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PG Course in Data Analytics, Data Science, Machine Learning & Neural Networks 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 in Mumbai with Placement Guarantee

In Curriculum

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Get ready to be a certified professional in data analytics with our Data Analytics courses in Mumbai by deep learning in data Analytics with ML models, Predicting and Forecasting Models, Visualization, NLP, and lots more to learn. A 100% placement guarantees online learning courses.

In Collaboration With
  • NASSCOM
    in
    Mumbai
  • nasscom data analyst course in mumbai

29 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 Analytics Courses in Mumbai

DataTrained offers the Best Data Analytics Courses 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 this Data Analytics Courses in Mumbai with Placement. Also with the most affordable Data Analytics Courses in Mumbai fees structure. DataTrained is regarded as the best Data Analytics Training Institute in Mumbai which offers services from training to placement guarantee. DataTrained imparts the Best Data Analytics Courses in Mumbai with placement guarantee. Enroll Now, to start your career with this Data Analytics Courses in Mumbai with placement guarantee.

Key Highlights

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

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 160000
    • Learners - data analyst course in mumbai
    • Learners - data analyst course in mumbai
    • Learners - data analyst course in mumbai
    • Learners - data analyst course in mumbai
    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 analyst course in mumbai
  • Python - data analyst course in mumbai
  • Tableau - data analyst course in mumbai
  • NLP - data analyst course in mumbai
  • SQL server - data analyst course in mumbai

What's the focus of these Data Analytics courses in Mumbai with placement?

Students have a choice to select from 5 uniquely designed specializations, industry expert mentors' advice, live projects and case studies, an internship of six months, career support, and more than you can imagine with this Data Analytics courses in Mumbai. We keep the fee structure very simple, and possible for everyone to afford it.

5 Unique Specializations - data analyst course in mumbai

5 Unique Specializations

From the five demanding specializations, students can select the one that suits their profile and requirement. Get a professional certificate in ANN and Machine Learning, data analytics, and data science in collaboration with , India.

Dedicated Career Assistance - data analyst course in mumbai

Dedicated Career Assistance

Our hiring managers provide periodic mock interviews, and you get career counseling sessions from industry professionals in a 1:1 ratio. Uplift your career path with the help of our more than 400 hiring partners from different industries.

Student Support - data analyst course in mumbai

Students Support

Students can resolve their queries from our chat system, which is open from 06 AM to 11 PM IST. We are ready to help Program Managers on chat or call, and we also provide a user-friendly ticket-raising system that works 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

Get exposed to real-life industry projects and learn from them with support from the top companies in the industry. This Data Analytics courses in Mumbai provides an affordable fee structure and great learning.

  • Learn from joint projects by working on them with companions - data analyst course in mumbaiLearn from joint projects by working on them with companions.
  • For better understanding and fast learning - data analyst course in mumbaiFor better understanding and fast learning, get mentorship from industry experts.
  • subjective feedback personally - data analyst course in mumbaiTo improve your submissions, get regular subjective feedback personally.
Smartphone and Smartwatch Activity - data analyst course in mumbai

Smartphone and The Smartwatch Activity

The smartwatch and smartphone collect the information from crude accelerometers and whirligig sensors at 20-hertz speed.

Recommendation System - data analyst course in mumbai

Recommendation System

Organizations recommend their services and products to the connected world by using them.

Air Quality Study - data analyst course in mumbai

Air Quality Study

Data gathered from the Meteorological department helps predict air quality in different parts of Mumbai.

Why Choose DataTrained For a Data Analytics Courses In Mumbai with Placement?

DataTrained is here to feed you with the best Data Analytics courses in Mumbai with a placement that is 100% sure. Our program, with collaborations with and other industry experts working in top companies with many years of experience, is developed systematically to meet industry standards. The course is of 12 months duration covering all theoretical and practical learning with all the basic and advanced level concepts of the Data Analytics courses in Mumbai with placement assured.

Tie your belts by booking your seat and enroll today to get the benefits of the Data Analytics courses in Mumbai.

Internship - data analyst course in mumbai

We provide an internship of 6 months with the data analytics courses in Mumbai that categorizes graduate students as experienced professionals, not as fresher. DataTrained also provides an opportunity for working professionals to choose online internships.

Resume Feedback - data analyst course in mumbai

DataTrained by shaking hands with IIM jobs for the best Data Analytics courses in Mumbai provides access to their payable resume building kit and also individual feedback from the HR team. On the basis of the candidate's experience, our experts prepare a personal career profile to ensure that the candidate is ready to be a Data Analytics.

Interview Preparation - data analyst course in mumbai

Each student gets guidance and personal support with technical interviews and regular mock HR by the mentors. To make students' resumes professional and competitive, mentors help students to make and take projects on Kaggle.

Placement - data analyst course in mumbai

DataTrained creates students' ability scores, passed to our recruitment partner organization of more than 400. We create compass recruitment every three months to make students get placed in the best organizations.

Career Impact

We provide the best Data Analytics courses in Mumbai in collaboration with . We turned the career of over 150,000+, and the counting is still on.

This course helps me in every sense to be a Data Scientist. Training starts with an example to make things easy and supports using real industry data sets to generate algorithms. DataTrained gives power to e-learning, highly supportive and dedicated mentors, six-month internships, live sessions, and counseling.

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

While scrolling FB, I found an ad from DataTrained and connected them to learn about an online Data Analytics courses in Mumbai. The counselor provided complete information on Data Analytics and Data Science and what they offer. I communicated with them for a week and got sure about the course. Now I know where to use my hard work and money.

Rakshit Jain, Data Scientist, Optum - data analyst course in mumbai
Rakshit Jain Data Scientist, Optum

The program is a complete package of weekend live sessions, pre-recorded classes, and the hard copy of notes they provide me to my address. Amit Kaushik, my mentor, helps me with my assignments and boosts me at every step. Now I am confident enough to screw the Glenmark interview as my course is about to finish. DataTrained, Thank you.

Rupam Kumar Chaurasia, Head Sales, Glenmark - data analyst course in mumbai
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - data analyst course in mumbai 66%

Average Salary Hike

Upto 25LPA Highest Salary - data analyst course in mumbai Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - data analyst course in mumbai 7k+

Jobs Sourced

950+ Hiring Partners  - data analyst course in mumbai 950+

Hiring Partners

Admission Process

Follow these below described three simple steps for the admission process:

Step 1: Fill in a Query Form

To start the process, fill out the Query form, after which you will get a call from our counselors to make you understand the data Analytics courses in Mumbai. Once you fill out the Query Form, one of the counselors will call you & understand your data analytics courses in Mumbai eligibility.

Step 2: Get Shortlisted and Receive a Call

Our admission team will review your profile, and once you are eligible, you will get a confirmation email for enrolling in the data analytics courses in Mumbai.

Step 3: Book your Seat and Start the Prep Course

Finish the admission process with payment and reserve your seat. Prepare yourself by starting with a prep course and begin your Data Analytics journey.

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

data analyst course in mumbai 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 Analytics Trends in Mumbai

Data Analytics is the highest paid and most demanding job of IT. There is a large amount of data everywhere and industry needs its experts to structure them and filter out the required ones. The data analytics courses in Mumbai comes with a guaranteed placement that can help you in getting the most reputed career in this 21st century.

There is always a high demand for data analytics in Mumbai with high salary pay and upward career growth. These 2022 and coming years are attractive for the teams and businesses opting for data analytics.

Jobs/Vacancies in the field of Data Analytics in Mumbai

India is the second largest center for data analytics after the USA in the world due to rapid digitization and upskill workforce. There are more than 40,000 data analytics jobs in India by August 2021.

There is a 30.1% increase in jobs for Data Analytics in April 2022 compared to April 2022. The salary of Data Analytics in Mumbai as per 1041 salaries on GlassDoor. Mumbai is among the top cities in India for data analytics courses. Freshers also come with a very good amount of salary and job opportunities as data analysts. This transformation of Data Analytics is excellent and intelligent to bring more significant comparative returns.

Salary in Mumbai for Data Analytics Professionals

The average salary of data analytics lies between ₹1.6 lakhs- ₹8.8 lakhs with an average yearly salary of ₹3.8 lakhs. The salary is estimated by the data shared by 3k salaries. After a PG certificate, you will see a hike of 26% in your yearly salary easily and anywhere.

Give only 4 to 5 hours weekly to master data analytics, which comprises both data science and ML and get multiple returns in the future, and it will definitely extend your career boundaries.

Data Analytics Courses in Mumbai with Placement

Mumbai, or film city, a financial city of India, is highly populated with a population of around 23 million, making it the 8th largely populated city in the world. It is a metro city in India, among three other cities. Mumbai is a hub of jobs and opportunities. It is surrounded by the Arabian sea. It has the world-famous Taj Hotel, which adds stars to its beauty. Mumbai is the capital of Maharashtra, with an area of around 603.4 square km. It is a residential place for many famous personalities and Bollywood celebrities. The city is known for its beautiful and famous attractions like:

Frequently Asked Questions

DataTrained is one of the best institutes for Data Analytics courses in Mumbai. DataTrained developed the Data Analytics course by collaborating with and other industry experts. The system is well-structured and guarantees you 100% placement. The course is for a 12 months period, which is small enough compared to the profits you will earn in your career after completing the Data Analytics courses in Mumbai. The key highlights of the study are:

  • Live sessions.
  • Industry expert mentor support.
  • Six months internship plus you can choose to work with working professionals.
  • Parallel learning of both practical and theoretical concepts
  • A supporting team to resolve queries at any point.
  • Well-structured and effectively designed course.
  • Resume building.

No, you need not worry about this. Suppose you are from a non-technical background or have no coding exposure. In that case, you can also become a Data Analyst by learning the concepts with python or R programming languages.

Python is an elementary and easy-to-learn programming language that does not demand programming knowledge. DataTrained will help you understand the concepts of data analytics through data analytics courses in Mumbai at every step and will remain in your journey until you get placed in a top organization.

Yes, you can become a data scientist from a Data analytics courses in Mumbai. There is a difference between a data scientist and data analytics. Let me help you to differentiate them.

Data analytics visualize and analyze the data for use, whereas data scientists use algorithms and formulas to find new ways to use the data for analysis.

To become a data scientist with the Data Analytics courses in Mumbai, you only need to upgrade yourself with some new technologies and tools.

DataTrained provides a 100% placement guarantee Data Analytics courses in Mumbai. We changed the career of 150,000+ students, and the counting is still on. Top industry experts and working professionals will design the Data Analytics courses in Mumbai. It helps you upskill and acquire the highest demanding job of this era. The Data Analytics courses in Mumbai will help you by providing:

  • Four unique specializations
  • Working knowledge of python, R, and whatever you choose.
  • Teaching and learning with a dedicated team of experts.
  • collaboration.
  • 12-month duration.
  • Online learning mode.
  • Working on live projects.

The duration of the Data analytics courses in Mumbai is only 12 months. The data analytics courses in Mumbai demand only 4-5 hours a week, and this short time will help you in a big way in the future when you become an experienced professional because we, DataTrained, provide a live six-month internship so that our students are not fresher when they expose themselves to the IT industry. The course guaranteed 100% placement. We have an extensive recruitment team and conduct campus recruitment every three months. Join our data Analytics courses in Mumbai, and contact us.

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.