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Top 10 Data Science Training Institutes in India

Top 10 Data Science Institutes

Table of Contents

Top 10 Data Science Training Institutes in India

Information science preparation is one of the foremost sought-after abilities in today’s world. It has become an essential field in today’s world. The volume of data collected has substantially expanded due to the rapid improvements in technology. 

Data science uses a variety of methods and algorithms to draw conclusions from the data. The number of data science training institutions in India has expanded along with the need for data scientists. Because they can discover new techniques for processing data, analyzing data, and building mathematical models, data scientists are in high demand. 

Numerous organizations are right now helping understudies in obtaining the abilities required to gotten to be information researchers. In the event that you’re confounded approximately whom to approach and feel like this disarray is keeping on expanding due to the accessibility of different organizing around you, at that point do not stress any longer.

 In this blog, we will be discussing the top 10 Best Data Science Training Institute in India where you can enroll and learn new skills. Do not stress, we are going moreover assist you to get the term and course substance for better understanding. Let’s get started!

 

Let’s discuss the Top 10 Data Science training institutes in India

1. Dreamer Infotech

An extensive selection of courses in data science, machine learning, and artificial intelligence are offered by Dreamer Infotech, a top data science training center in India. The institute provides a variety of courses, such as a Master’s in Data Science, a Master’s in Machine Learning, and a Master’s in Artificial Intelligence. Dreamer Infotech is the best data science training institute in Faridabad.

The institute employs a group of skilled instructors with in-depth expertise in data science. The curriculum is created to give students the abilities and understanding needed to excel in the data science industry. The course is broken up into a number of courses, each of which focuses on a distinct facet of data science. 

Course Material: The Data Science Master’s Programme at Dreamer Infotech is structured to give students a thorough understanding of the underlying ideas behind data science, machine learning, and artificial intelligence. The program addresses subjects like:

  • Introduction to Data Science
  • Data Exploration and Visualization
  • Probability and Statistics
  • Regression Analysis
  • Predictive Modeling
  • Deep Learning
  • Natural Language Processing
  • Big Data Analytics
  • Artificial Intelligence
  • Industry Projects

Course Duration: The duration of Dreamer Infotech’s Data Science Master’s Program may vary depending on the mode of delivery and the pace of the student. The program is made to be adaptable to meet the demands of working adults who might have other obligations. The program can typically be finished in 6 to 12 months, depending on the method of delivery and the student’s pace.

2. Jigsaw College

Data science, big data, and business analytics courses are all offered at the renowned data science training center Jigsaw Academy in India. Students receive practical instruction from a team of industry specialists at the institute. Jigsaw Academy offers both online and classroom training, with flexible learning options.

Too, the most excellent portion is that they come up with comprehensive educational modules considering all the nuts and bolts to progressed subjects. You can simply learn all of them and try your hands on some live projects to understand whether you have learned them well or not.


Course Substance: They are coming up with distinctive modules, or specializations, and the course is subordinate to the chosen specialization as it were.

Course length: The course can continue up to 12 months and begins at 6 months.

3. AnalytixLabs

Data science, big data, and business analytics courses are all offered by the Indian data science training center AnalytixLabs.Analytixlabs is coming up with diverse models related to information science courses in India. Once you begin learning for the data science course here, you’ll see that individuals are beginning from scratch.

The institute employs a group of knowledgeable instructors who give pupils practical training. It offers both online and classroom training, with flexible learning options. They are coming out on the best with online and offline modes, which permit understudies to select the choice as per their budget and comfort. You’ll be able to memorize all perspectives of stock that are moreover instructed at resources, which can help you in learning the course module without trouble.

Course content:

  • Analytics for MIS Reporting
  • Data Visualization
  • Data Blending and Manipulation
  • Mining and Analyzing Data
  • R Programming
  • Statistical Analysis and Modeling
  • Predictive modeling
  • Machine Learning with Supervision
  • Unsupervised Machine Learning
  • NLP Text Mining and much more.

Course length: The term of this course is 138 hours, in conjunction with 74 hours of e-learning.

4. Great Learning

Offering courses in data science, big data, and business analytics, Great Learning is a well-known data science training center in India. Those who are amateurs in the field and have never mastered the skills at all are the target audience for this course. 

The institute employs a group of knowledgeable instructors who give pupils practical training. Great Learning offers both online and classroom training, with flexible learning options. They have comprehensive educational modules accessible together with information on 9+ dialects and apparatuses. You will be able to learn everything from the top experts, who will also teach you how to handle challenging circumstances simply.

Course Content: Depending totally on the program you select, the course content may vary. In the event that you’re going for MS, there will be a course on the basics, but on the off chance that you’re enrolling for the PG program, you may learn from scrap to essential.

Course Term: PG program in information science preparation and commerce analytics: 9 months.

MS in Information Science Program: 7 months

PGP information Science preparing and Trade Analytics: 6 months

5. Imarticus Learning

Imarticus Learning could be a driving proficient instruction firm that provides preparation in money-related administrations and analytics. It is a data science and IT training institute in India, offering courses in data science, big data, and business analytics. 

It aspires to train people with the necessary skill sets through a variety of programs that have the support of the industry in order to empower them with advanced abilities in developing technology. More than 30,000 people have received education from it; they have been hired by companies including Northern Trust, Wipro, Morgan Stanley, Goldman Sachs, Infosys, Cognizant, Accenture, and more. 

Course Material: The courses’ structure ensures that they are very pertinent to the requirements and needs of the developing tech sector. It incorporates 18 industry-relevant projects, case studies, classroom discussions, tests, and assignments to help students understand and internalize the critical concepts of this disruptive domain. 

  • Capstone Extend: Less than 3 months of the term
  • Recurrence Of Course Updation: It is overhauled habitually after every 6 months.
  • Getting to Understudies At The Conclusion Of The Course: Imarticus Learning conducts evaluations, ventures, and tests at each step of the program to guarantee that understudies get a handle on the central concepts. 

Course length: The term of the course will be 200+ hours.

6. Edvancer

Data science, big data, and business analytics courses are all offered by Edvancer, a data science training center in India. The institute employs a group of knowledgeable instructors who give pupils practical training. Edvancer offers both online and classroom training, with flexible learning options.

Course Content:

  • Comprehensiveness: The course covers everything from prescient analytics, machine learning, profound learning, huge information improvement, and information visualization in instruments like R, Python, Tensorflow, Keras, Scene, Hadoop, Start, and SQL.
  • Capstone Project: More than 3 months duration
  • Frequency Of Course Updation: The course content is updated every 6 months
  • Accessing Students At The End Of The Course: There is a project-based assessment plus final exams where learners have to work on 10 different projects based on which they are assessed. TCS iON conducts a last exam and gives the TCS iON Procert. Best Learning Resources: Books, videos, downloadable resources, hands-on coding and projects, LMS, online webinars, guest lectures, and events. 

Course Duration: 150 Hours Of Learning + 150 hours of assignments & projects

7. UpGrad

UpGrad may be a well-known title at whatever point we are looking for an established for information science preparation in India. They are coming up with different specializations in data science and students can choose any of them at their convenience. Beginning from preliminary substance to specialization in information building, you’ll be able to select any of the courses and learn the results of them.

The top-notch resources are here, making a difference in understudies learn approximately each and each skin sort so that they can get to be fruitful information researchers.

Course Content:

  • Pre-Programme Preparatory Content
  • Data Toolkit
  • Machine Learning
  • Specialization- Data Science Generalist
  • Specialisation-Natural Language Processing
  • Specialization: Deep Learning

Course Term: Official PG Program in Information Science: 12 months (rest is subordinate to the students’ whether they are choosing the complete course or are looking forward to learning a specific module of this course.)

 8. Excelr

Excelr is giving you an information science course from fundamental to development. They are coming up with classroom and self-paced e-learning certification courses in which you’ll be able to select yourself and learn the abilities. Moreover, they have a devoted situation cell that’s in an organization with 150+ enterprises, and you’ll essentially begin learning the aptitudes.

Course Content:

  • Data Science Project Lifecycle
  • Probability and Hypothesis Testing
  • Exploratory Data Analysis-1
  • Linear Regression
  • Logistic Regression
  • Deployment
  • Data Mining Unsupervised Clustering
  • Dimension Reduction Techniques
  • Association Rules
  • Recommender System

*The course duration is 6 months.

9. Scaler

When we explore the best information science organizing in India, one of the educators that continuously makes the list is Scaler Information Science Founded. They provide courses from essential to progress, which is additionally isolated into different models. In case you’ve got mastery in any specific module and you need to memorize around the other one, you’ll be able basically to select yourself and it.

Course Content:

  • An Introduction to Programming
  • Programming – Intermediate
  • Statistical Analysis & Data Analytics
  • Data Science & Machine Learning
  • ML Engineering-Deep Learning & Big Data
  • Programming – Advanced

Course Term: The length of the course will final for 12+ months.

10. Simplilearn

Simplilearn is additionally among the most excellent organizing for information science preparation. The program they are coming up ahead with is a master’s program in collaboration with IBM. Simplilearn is a well-known data science training institute in India, offering courses in data science, big data, and business analytics. The organization contains a group of experienced coaches who give hands-on preparation to understudies. It offers both online and classroom training, with flexible learning options.

Course Content:

  • Python for Data Science:
  • Data Science with Python
  • Machine Learning
  • Tableau Training
  • Data Science Capstone

Course Length: The length of the master’s course is 12 months.

Conclusion

Choosing an established Information Science preparation in India was never as simple as it is right now. One can effortlessly explore the institution and begin learning. There are numerous data science training facilities in India that provide business analytics, big data, and data science courses. Students at these institutions receive practical training from skilled instructors. IT training institutes are the best for learning programming. 

Offering thorough courses in data science, machine learning, and artificial intelligence, Dreamer Infotech stands out as one of the best data science training institutions in India. You can jumpstart your career with the experience you gain here. They have to tie up with numerous companies where you’ll apply after course completion. They provide 100% placement, which suggests you’ll have work after completing the course. Without thinking twice, enroll yourself in the course now so that you can become a part of the industries around you and build a successful career!

Additional Read:

Why is Data-driven Analytics of interest to Companies?

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MYSQL JOIN

MySQL JOIN

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DATA PRE-PROCESSING/WRANGLING

NUMPY
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        Create Random Array
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         2-D to 3-D array
         3-D to 1-D array
  • Arithmetic operations on  Array
         Addition
         Subtraction
         Multiplication
         Exponential
  • Slicing of the array
        How to slice array
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  • Transpose of a matrix
        How to take transpose
        Rows and columns  while taking transpose
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       How to take Dot product of the Matrix
PANDAS
  • Data Frame
         What is Pandas Dataframe
         Different ways to create a Dataframe
        Read data from different sources and convert them to the Dataframe.
  • Pandas Series
        What is panda Series
        How to create a Panda Series.
  • Data inspection
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         Using Shape, describe, unique, value etc
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STATISTICS
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  • Introduction to linear algebra
  • Measure of central tendency mean
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    Measure of shape skewness
    Measure of shape kurtosis
    Covariance and correlation
PROBABILITY
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  • Discrete and continuous variable
  • Bayes Theorem
  • Central Limit theorem
  • Normal Distribution
  • Bernoulli distribution
  • Uniform Distribution
HYPOTHESIS TESTING
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LINEAR REGRESSION
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  • Types of Linear variables
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  • Testing and Check
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  • Assumptions of the Linear Regression
POLYNOMIAL REGRESSION
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  • Types of Variables in the Polynomial regression
  • Mathematics behind it
  • Implementation of the model
  • Testing and check performance of the
    model
MULTIPLE REGRESSION
  • Need of multiple Regression
  • Mathematics behind it
  • Implementation of the model
  • Testing and check performance of the model
RANDOM FOREST ALGORITHM
  • Why to use random Forest
  • Assumptions in random Forest
  • Working and Implementation of the Model
  • Data Pre-processing in Random Forest
SUPPORT VECTOR MACHINES
  • Types of SVM
  • Implementation of the SVM
  • Creating confusion matrix
NAIVE BAYES CLASSIFIER ALGORITHM
  • Bayes Theoram
  • Implementation of Naïve Bayes
    Classifier
  • Type of Naïve Bayes Model

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Mouse events
Keyboard events

DOCUMENT OBJECT MODEL (DOM)

Accessing and manipulating HTML elements
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Creating and removing HTML elements

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What is React.js?
History and evolution of React.js
React.js components and their role in
building web applications
Setting up the development environment

JSX

Introduction to JSX
Basic syntax and rules of JSX
Embedding expressions in JSX
Conditional rendering in JSX
Working with lists in JSX

REACT COMPONENTS

Understanding components
Creating class components
Creating functional components
Props and state in React components
Lifecycle methods in React components

REACT EVENTS

Handling events in React
Binding event handlers in React
Passing data to event handlers in React
Conditional rendering based on events in
React

REACT FORMS

Creating forms in React
Handling form submission in React
Controlled and uncontrolled components
in React

REACT ROUTING

Introduction to React Router
Setting up routing in React
Creating routes in React

INTRODUCTION TO MONGODB

What is MongoDB?
Advantages of MongoDB over RDBMS
MongoDB data model and architecture
Setting up the development environment

CRUD OPERATIONS

Creating and inserting documents in
MongoDB
Reading documents from MongoDB
Updating documents in MongoDB
Deleting documents from MongoDB

QUERYING MONGODB

Querying MongoDB using find() method
Querying MongoDB using comparison and
logical operators
Querying MongoDB using regular
expressions
Querying MongoDB using aggregation
framework

INTRODUCTION TO NODE.JS

What is Node.js?
Advantages of Node.js over other serverside technologies
Node.js architecture and event-driven
programming model
Setting up the development environment

NODE.JS MODULES

Introduction to Node.js modules
Creating and using built-in modules
Creating and using custom modules
Working with NPM (Node Package
Manager)

NODE.JS HTTP

Creating HTTP server in Node.js
Understanding HTTP methods and status
codes
Handling HTTP requests and responses
Serving static files in Node.js

EXPRESS.JS FRAMEWORK

Introduction to Express.js framework
Creating and configuring Express.js
application
Handling HTTP requests and responses in
Express.js
Implementing middleware in Express.js

NODE.JS DATABASE CONNECTIVITY

Introduction to database connectivity in
Node.js
Connecting to MongoDB database in
Node.js
Performing CRUD operations in Node.js
using MongoDB
Using Mongoose ORM with MongoDB in
Node.js

NODE.JS SECURITY

Introduction to security in Node.js
Understanding and implementing
authentication and authorization in
Node.js
Implementing HTTPS in Node.js
Preventing common security vulnerabilities
in Node.js

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