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

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

Best Data Science Course Chennai with Placement Guarantee

In Curriculum

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Become an industry-ready Data Science professional with this exclusive Data Science Course Chennai by immersive learning of Visualization, Data Analysis with Machine Learning models, Deep Learning, Forecasting and predicting Models, NLP, & more with a 100% placement guarantee course in Chennai.

In Collaboration With
  • NASSCOM
    in
    chennai
  • nasscom data science course chennai

1 Mar, 2024

Next Batch
starts on

12 Months

Recommended
20-22 hrs/week

6 Months

Live
Internship

Online

Learning
Format

6000+

Career
Transformed

950+

Hiring
Partners

Course Description

Data Science Course in Chennai

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

Key Highlights

  • 6 Months of rigorous Internship - data science course chennai6 Months of rigorous Internship
  • One-on-One interaction with Industry Mentors - data science course chennaiOne-on-One interaction with Industry Mentors
  • 100% Placement guarantee - data science course chennai100% Placement guarantee
  • 40+ Live Projects along with Case Studies - data science course chennai40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager - data science course chennaiDedicated Career Program Manager
  • 360 Degree Career Guidance - data science course chennai360 Degree Career Guidance
  • Ideal for both Fresh Graduates - data science course chennaiIdeal for both Fresh Graduates & Working Professionals
  • Unique Specializations to choose from - data science course chennaiUnique Specializations to choose from
  • Prompt Query Resolution - data science course chennaiPrompt Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

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

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

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

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

Languages and Tools covered.

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

What's the focus of this Data Science Course Chennai with placement?

Select from five Unique specializations, learn 14+ programming tools & languages,6 months of live internship, Live case studies and projects, get mentorship from industry experts, dedicated career support, & much more with the best Masters in data science in Chennai. The focus is also to offer the most affordable Masters in Data Science course Chennai fee structure.

5 Unique Specializations - data science course chennai

5 Unique Specializations

Get a chance to select from five unique specializations as per your career aspirations along with your academic background. Obtain a Certification In Data Science, ML & Neural Networks In Collaboration With in Chennai.

Dedicated Career Assistance - data science course chennai

Dedicated Career Assistance

Get an opportunity to receive one-to-one career counseling sessions from experts and regular mock interviews with hiring managers. It will Boost your career with our 950+ hiring partners from different industry domains.

Student Support - data science course chennai

Students Support

Chat support for students is open between 06 AM and 11 PM IST for instant Query or resolution. Our Program Managers (PM) are available on call or chat, and you can also use our user-friendly ticket-raising system within company hours.

Instructors

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

Dr. Deepika Sharma - Training Head, DataTrained

Dr. Deepika Sharma

Training Head, DataTrained

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

Shankargouda Tegginmani - Data Scientist, Accenture

Shankargouda Tegginmani

Data Scientist, Accenture

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

Andrew Labeodan - Data Scientist, Centrica

Andrew Labeodan

Data Scientist, Centrica

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

Adedolapo Ogunlade - Data Scientist at Kaggle

Adedolapo Ogunlade

Data Scientist at Kaggle

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

Gifty Aiyegbeni - Data Scientist at Bincom Global

Gifty Aiyegbeni

Data Scientist at Bincom Global

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

Ioannis Petridis - Data Scientist at KLDiscovery

Ioannis Petridis

Data Scientist at KLDiscovery

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

Data Science Course Syllabus

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

best data science courses online

Detailed Syllabus of Data Science Course

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

    Hours of Content

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

    Live Sessions

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

    Tools and Software

Comprehensive Curriculum

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

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

Hours of Content

80+ Live Sessions - data science online training
80+

Live Sessions

15 Tools and Software - best tools for data science
15

Tools and Software

Set the Basics Right

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

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

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

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

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

Foundations

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

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

Python Basics

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

Anaconda Installation - Jupyter notebook operation

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

Python functions, packages and other modules

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

NumPy, Pandas, Visualization tools

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

Working with various data structures in Python, Pandas, Numpy

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

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

Descriptive Statistics

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

Inferential Statistics

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

Probability & Conditional Probability

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

Hypothesis Testing

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

Machine Learning

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

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

Linear Regression - Simple, Multiple regression

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

Logistic regression

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

K-NN classification

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

Support vector machines

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

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

Decision Trees

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

Random Forests

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

Bagging and Boosting

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

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

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

K-means clustering

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

Hierarchical clustering

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

Principal Component Analysis

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

DBSCAN

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

Advanced Techniques

EDA - Part1

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

EDA - Part2

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

Feature Engineering

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

Feature Selection

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

Model building techniques

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

Model Tuning techniques

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

Building Pipeline

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

Time Series Analysis

Introduction

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

Time Series Components

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

Stationarity

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

Time Series Models

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

Model Evaluation

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

Use Case and Assignment

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

Projects

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

Recommendation Engine

Introduction

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

Understanding the relationship

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

Types of Data in RS

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

Ratings in RS

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

Similarity and Its Measures

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

Types of Recommendation Engine

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

Evaluation Metrics in Recommendation

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

Use cases

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

ChatGpt Essentials

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

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

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

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

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

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

Understand and learn to build a GNN model.

In depth understanding of advanced GNN.

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

Electives

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

Deep Learning with Computer Vision

  • Deep Learning
  • Computer Vision

Deep Learning with NLP

  • Deep Learning
  • Deep NLP

Business Analytics with R

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

Business Analytics with Tableau

  • Business Analytics with Tableau
  • Business Analytics with Advanced Excel

Business Analytics with Power BI

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

Industry Projects Offered

Learn through the real-life inspired industry projects supported by top companies across different industries and the most exclusive data science course Chennai fee structure.

  • Engage in joint projects and learn from your batchmates - data science course chennaiEngage in joint projects and learn from your batchmates
  • Get mentored by industry professionals to learn and apply better - data science course chennaiGet mentored by industry professionals to learn and apply better
  • Personalized and subjective feedback - data science course chennaiPersonalized and subjective feedback for your submissions to facilitate improvement
Smartphone and Smartwatch Activity - data science course chennai

Smartphone and The Smartwatch Activity

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

Recommendation System - data science course chennai

Recommendation System

Organizations must be used to recommend their Products and Services to People all around the world.

Air Quality Study - data science course chennai

Air Quality Study

It is established on the basis of data collected from the Department of Meteorological. It will help to forecast the quality of air from different sections of the country.

Why Choose DataTrained For A Data Science Course Chennai with Placement?

DataTrained is providing the most exclusive and best Data Science course Chennai with a 100% guaranteed placement, i.e., the Post Graduate Program in Data Science, Neural Networks, and Machine Learning. Top Data Scientists have developed the Program from and industry experts working in the data science companies of Chennai for several decades, and the course curriculum is at par with the international industry standards. The program duration is 12 months, which perfectly balances practical and theoretical learning, and covers everything from the basics to advanced levels of the Data Science course Chennai with placement across Chennai.

You Can enroll today in the Best Data Science course Chennai with placement.

Internship - data science course chennai

With the Data Science course Chennai, Datatrained offers a six months internship to ensure that students will graduate 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 chennai

Datatrained has collaborated with IIMJobs for the Top Data science course Chennai, which offers you access to their resume preparation kit and personal feedback from experts from the domain of HR. Our experts prepare an individual career profile as per the candidate's experience to ensure it is relevant to a data science role.

Interview Preparation - data science course chennai

Regular mocks HR along with technical interviews by mentors with personal support and guidance to each and every student. The industry mentors will facilitate students to take projects on Kaggle so that their C.V looks competitive and professional to the recruiters.

Placement - data science course chennai

We generate the Ability Score of each student, which is then sent to our 950+ recruitment partner organizations. We arrange campus recruitments every 3 months to place our students in the best organizations all around.

Career Impact

DataTrained, in collaboration with , always delivers the best online Data Science course Chennai. Over 150,000+ Careers have been transformed now and counting.

DataTrained has supported me with the critical knowledge and skills required for a data scientist position. The trainer often starts with an example to make us familiar with the concepts and then helps us to build the Algorithms with the real industry data sets. DataTrained offers the power of online learning and dedicated Mentorship, Live Sessions, Counseling, and six months Internships.

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

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

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

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

Average Salary Hike

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

Highest Salary

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

Jobs Sourced

950+ Hiring Partners  - data science course chennai 950+

Hiring Partners

Admission Process

There are 3 simple steps for admission. They are as follows

Step 1: Fill in a Query Form

Fill up the Query Form, and one of our counselors will call you & understand your need for a data science course.

Step 2: Get Shortlisted and Receive a Call

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

Step 3: Book your Seat and Start the Prep Course

Book your seat with the payment to register in the program and start with your Prep course and start your Data Science journey!

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

data science course chennai fees

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What's Included in the Price

Placements

Access to real-life 40 industry projects

6 Months online Internship part of the core curriculum

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Data Science Trends in Chennai

The latest trends in data science suggest that a new point of view is taking shape. Data is no longer a science reserved only for a select group of specialists. Still, it has become an invaluable opportunity for every professional within a business to improve and refine their practice. A data science course in Chennai with placement can help in assisting you with a rewarding career in the 21st century.

There has been a significant increase in demand for data scientists in Chennai at an all-time high, which will result in an inclined career and generous pay from companies. 2022 and the next few years will be fascinating for businesses and teams who seek to adopt Data Science as a career option.

Jobs/Vacancies in the field of Data Science in Chennai

India is witnessing rapid changes in the digitization of businesses and services, which makes it the world's 2nd largest site for data science and around 93,000 jobs in Data Science were vacant and unfilled in India by the end of August 2021.

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

For the 5th time in a row, Chennai became one of the top cities in India for a data science course Chennai. Data Scientist Salary in Chennai based on 597 salaries on AmbitionBox. 70% of these vacancies were for those who had experience below 5 years. Transitioning comp to data science is smart as it fetches far higher comparative returns.

Salary in Chennai for Data Science Professionals

Data Scientist salary in Chennai ranges from ₹4 Lakhs to ₹22.1 Lakhs, with an average annual salary of ₹10.4 Lakhs. When you earn one of your PG certificates, you can expect a 13 to 25% hike in your yearly salary.

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

Data Science Course Chennai with Placement

Officially referred to as Chennai. Chennai is a city in India that is the abode of Tamil Nadu, Chennai shares its borders with states like Andhra Pradesh to the north, Kerala to the west and Karnataka to the northwest, and the Indian Ocean to the east and south The City Chennai is 1,189 kms (459.07 sq mi) in size. The City has a population of 4,646,732; its urban / metropolitan population is 8,653,521 of which 4,358,612 are males and 4,294,909 are females, per the 2011 census. Here are some popular attractions in Chennai:

Frequently Asked Questions

To be a data scientist, you must have that zest and zeal for learning data science. A data science course Chennai helps you to get started in this domain. In collaboration with and you can become a data scientist in Chennai with our PG Program in Data Science and machine learning.

This is one of the best data science course Chennai that is online and has like 6 months of live internship, interaction with leading industry experts, a 100% Placement Guarantee, and much more. Connect directly with us to learn more about the best institute for a data science course in Chennai.

Yes, Data science does require basic coding skills but you don't need to be an expert-level coder. Python is the most standard programming language used in data science, and Learning Python is just like learning the English language.

In many cases, you don't even require to write a single code since there are so many interfaces like google AutoML. Another benefit of python is that so many libraries are available, so you don't have to write codes. Do not worry about coding. Thus, the focus will be on learning data science concepts and their applications. So, your coding knowledge doesn't matter much except your interest in data science is what matters.

Yes, It is a great career option it has revolutionized business growth over time. You can even use it in other areas like marketing and sales to increase your business’s revenue. There are various benefits of data science and reasons why you shouldn’t ignore its use in your business.

Let’s have a look…

Business Intelligence

Data scientists can collaborate with professionals of RPA to identify various data science services in their business and then develop dashboards that search all of this data in real-time in an integrated way. This intelligence will allow making faster, more accurate, and more precise decisions.

Helps in Sales & Marketing

If you are working with a data science company, they will use a combination of data from various sources and will help to provide more precise insights for your teams. Imagine obtaining the complete customer journey map which includes all touchpoints of the customers with your brand. Thus, Data Science services make this imagination a reality

Improves Business Predictions

The data science services provide the use of cutting-edge technology such as artificial intelligence and machine learning which will help to analyze your company’s data and make future decisions that will work. When utilized to full potential, predictive data allows you to make better decisions for business

Our top data science course in Chennai provides 80+ hours of live sessions 300+ hours of content and more than 15 tools & software. You will get the opportunity to learn from industry masters as they will help you understand the applications and clear your doubts. Six Months internship ensures that you graduate as an experienced data science professional rather than a fresher. You can become a data scientist in Chennai by enrolling in the best institute for a data science course. Online data science course Chennai comes with a lot of pros:

  • Flexibility in Time slots
  • Upskilling in career
  • It helps you to learn at your own pace
  • Less commute
  • Affordable fees
  • Study with the job for working professionals

Our main mission at DataTrained is to provide the Best Data Science Course Chennai at affordable rates. Our data science course Chennai fees structure is more affordable than others, and the data science course fees in Chennai are also reasonable compared to our competitors. We also offer the zero-cost EMI payment option which will help in providing high-quality education at an affordable price with counseling sessions and a great experience of the industry interface.

We aspire to see our students being placed in different data science roles at the best organizations. It is our mission to make data science training affordable for everyone interested in learning. For more information, Kindly Contact us for further queries. We'd love to hear from you.

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.