Categories
Blockchain
Get started
Ecommerce & Digital Marketing
Cloud Computing & DevOps
Get started
Undergraduate Course
Mentor Giri Job Boosters DTGyan Refer & Earn Register Today

PG Course in Data Science, Machine Learning, and 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

Best Data Science Institute in India

In Curriculum

ChatGPT

Be a Certified skilled Data Scienctist with this Best Data Science Institute in India. By captivating learning of Data Analysis along Machine Learning models, Natural Language Processing, Deep Learning, Forecasting & Predicting Models, Data Visualization and much more this Best Data Science Institute in India.

In Collaboration With
  • NASSCOM
    in
    India
  • nasscom best data science institute in india

11 Oct, 2024

Next Batch
starts on

6 Months

Recommended
20-22 hrs/week

3 Months

Live
Internship

Online

Learning
Format

6000+

Career
Transformed

950+

Hiring
Partners

Course Description

Data Science Institute in India

DataTrained is the Best Data Science Institute 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 the Data Science Institute in India. Also with the most affordable Data Science Institute in India fees structure. Enroll Now, to start your career with the Data Science Institute in India.

Key Highlights

  • Live-Internship of 3 Months - best data science institute in indiaLive-Internship of 3 Months
  • One-on-One sessions with the Industry Experts - best data science institute in indiaOne-on-One sessions with the Industry Experts
  • 40+ Projects & Case Studies - best data science institute in india40+ Projects & Case Studies
  • Career Program Manager - best data science institute in indiaCareer Program Manager
  • Career Guidance - best data science institute in indiaCareer Guidance
  • Fresh Graduates & Working Professionals - best data science institute in indiaIdeal for both Fresh Graduates & Working Professionals
  • 6 Unique Specializations - best data science institute in india6 Unique Specializations
  • Instant Query Resolution - best data science institute in indiaInstant Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 60000
    • Learners - best data science institute in india
    • Learners - best data science institute in india
    • Learners - best data science institute in india
    • Learners - best data science institute in india
    8500+ learners
Features
  • 300+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • 5 Domain Specializations

6 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 - best data science institute in india
  • Python - best data science institute in india
  • Tableau - best data science institute in india
  • NLP - best data science institute in india
  • SQL server - best data science institute in india

What's the focus of this Best Data Science Institute in India ?

Grab an opportunity to select from five unique specializations & get to discover over 14 programming tools & languages. Live case studies and projects, receive mentorship from industry leaders, comprehensive career support, 3 months of live internship, & more at this best Data Science Institute in India.

5 Unique Specializations - best data science institute in india

5 Unique Specializations

Select from five unique specializations as per your academic preference & educational background. Become Certified In Data Science, Machine Learning & Neural Networks In Collaboration With in India.

Dedicated Career Assistance - best data science institute in india

Complete Career Assistance

Get a chance to get 1:1 career counseling sessions from industry experts & exhaustive mock interviews with talent acquisition managers. Boost career with over 400 hiring partners from various industry domains.

Student Support - best data science institute in india

Students Support

Our chat assistance is available from 06 AM to 11 PM IST to rapidly resolve your queries. At our Best Data Science institute in India, Program Manage team are there over call or chat support, & you can also use our user-friendly ticket system during business hours.

Instructors

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

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.

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

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.

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.

Industry Projects

Our online Best Data Science Institute in India offers a captivating learning opportunity via real-life industry projects sponsored by major companies

  • Engage in projects and learn from experts together with your peers - best data science institute in indiaEngage in projects and learn from experts together with your peers.
  • Regular feedbacks on your overall performance - best data science institute in indiaGet Regular feedbacks on your overall performance to get help in performance improvement
  • Receive 1:1 mentoring by industry leaders - best data science institute in indiaReceive 1:1 mentoring by industry leaders for better understanding & application of concepts that you learned
Smartphone and Smartwatch Activity - best data science institute in india

Smartphone and The Smartwatch Activity

Crude accelerometer along with whirligig sensor data are gathered from the smartwatch & cell phone at a pace of 20Hz.

Recommendation System - best data science institute in india

Recommendation System

Based on the Data Collection from the Meteorological Dept of India, candidates predict The Air Quality Of Various parts of India.

Air Quality Study - best data science institute in india

Air Quality Study

In the Internet of Things IoT world, businesses must use recommendation systems to Recommend their Products & Services to customers.

Why Choose DataTrained For A Best Data Science Institute In India?

DataTrained offers this exclusive and the Best Data Science course in India, i.e., the PG Program in Data Science, Machine Learning, and Neural Networks. The course is designed by the top Data Scientists from and industry experts working in the Data Science companies of India for many years. We have ensured the Data Science course curriculum is developed according to industry standards. The course duration is 6 months, perfectly balanced between practical and theoretical learning covering all aspects of the PG Data Science course in India.

Apply today for this Best Data Science course in India.

Internship - best data science institute in india

Along with this Data Science course in India, DataTrained offers a 3 months live internship so that you graduate as an experienced and skilled Data Science professional. DataTrained also enables you to go for an online internship for working professionals.

Resume Feedback - best data science institute in india

DataTrained has joined hands with esteemed IIMJobs. They give you access to their paid resume preparation kit and individual feedback from the HR domain experts. Our Data Science course in India experts make a unique career profile according to the students' abilities to assure that it is relevant to a Data Science job role.

Interview Preparation - best data science institute in india

Regular mock HR and technical interviews are taken by instructors with Individual support and guidance is provided to every student. Industry mentors help students take their projects so that their resume looks professional to the recruiters.

Career Impact

DataTrained, in partnership with , presents the best Data Science Course in India. Over 5000+ Careers Transformed.

DataTrained has assisted me with the knowledge and skills required for a data scientist role. The instructor starts with an example to make us understand the concepts & enables us to build the algos with industry datasets. DataTrained brings forward online learning and proper Mentorship, Counseling, Live Sessions, and 3 months Live Internships.

Aaruni Khare, Data Scientist, RBS - best data science institute in india
Aruni Khare Data Scientist, RBS

I saw an ad from DataTrained on FB, and I called them straight away and then enquired about their Data Science online course. Data Science counselor guided me through the complete aspect of what they offer and what Data Science is. After successive conversations, I was sure about this course. I knew where to invest my time, money & hard work.

Rakshit Jain, Data Scientist, Optum - best data science institute in india
Rakshit Jain Data Scientist, Optum

The course is a mix of pre-recorded classes, weekend live sessions, and the printed reading materials they sent me. My mentor Amit Kaushik helped me finish my assignments on time. I have finished the course & have been able to crack the Glenmark interview. Thank you so much, DataTrained.

Rupam Kumar Chaurasia, Head Sales, Glenmark - best data science institute in india
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - best data science institute in india 66%

Average Salary Hike

Upto 25LPA Highest Salary - best data science institute in india Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - best data science institute in india 7k+

Jobs Sourced

950+ Hiring Partners  - best data science institute in india 950+

Hiring Partners

Admission Process

There are 3 simple steps in Admission Process, which are detailed below.

Step 1: Fill in a Query Form

Please fill out the Query Form given to you, and one of our counselors will call you & understand your eligibility.

Step 2: Get Shortlisted & Receive a Call from us

Our Admissions Team will examine your profile. After successfully qualifying, an Email will be sent to you confirming your admission to the Program.

Step 3: Block Seat & Start the Course

Block your seat after the payment of fee to get enrolled in the course. Start with your Prep course and begin your Data Science Learning!

Data Science Course Fee

₹ 60000 + GST

No Cost EMI options are also available. *

best data science institute in india fees

I’m interested in this program

What's Included in the Price

Access to real-life 40 industry projects

3 Months online Internship part of the core curriculum

For Queries and Suggestions

Call DataTrained Now
Chat With Us
Call or Whatsapp

Data Science Trends in India

Recent Data Science discoveries signal the emergence of a new perspective. Data is no more just a science reserved for a select few people but a fantastic opportunity for each worker within a firm to improve and perfect their knowledge. The need for data scientists in India is unprecedented, resulting in a lucrative career path and competitive remuneration from organizations. For organizations and teams embracing Data Science, the near future will be pretty exciting.

Jobs/Vacancies in Data Science Domain in India

India's industries and services are quickly digitizing, propelling it to the world's second-largest data science center. Around 93,000 Data Science positions were available in India by August 2021. 70% of these openings were for jobs requiring less than five years of experience. Becoming a data scientist is a good investment because the rewards are significantly higher in comparison.

Data Science Professionals' Salary in India

The annual pay of a data scientist is roughly 5 lakh. When you acquire your PG certificate, you can expect a 20 to 25% raise in your annual salary. Thus, investing just 4-5 hours per week to attain specialization in Data Science and Machine Learning reaps long-term rewards, allowing people to widen their employment prospects.

Best Data Science Institute in India

India the country that occupies the majority of South Asia. Its capital is New Delhi, which was constructed in the twentieth century just south of the ancient heart of Old Delhi to serve as nation's administrative center. Indian government is a constitutional-republic that represents a population with thousands of ethnic groups and hundreds of languages. India is the world's second most populated country, accounting for nearly one-sixth of the total global population.

Archaeological evidence indicates that the highly complex urbanised culture Indus civilization ruled the northwestern section of the subcontinent between 2600 and 2000 BCE. Since that time, India has functioned as a virtually self-contained political and cultural arena, giving rise to a separate heritage linked principally with Hinduism, the roots of which may be traced back to the Indus civilization.

Frequently Asked Questions

DataTrained is the most effective platform for data science training. Teachers, mentors, and guides with years of expertise will assist you throughout the course; our objective is to provide students with the greatest education possible at the lowest possible cost.

Our mission is to provide high-quality data science training that matches market expectations to our students. We provide a Data Science course that covers a variety of in-demand tools, techniques, and technology.

Our data science course offers a competitive and market-driven curriculum that is industry-certified. It was created in collaboration with , IIT faculty, and working people. You will be able to learn through hands-on industrial initiatives supported by recognised businesses from a wide range of industries.

The following training and skills are provided by the best data science institute in India by experienced instructors and mentors:

  • Programming expertise.
  • The ability to manage large volumes of data.
  • Data analysis skills
  • Communication ability.
  • Endurance to work long hours under stressful conditions.
  • Extensive technological and analytical expertise.

Candidates must have a university-affiliated degree certificate to enroll in the best data science institute in India. If applicants have any questions about the eligibility process, please contact our helpdesk numbers. After that, you must fill out a simple form with your relevant info.

Once you have completed the payment of the data science course fee, our management will grant you access to the LMS or Learning Management System. This allows you to quickly access all of the pre-recorded videos for your course, providing the basis for engaging with professors during live session sessions.

The parameters established by our expert team are employed to select instructors for our Data Science course. Our data science professors and teachers have extensive job expertise in their respective industries. They understand how data analytics work and have practical experience. Our current data science instructors are as follows:

  • Shankargouda Tegginmani - Data Scientist, Accenture
  • Sanket Maheshwari - Data Scientist, Faasos

The following are the key course features of the best data science institute in India:

  • DataTrained is a one-of-a-kind platform that, allowing applicants to focus completely on their education.
  • We offer 360-degree career assistance to candidates and invite them to approach us as soon as they have any questions.
  • This platform is perfect for both freshers and working professionals because our teachers/mentors train candidates from the foundation up to high levels.
  • We offer students a 3 month live internship.
  • The course includes 40+ projects based on real data.

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.