all companies want to predict their future technically with the help of analyzing data.A lot of effort is involved to work on data projects. Companies pay well to Data scientists. On an average in Mumbai, average pay is 8L to 10L.

Data Science Course fees in Mumbai with Placement

Mumbai;" The city of dreams". Earlier it was known as Bombay until 1995 , and it is the Capital city of state Maharashtra.Mumbai is entertainment hub and financial capital of Our country India as most of the billionaires live here. Everyone knows why Amchi Mumbai is famous for; Vada pav and Ganesha utsav. It is the fashion powerhouse of the country and Asia's largest slum- Dharavi is also located here. Mumbai lies on the Konkan coast of India by the bank of Arabian sea and borders divided like Bandra in the north, Powai hills present in the same direction as Bandra and the Mahim in the south The Mumbai is 603.4 square kilometers in size (233.0 sq mi). The Mumbai has a population of about 23 million people per the 2011 census.Here are popular attractions in Mumbai:

Frequently Asked Questions

Data science courses are well designed according to the needs of regular industrial requirements. Data trained presents an idea of a full-time, open, and distance learning program, the institute were constituted to give distance learning opportunities. This Data science course fees in Mumbai often offer scholarships so fill out the form and enquire about scholarships. This completely depends upon the specialization, duration, and package you picked for learning. This is the most affordable course, specially created budget friendly so that money can’t become a barrier to choose this.

In India, there are many data science institutes that provide proper guidance to students to achieve success, to build a strong career in data science. They also provide students with the best material for data science but Data Trained is one that guarantees you 100% placement. Data Trained’s PG programmes of data science collaborated with . The complete development of courses is done by our leading industry specialist working as a data scientist for several years.

The course duration is 12 months including a well-organized study of hand-on learning and conceptual learning which covers primary to secondary levels. Here, Students will get a chance to participate in real-time industry projects within 6 months of the internship program.

DataTrained as the best data science institute in Mumbai focus on their students to become master of concepts.

Data science training in Mumbai starts with assisting you to build strong career aspirations and supporting our students by guiding them to work on Kaggle so their resume looks ambitious with participation in real-time industry projects under the guidance of our industry specialist which helps them to make their resume competitive. Data Trained primarily focuses on withdrawing, collecting, and ensuring the quality of data, and the ability for making better decisions, or resolving the problem. Data Trained provides quick query resolution for that analytics confusion that can’t be solved by Data statistics.

Data science is one of the most widespread professions. Nowadays it's become a trend to change their profession into Data scientist or Data analyst. Becoming Data scientist Data trained brings a PG program in which you can learn languages, skills, techniques and modern technology to get enroll in this program you just need to follow 3 procedures which are-

  1. If you have confused then fill out our query form, our counselors will call you to resolve your query, and will explain your eligibility.
  2. Our team will examine your profile. If you get successfully qualified you will get an email about admission confirmation.
  3. Then, you can register your seat in our program by paying admission fees. And you're ready for the preparation course and the Data Science journey will start from there.

The best data science institute in Mumbai; is Data Trained where data is assembled, distilled, classified, and then envisaged to discover the unseen standard. Data trained’s PG program in collaboration with will provide you with an insightful view of Data science tools and techniques that will play a greater role to excel you in the Data scientist journey. Data Trained primarily focuses on withdrawing, collecting, and ensuring the quality of data, ability for making better decisions or resolving problems. Data trained ensure that their students become master in their field for that give you a chance to be a member of a leading industry project through their 6 months internship program.

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.