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PG Course in Data Analytics, Data Science, Machine Learning & Neural Networks in India in collaboration with

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

Data Analytics Courses in India with Placement Guarantee

In Curriculum

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Designate yourself as a certified Data Analytics professional with these dedicated Data Analytics courses in India by learning the concepts of Data Analytics combined with ML models, predicting models, forecasting, Visualization, Deep learning, Natural Language Processing, and many other vital ideas. These Data Analytics courses in India assure you 100% guaranteed placement.

In Collaboration With
  • NASSCOM
    in
    India
  • nasscom data analytics courses in india

19 Jul, 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 India

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

Key Highlights

  • 6 Months of rigorous Internship - data analytics courses in india6 Months of rigorous Internship
  • One-on-One interaction with Industry Mentors - data analytics courses in indiaOne-on-One interaction with Industry Mentors
  • 100% Placement guarantee - data analytics courses in india100% Placement guarantee
  • 40+ Live Projects along with Case Studies - data analytics courses in india40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager - data analytics courses in indiaDedicated Career Program Manager
  • 360 Degree Career Guidance - data analytics courses in india360 Degree Career Guidance
  • Ideal for both Fresh Graduates - data analytics courses in indiaIdeal for both Fresh Graduates & Working Professionals
  • Unique Specializations - data analytics courses in indiaUnique Specializations to choose from
  • Prompt Query Resolution - data analytics courses in indiaPrompt Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 160000
    • Learners - data analytics courses in india
    • Learners - data analytics courses in india
    • Learners - data analytics courses in india
    • Learners - data analytics courses in india
    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 analytics courses in india
  • Python - data analytics courses in india
  • Tableau - data analytics courses in india
  • NLP - data analytics courses in india
  • SQL server - data analytics courses in india

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

The Data Analytics courses in India are available with five uniquely designed specializations, case studies with project dealing, learning 14+ programming tools and languages, industry expert mentors, six months of internships, career support, and a long list. These master in data analytics courses in India aim to offer the best learning with pocket-friendly admission fees.

5 Unique Specializations - data analytics courses in india

5 Unique Specializations

Students can select among the five unique specializations that are designed as per the requirements of the students according to their professional needs and academic background. On completing the course, students will get an executive certificate in data analytics, data science, NN, and ML with our partner in India.

Dedicated Career Assistance - data analytics courses in india

Dedicated Career Assistance

Get an opportunity to get 1:1 career counseling sessions and timely mock interviews with industry experts. Our 950+ hiring partners from different industries will help you to boost your career.

Student Support - data analytics courses in india

Students Support

Students can resolve their queries instantly with our supporting team from 06 AM to 11 PM IST. You can also contact our program managers through call or chat, and we also provide a ticket-raising system during working hours of the company.

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

Students will learn by getting practical exposure through real-life industry projects with the support and help from the best companies across the globe and the affordable fee structure. The main highlights of the Data Analytics courses in India are:

  • working projects by involving - data analytics courses in indiaLearn from the working projects by involving in them with your companions.
  • Industry professionals mentor for better learning - data analytics courses in indiaIndustry professionals mentor for better learning.
  • Improvement by individual subjective feedback - data analytics courses in indiaImprovement by individual subjective feedback for the work you submit.
Smartphone and Smartwatch Activity - data analytics courses in india

Smartphone and The Smartwatch Activity

Smartwatches & cell phones collect information from crude accelerometers and whirling sensors at a pace of 20 hertz.

Recommendation System - data analytics courses in india

Recommendation System

Organizations used to recommend their services and products to the people of a highly connected world.

Air Quality Study - data analytics courses in india

Air Quality Study

Predicting the quality of air in various parts of the country as the data gathered from the Meteorological Department.

Why Choose DataTrained for Data Analytics Courses In India with Placement?

DataTrained comes up with the most affordable, structured, and high output generated Data analytics courses in India With a 100% placement guarantee, that is, PG program in Data Analytics, ANN, and ML learnings. The course was developed jointly by and the data scientists working in India's top companies with multiple years of experience. The Data Analytics courses in India meet the standards of the International industry. The course is of 12 months, which helps in an effective balance of theoretical and practical learning and covers all concepts from fundamental to advanced levels.

Enroll now to enjoy the benefits of these Data Analytics courses in India with a 100% placement guarantee.

Internship - data analytics courses in india

The data analytics courses in India are embedded with an internship of six months so that you are an experienced graduate data analytics professional when they face an interview. You can also choose from online training with working professionals.

Resume Feedback - data analytics courses in india

DataTrained has top partners like IIM jobs for these Data Analytics courses in India, which facilitates students to access their paid resume preparation kit and feedback from industry experts. According to their experience, ensure students are ready for the industry; a Data analyst and an expert team design an individual career profile.

Interview Preparation - data analytics courses in india

Prepare students for the interview through regular mock HR interviews, mentors' technical interviews, and support and guidance. To make resumes look more professional and competitive with the other candidates, students and their mentors facilitate projects on Kaggle.

Placement - data analytics courses in india

DataTrained organizes campus recruitment every three months for students to be in top companies. We prepare a student's ability score for each student and forward it to our 950+ recruitment partner organization.

Career Impact

DataTrained, in collaboration with , provides the best online Data Analytics courses in India. They changed the careers of more than 150,000 and are not stoppable.

DataTrained helped me gain the skills and knowledge to be a data scientist. They started the training with examples to make things easy and also stood by to create algorithms using real industry data sets. DataTrained boosted the online learning culture and committed mentors, six-month internships, and live sessions.

Aaruni Khare, Data Scientist, RBS - data analytics courses in india
Aruni Khare Data Scientist, RBS

While scrolling FaceBook, I saw a DataTrained advertisement, and I immediately connected to them to enquire about Data analytics courses in India. The counselor assisted me and explained the whole data analytics journey and what they provide in the classes. After a continued conversation of around a week, I got assured about the course and knew where to use my money and hard work.

Rakshit Jain, Data Scientist, Optum - data analytics courses in india
Rakshit Jain Data Scientist, Optum

The program is a correct combination of weekend classes, pre-recorded classes, and sending hardcopy to my address. My mentor, Amit Kaushik, helped me finish all the assignments timely and acquire confidence. I have almost completed my course and succeeded in the Glenmark interview. Thank You DataTrained.

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

Average Salary Hike

Upto 25LPA Highest Salary - data analytics courses in india Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - data analytics courses in india 7k+

Jobs Sourced

950+ Hiring Partners  - data analytics courses in india 950+

Hiring Partners

Admission Process

Three easy steps to follow for the admission process as given below:

Step 1: Fill in a Query Form

Please fill the query form; after this, our counselors will call you to understand your eligibility for Data Analytics courses in India.

Step 2: Get Shortlisted and Receive a Call

A confirmation email will be dropped to you when your reviewed profile by our Admission team qualifies for the courses.

Step 3: Block your Seat and Start the Prep Course

To register for the program, complete the process with payment. Begin your Data Analytics journey by starting with the prep course.

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

data analytics courses in india fees

I’m interested in this program

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 India

The revolution in the data analytics industry for businesses is remarkable and cannot be ignored. The year 2021 saw a growth of 26.5% year on year in the data analytics business, and this market will expand by $40.44 bn by 2022. India is a pool of talented employees, and this growth in the market of data analytics is helpful for India to acquire a remarkable position in advanced technology. The Indian companies spent nearly $2 bn, with a growth of 11.5% in 2022 as per IBESF. There are immense opportunities for India in Data Analytics.

Jobs/Vacancies in the field of Data Analytics in India

With digitization and online learning, India is in the race to produce advanced technology professionals. After the USA, India is the biggest country for IT technologies and services. There are around 174.9k open jobs available in India for data analytics or data scientist as of April 2022. This number is increasing daily due to the high demand for Data Analysts. There is a 30.1% increase in data analytics/ data scientists vacancies compared to April 2021.

From the pandemic period from March 2020 to April 2022, there is an increase of 73.5% in the vacancies of Data Analysts, and this increase is an excellent sign for the Indian market and Data Analysts.

These jobs are vacant from fresher to experienced data scientists or data analysts, so grab the opportunity by enrolling in the Data Analytics courses in India at DataTrained.

Salary in India for Data Analytics Professionals

There are no bars on the highest salary for data analysts in India as it is the highest paying job working in top MNCs and organizations. The wages of the Data Analysts lie in the range of ₹1.9 lakhs to ₹11.3 lakhs, with an average salary of ₹4.3 lakhs. As per Ambition Box, these salary estimates per 39.6k salary data reviews in India.

For such a lucrative job and secure future, you only need to spend 4-5 hours weekly learning Data Analytics courses in India. A small investment is far better than working the whole day and night.

The Data Analytics courses in India provide 100% placement with an affordable fee structure.

Data Analytics Courses in India with Placement

India is a united country with diversity. The capital of India is Delhi, which lies in the heart of India. It is the largest Asian country with immense potential and an extensive IT market. India is the second largest populated country. The talented working force of India is showing their intelligence around the world with highly qualified professionals in every field. The eye-catching beauty of India can be enhanced with its four significant weather conditions, and enjoy the sea, waterfall, ice, mountains, desserts, and everything. India's most important IT cities are Banglore, Pune, Noida, and Gurgaon. List of important cities of India.

Frequently Asked Questions

DataTrained provides the best PG course through Data Analytics courses in India with a 100% placement guarantee and affordable fees. The Data Analytics courses in India comprise the following key points:

  • Live sessions
  • Online learning
  • Six months internship
  • Supportive industry expert mentors
  • Four unique specializations
  • 4-5 hours of learning in a week
  • Affordable fee structure

The Data Analytics courses in India help to understand all fundamental and advanced concepts of ML and statistics. You will learn the concepts of:

  • Supervised Learning
  • Ensemble Techniques
  • Unsupervised Machine Learning
  • Advanced Techniques
  • Time Series Analysis
  • Recommendation Engine

These courses are the right choice to be in the highly demanding and highly paid profession.

India is the biggest supplier of highly qualified professionals, and online learning is growing fast after the pandemic. DataTrained provides the best Data Analytics courses in India. DataTrained, in collaboration with and other industry experts, developed the best data analytics courses in India.

The structure of the Data Analytics courses in India is so managed and systematic that students can easily understand the complex concepts of machine learning and Artificial Neural networks. We provide industry expert mentorship to each student who helps and supports in understanding the practical and theoretical concepts.

The Data Analytics courses in India start with two foundation courses of statistics and coding to make the remaining journey easy. DataTrained ensures students a 100% placement guarantee and provides an affordable fee structure. Candidates can choose between:

  • Business Analytics with Tableau
  • Deep Learning with Computer Vision
  • Deep Learning with NLP
  • Deep Learning with R

DataTrained provides recorded classes and a 24x7 support system to resolve queries. We also help candidates through a six-month internship which can be online with the working professionals.

Yes, you need to have coding knowledge for Data Analytics courses in India, but you need not worry if you are a non-coder. DataTrained will help you in every sense. Our experts integrated the Data Analytics courses in India with python or R programming languages that are very easy to learn and understand. Python is one of the most accessible programs to learn, just like English, due to its simple syntax, a vast library, and few rules.

You only need to focus on understanding the concepts of Machine Learning and data analytics concepts. A true zeal and determination are enough to win any battle, and we are always there for you to help you learn and become an industry-ready Data Analyst.

Yes, you can become a professional data scientist in India's Data Analytics courses. The only requirement in the whole process is your dedication and determination to learn. The Data Analytics courses in India are well structured and developed in collaboration with and other top industry experts.

The system has four unique elective specializations and six-month industry exposure by internship. Supportive industry experts and mentors for each student help make the journey of becoming g data Analytics professional easy. We have a query resolution system through calls or chats. The highlights of the data analytics courses in India are:

  • Live sessions
  • Easy Online learning as per your needs
  • Six months internship
  • Supportive industry expert mentors.
  • Four unique specializations.
  • 4-5 hours of learning in a week.
  • Affordable fee structure

DataTrained has wholly turned the career of more than 40k students and is still counting. Exclusively designed data analytics courses in India help students become data scientists or analysts. Data Analytics courses in India guarantee 100% placement and an affordable fee structure.

The data analytics courses in India with placement are best because they guarantee 100% placement and an affordable fee structure. We have 950+ recruitment partners to help students in the recruitment process, plus we organize campus drives every three months.

In collaboration with IIM jobs, students can access their paid resume preparation kit, and we also prepare professional resumes for students by generating individual scorecards per experience. Data Analytics courses in India are best for placement due to the following points:

  • Interview Preparation
  • Resume feedback
  • Six months internship to make students experienced candidates for the industry
  • Placements through campus drive and collaborations partners

You can relax about placement because we guarantee 100% placement. You just enroll in these Data Analytics courses in India, start learning from the base to the advanced level, and get your high-paid dream job in one of the top organizations.

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.