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PG Program 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

Data Science Training in Chennai with Placement Guarantee

In Curriculum

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To become an industry-ready Certified Data Science professional with this exclusive Data Science training in Chennai by immersive Training of Data Analysis with Machine top models, Visualization, Forecasting and predicting Models, NLP, Deep Learning & furthermore with a 100% placement guarantee Data science training in Chennai.

In Collaboration With
  • NASSCOM
    in
    Chennai
  • nasscom data science training in 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 Training in Chennai

DataTrained offers the Best Data Science Training 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 the Data Science Training in Chennai with Placement. Also with the most affordable Data Science Training fee structure in Chennai. 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 Training in Chennai with placement guarantee. Enroll Now, to start your career with the Data Science Training in Chennai with placement guarantee.

Key Highlights

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

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 160000
    • Learners - data science training in chennai
    • Learners - data science training in chennai
    • Learners - data science training in chennai
    • Learners - data science training in 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 training in chennai
  • Python - data science training in chennai
  • Tableau - data science training in chennai
  • NLP - data science training in chennai
  • SQL server - data science training in chennai

What's the focus of Data Science training in Chennai with placement?

Pick from 5 zestful specializations, learn 14+ programming tools & languages, Live case studies and projects, six months of active internship, get mentorship from industry specialists, dedicated career assistance, & lots more with the data science training in Chennai. This emphasis is also on the most economical Data Science training in Chennai.

5 Unique Specializations - data science training in chennai

5 Unique Specializations

Get the chance to pick from 5 zestful specializations as per your career goal and educational background. Get an Executive Certification of Data Science in Collaboration With in Chennai.

Dedicated Career Assistance - data science training in chennai

Dedicated Career Assistance

Get the chance to obtain 1:1 career counseling services from industry specialists & daily mock interviews with HR managers. Advance your career with our 950+ hiring partners from many industry fields.

Student Support - data science training in chennai

Student Support

The student help desk opens from 06 AM to 11 PM IST for quick Query solutions. Our Program Managers are present on call or chat, and you can also take advantage of our user-friendly ticket-raising service during company time.

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

Industrial Projects

Know real-life industry projects aided by topmost companies and the most economical data science training in Chennai.

  • Participate in concerning projects and learn from the peerage - data science training in chennaiParticipate in concerning projects and learn from the peerage
  • Mentoring by leading industry specialists to become better - data science training in chennaiMentoring by leading industry specialists to become better
  • Personalized feedback for your submissions to improve skills - data science training in chennaiPersonalized feedback for your submissions to improve skills
Smartphone and Smartwatch Activity - data science training in chennai

Smartphone and Smartwatch Activity

The crude accelerometer & whirligig sensor info is compiled from the mobile phones and smartwatches at a velocity of 20Hz.

Recommendation System - data science training in chennai

Recommendation System

Association is supposed to be applied to advise their Products & Services to the People over the Globe.

Air Quality Study - data science training in chennai

Air Quality Study

To know the foretelling air quality of several parts of India, they record the data from the Meteorological Department.

Why Choose DataTrained For A Data Science Training In Chennai with Placement?

DataTrained provides the most accessible and best Data Science training in Chennai with a 100% placement guarantee, i.e., the PG Program in Data Science, Machine Learning, and Neural Networks. The curriculum developed by our leading Data Scientists in collaboration with and those leading industry experts working in the data science companies of Chennai form several long duration, and the training program is organized at par with the International Industry Standards. The program lasts for 12 months, which is a complete balance of realistic and bookish learning, covering entirely from the innovative learning of the Data Science training in Chennai with placement across India.

Register today with us for the Best Data Science training in Chennai with a 100% placement guarantee.

Internship - data science training in chennai

With the Data Science training in Chennai, Datatrained offers a six Months internship to ensure that students become masters in their fields. Enrolled students after a 6 months internship will not bear a fresher tag. Datatrained also allows you to go for an online internship for working professionals.

Resume Feedback - data science training in chennai

Data Trained, collaboration with IIMJobs for the Topmost Data science training in Chennai, which grants you permission to their paid resume preparation package and individual feedback from our experts from the HR team. Our experts prepare a personalized career profile to ensure it is valid for data science roles.

Interview Preparation - data science training in chennai

Customary mock HR interviews by mentors with their personal support and guidance provided to each student. Our mentors encourage students to work on Kaggle; thus, their resume looks impressive.

Placement - data science training in chennai

DataTrained boosts your career aspirations, which is provided to our 950+ recruitment collaborating organizations. We organized campus placement every three months to provide placement to our students in the best associations.

Career Impact

DataTrained has collaborated with and offers its best online Data Science training in Chennai. Till now, 150,000+ students placed and added.

DataTrained supports its students with the vital learning, training, and techniques that are necessary to become Data scientists. The mentor makes you understand the complex concept with the help of examples and also aids us by teaching languages needed to improve the skills. DataTrained comes up with different modules like online sessions and dedicated counselors, real-time industrial training, and six months Internships.

Aaruni Khare, Data Scientist, RBS - data science training in chennai
Aruni Khare Data Scientist, RBS

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

Rakshit Jain, Data Scientist, Optum - data science training in chennai
Rakshit Jain Data Scientist, Optum

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

Rupam Kumar Chaurasia, Head Sales, Glenmark - data science training in chennai
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - data science training in chennai 66%

Average Salary Hike

Upto 25LPA Highest Salary - data science training in chennai Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - data science training in chennai 7k+

Jobs Sourced

950+ Hiring Partners  - data science training in chennai 950+

Hiring Partners

Admission Process

There are three simple ways in the Admission method, which are detailed below.

Step 1: Fill in a Query Form

After filing a Query Form, and our counselor team will reach you & make you understand your eligibility in data science training in Chennai.

Step 2: Get Shortlisted and Receive a Call

A crew member of our Admissions department will go through your profile. After getting successfully qualify, you will get an email that will give confirmation about your admission to the Data science program.

Step 3: Block your Seat and Start the Prep training

Make your booking by paying a registration charge for the course. The beginning of the Preparation training and Data Science journey will start from here.

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

data science training in chennai 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 Science Trends in Chennai

The newest trends in data science recommend that a new angle take shape. Data is no anymore a data science reserved for a specific group of professionals. Nevertheless, it has turned into a precious chance for every industry professional to enhance their business and improve their custom. Data science training in Chennai with a 100% placement guarantee can boost you with a successful career in the 21st century.

Jobs/Vacancies in the field of Data Science in Chennai

India will require 2 lakh Data scientists by 2025, and according to compensation data, Data science job roles will be plenty in all domains. By the end of 2026, it will be a fast-growing field. There will be a demand for people who are proficient in mining and interpreting data. Positions related to AI, Analytics, Data Science, and Machine Learning are in high demand. Year by year, we see a rise in job postings on job boards for Data science professionals.

Salary in New Chennai for Data Science Professionals

The average salary of a Data Scientist is around 10.5 lakhs per year in the Chennai region. The moderate supplementary wages for a Data scientist are around 1.2 lakhs per annum, and the range starts from INR 83,268 and goes to INR 3 lakh in the Chennai region. 'Human of data science' report says that job openings will be 11.5 million by 2026. According to pay scale data, A fresher level Data Scientist will get an average salary of 12,64,864 lakhs per annum which includes a bonus. Data scientists whose Experience is more than ten years will take home total remuneration of INR 22,33,190.

Data Science training in Chennai with Placement

For several years Chennai has been called the best place to go for Data science training in Chennai. Chennai started rising as a flourished city of startups and moving towards becoming a Data science training in Chennai center and at the same time attracting industrialists from many fields, including engineering and manufacturing. According to the 2011 census, Chennai was declared as the 6th most populated town and the 4th most populated metropolitan region. The Standard of living is comparatively 6% less than other metropolitan regions.

Frequently Asked Questions

Data trained is the best data science training institute in Chennai; It grants authorized data science courses in Chennai. Hence, it is designed for freshers as well as working professionals from other industrial sector. Here you will learn all the latest skillset from advanced to primitive levels.

It assures a 100% placement guarantee; it will take your career goals to new heights. Data trained is the leading data science training in Chennai that offers you one of the best, well-structured courses and training curricula as per the international industry standards. Hand- Experience through real-life projects, Instant query resolution, and get practical sessions with industry specialists.

Yes, Data science remains an uttermost priority of industrial companies in today's digital era. Data science is a field with a huge number of job opportunities with the brightest professional development. When everything was shut down, the entire digital world depended on data itself. There are some parameter why data science is a promising career in the 21st century and beyond;-

  1. Increasing Demand for data science
  2. Upgradation - Earlier, it was only conveyed through books; not much availability on the internet keeps it today quite new and undiscovered.
  3. Future Potential- Everyone knows its demands, and according to the Bureau of Labor Statistics, a Growth of 28% by 2026 can be seen in data science.
  4. Availability of Data science courses and degrees
  5. Heavy salary packages

If you are freshers or working professionals from another industry and want to get admission to an institution that offers a 100% placement guarantee is none other than Data Trained. Data science training in Chennai at data trained organized campus every three months to place their students and experts team of data trained personally helps students to grow their skills. Data science creates remunerative career options globally for the one who is passionate about this field.

Yes, you can become a Data scientist with prominent data science training in Chennai of Data trained. Data Trained will assist you in the way that with the completion of data science training in Chennai, you will develop those skills which are useful in a Data scientist job. Chennai started rising as a flourished city of startups and moving towards becoming a Data science training in Chennai center and at the same time attracting industrialists from many fields, including engineering and manufacturing.

Data Trained helps in the development of your technical abilities as per your choice, makes you learn new languages, and provides personal assistance to make your resume competitive. Data training gives you chances to participate in real-time industry projects with six months of internship.

Data Trained is one of the brightest names in the institute federation. Moreover, their training pattern leads their student to master languages. Further, the advanced level of education used by experts helps their students to resolve even difficult problems.

Best data science training in Chennai; Data trained offers their course which can't give a hole in your pocket; they provide a budget-friendly fee, i.e., 35,000 to more than 1,00,000. Though there are many institutes in Chennai either, they will cost a heavy amount, or if not, then the remaining one enables you to provide a 100% placement guarantee. So, if you are searching for a good budget-friendly institute, then you should go for Data trained.

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.