Why Choose Data Science Training & Certification Program In Indore?

Data Science Training And Certification Course In Indore

Take your IT career to new heights by becoming an expert with us

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Course
Duration

200

hours

Advantages of Data Science Training And Certification Course

₹ 2,50,000+

Average Salary per Annum in India

$ 50,000

Average Salary per Annum in USA

15,00,000

Job Vacancies across the world

1,00,000

Data Science Experts in the world and the demand is increasing day by day

Why Choose Data Science Training & Certification Program In Indore?

Data science is the process of deriving knowledge and insights from a huge diverse set of data through organising, processing and analysing the data. It involves many assorted disciplines like mathematical and statistical modelling, extracting data from its source and applying data visualisation Technique. The programming requirements of data science demands a very versatile yet flexible language which is simple to write the code but can handle highly complex mathematical processing. Python is most suited for such requirements as it has already built the reputation both as a language for general computing as well as scientific computing    An IT professional who has earned the title of Data scientist through Data Science Training Program in Indore has ample amount of diversified opportunities in modern IT environment across the world. Indore is known as the city of intellects and gives the country hundreds of capable IT professionals each year. 

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Hiring Partners

We are globally connected with the top IT companies

We are connected with companies with different industries across the nation. Our dedicated placement cell is constantly striving to get more companies on-board

About Data Science Training Course

Today's modern IT world is driven by capturing, storing and analysing data for various requirement. Data Science is everywhere as far as concern of making new strategy for business growth, forecasting weather, manage trends in every spectrum or designing a marketing campaign, financial risk management, etc. All of these scenarios involve a multidisciplinary approach of using mathematical models, statistics, graphs, databases and business and scientific logic behind the data analysis.So, we need a programming language which can cater all these diversified needs of data science. Python is one of the leading programming languages as it has numerous libraries and built in features which makes it easy to tackle the need of data science. By enrolling for Data Science Training Program in Jaipur at Grras Solutions, you can be rest assured that you are taking effective measures towards making a career of great importance. 

Data Science Course Overview

Tracks Regular track Full day (Fastrack )
Training Duration 200 hours 200 hours
Training Days 100 days 25 days
    • Data Types
      • Numbers, Strings, List
    • Operators
      • Arithmetic Operators
      • Comparison (Relational) Operators
      • Assignment Operator
      • Logical Operators
      • Bitwise Operators
      • Membership Operators
      • Identity Operators
    • Conditional Statement
      • if-else, nested if-else
    • Loops
      • While loop
      • for loop
    • Functions
      • Built-in Functions, User Define functions
      • Recursion
      • Closures and Decorators
      • Generators
    • File Handling
      • Basic File Handling Tasks such as reading, writing and appending data into files
      • Advance file Handling using Serializer and Deserializer
      • JSON, XML, YAML file handling
      • Using File Handling for Personal Database Management System
    • OOPS
      • Paradigm of Object Oriented Programming
      • Encapsulation, Abstraction and Data Hiding
      • Inheritance
      • Polymorphism and Over-riding
      • Objects and classes
      • Meta classes
      • Abstract Classes
      • Slots
    • Exception Handling
      • Built-in Exception meaning, detection and handling
      • Raising Custom Exceptions
      • Creating Custom Exception Classes for advance Exception Handling
    • Brief Tour to Standard Library
      • os and sys modules
      • shutil, glob modules
      • regular expressions using re module
      • math and random modules
      • statistics module
      • urllib and request module for Internet Access
      • smtplib module for mails
      • datetime, time modules for time series data
      • zlib module for data compression
      • timeit module for performance Measurement
      • sqlite3 for small database management
    • Debugging
      • doctest module
      • unittest module
      • pdb debugger
    • Threading and Socket Programming
    • Scripting for system Automation tasks
    • Algorithms
      • Searching and Sorting Algorithms
      • Complexity of Algorithms
      • Advance Algorithms intro
    • Flow Charts
      • Flow charts using UML diagrams
    • Data Structure
      • Link-list, stack, queue, heap, trees and graphs
      • Python Dictionaries and lists as data structure
      • Building Custom Data Structure using Python Classes, List and Dictionary
      • Sets, tuples and frozen sets in Python
      • Array, Matrix and Data Frames
    • Installation
      • R Base Software
      • Exploring CRAN
      • Rstudio IDE of R language
      • Connecting R kernel to Jupyter notebook
      • Setting up Environment Variables for R
    • Data Structures
      • Scalars
      • Vectors
      • Matrix
      • Array
      • Lists
      • Data Frames
      • Tables
    • Operators
      • Arithmetic Operators
      • Comparison (Relational) Operators
      • Assignment Operator
      • Logical Operators
    • Conditional Statements
      • if-else, nested if-else
      • switch statement in R
    • Control Statements
      • while loop
      • for loop
      • repeat loop
    • Functions in R
      • Built-in Functions
      • User Defined Functions
      • Recursion
    • Brief History Databases
      • Introduction to Database Management System
      • sql and no sql databases
      • pro and cons of RDBMS
      • pro and cons of ODBMS
    • Installation of DBMS server
      • Installation on Windows
      • Installation on Linux
      • Creating Databases
      • User & Permissions
    • Structure Query Language
      • DDL statements
      • DML statements
      • DCL statements
      • Creating, Updating and Altering Tables
      • Aggregation Functions
      • Where, in , like, limit, order by, as, between clauses
      • Multiple table Queries
      • Nested Queries
    • SQL Joins
      • Inner Joins
      • Outer Joins
      • Left Outer Join
      • Right Outer Join
    • Normalization in Databases
      • First normal form
      • Second normal form
      • Third normal form
    • Views in Database
      • Create views
        Update Views
      • Drop Views
      • Alter Views
    • UDF and Triggers
      • Creating and Using User Define Functions
      • Creating Triggers
    • Advance DBMS
      • File Organisation and Database Indexes
      • Data Warehousing and Mining
      • Database Optimization
      • Database Connectivity with Python and R language
      • Backup and Restore
    • All about Web
      • Introduction to Web and Http Requests
      • MIME types and Headers
    • Scrap Web Site
      • Scraping data using request and urllib module of python
      • Advance Scrapping using BeautifulSoup Library of python
      • Data Scrapping using APIs and making own APIs
      • Creation of Rest APIs using json
    • Introduction to Web Designing
      • Introduction to html, css and bootstrap
      • Introduction to apache server and CGI-Scripting
      • Backend Development using Flask web Framework of Python
      • Introduction To Django Web Framework of Python
    • Descriptive Statics
    • Data Collection Techniques
      • Primary Data Collection
      • Secondary Data Collection
    • Data Classification Techniques
      • Geographical Classification
      • Chronological Classification
      • Qualitative Classification
      • Quantities Classification
    • Central Tendency
      • Discrete and Continues Data
      • No of Classes, Class Intervals, Mid-value, Range
      • Frequency Table
      • Less than and Greater than Cumulative Frequency table
    • Measures of Central Tendency ( Mathematics of Statistics)
      • Mathematical Average
        • Arithmetic mean
        • Geometric mean
        • Harmonic mean
      • Average of Position
        • Median
        • Quartile
        • Decile
        • Percentile
        • Mode
        • Variance
        • Standard Deviation
    • Selection of Averages
    • Data Wrangling in R
      • Stats in R
      • Summary commands
      • cbind, rbind, merge, subset, sort, order, group
      • reshape2 package - melt, dcast
      • tidyr package - gather, spread, unite, seprate
      • sqldf package - Database management using R, inner join, left join, right join, select, other sql queries
      • dplyr - select, filter, mutate, arrange, group_by, summarise, bind, bind_cols, bind_rows, intersect, union, setdiff, setequal, left_join, inner_join
      • transform , apply, cut
    • Data Wrangling in Python
      • numpy arrays
      • pandas Module for data wrangling
      • scipy Module scientific calculations of central tendency
      • statistics module for stats
      • sympy module for symbolic representation

     

     

    • Data Visualization in R
      • Scatter plot
      • Bar Plot
      • Histograms
      • Box Plot
      • Stack Plot
      • ggplot library for beautiful and meaning full graphs
      • saving plots
    • Data Visualization in Python
      • Scatter, Bar, Histogram and Box Plot
      • matplotlib module
      • seaborn module
      • opencv module
    • Supervised Machine Learning
      • Linear Regression
      • Polynomial Regression
      • Decision Trees
      • SVM
    • Unsupervised Machine Learning
      • Clustering
      • Anomaly Detection
      • Neural Networks
    • Introduction to Linux
      • History, Installation, a Word about OpenSource
      • Accessing the Command line
      • Managing Files from Command Line
      • Basic Commands of Linux
    • Users and Permissions in Linux
      • Creating users and groups in linux
      • Sudoers and super privileges
      • File Permissions in Linux
      • Changing Ownership and Permissions of files
    • Processes, Daemons and Logs in Linux
    • Networking in Linux
      • Ipv4 and Ipv6, gateway, subnets
      • DNS
      • DHCP
    • Client-Server Architecture
      • Remote access using ssh, putty
      • Deploying ftp server
      • Deploying Database Server and accessing in client machine
      • Deployment of Apache Server
    • Scripting in Linux
      • Basics of Shell Scripting
      • If-else, loops and regular expression
      • System Automation using Shell Scripting
      • Automation using Python + Shell Scripts using CGI
    • Introduction to AWS services
      • ec2 instance creation
      • lambda service
      • EMR service
      • Beanstalk service
    • Introduction to GCP and Azure
    • Introduction to Big Data
      • History of Big Data
      • Introduction Hadoop Architecture
    • Installation of Hadoop
      • Single node cluster Installation
      • Multi-node cluster Installation
      • Working on Cloudera Distributed Hadoop (CDH)
    • Hadoop Distributed File System in Detail (HDFS)
    • Resource management using Yet Another Resource Negotiator (YARN)
    • Map-Reduce frame work of Hadoop
      • Job Tracker
      • Task Tracker
      • Input, Input split
      • Mapping
      • Shuffling and sorting
      • Combiner and Reducer
    • Data injection Tools
      • Sqoop
      • Flume
      • Kafka
    • Data Warehousing Tools
      • Hive
      • Cassendra
      • Hbase
      • Kafka
    • Data Processing Engines
      • MapReduce
      • Hive
      • Pig
      • Tez & Impala
    • Work Flow and Job Scheduler
      • OOZIE
      • Zookeeper

     

    • Spark Core
    • Spark SQL
    • PySpark
    • Machine Learning on Spark
    • Spark on Data Bricks (AZURE)
    • Tableau making data processing and analysis easy
    • Microsoft Power BI Business Intelligence tool
    • Movie Recommendation System: This is a very interesting project where we have a large data set of movies and there reviews, using big-data technologies and data wrangling tools of R and Python we will build a Movie Recommendation System to predict movies to watch on the behalf of their content, review, and genre.
    • H1B visa analysis for job assistance: In this project, we will analyzing dataset of 30 lakh petitions fired for h1b visa analysis since the year 2011. First, we will wrangle the data to particular form so we can predict top 15 hiring companies, top companies according to salary as well as we analyze year by petitioned fired, certified, withdrawn and denied a petition. Also, we will be looking into data to find top 15 worksites where people had applied in past as well as top 15 job titles for which most petition was fired.
    • Fraud Detection: Be it emails, text messages, transactions or spoken word, fraud detection can be used. To know that an email is fake or a transaction is shady requires more than human intelligence. This application has potential uses in a lot of domains and is an extremely important part of any service.
    • Market Basket Analysis: You are a data scientist (or becoming one!), and you get a client who runs a retail store. Your client gives you data for all transactions that consists of items bought in the store by several customers over a period of time and asks you to use that data to help boost their business. Your client will use your findings to not only change/update/add items in inventory but also use them to change the layout of the physical store or rather an online store. To find results that will help your client, you will use Market Basket Analysis (MBA)which uses Association Rule Mining on the given transaction data.
    • Case Study 1: Google
      Google constantly develops new products and services that have big data algorithms. Google uses big data to refine its core search and ad-serving algorithms. Google describes that the self-driving car as a big data application
    • Case Study 2: LinkedIn
      LinkedIn is a business-oriented social networking service. Founded in December 2002 and launched in 2003, it is mainly used for professional networking. LinkedIn uses big data to develop product offerings such as people you may know, jobs you may be interested in, who has viewed my profile and more.
    • Case Study 3: trivago is well known for global hotel search platform. It Provides customers approximately 1.3 million hotels in over 190 countries. The platform itself is accessed globally via 55 localized websites and apps in 33 languages. Faster response to customers is vital and trivago thrives on how it can analyze and extract performance insights from digital experience data collected globally from its sites and systems in real time. 

Python Developer:

A developer who does the programming in python and  is responsible for writing server-side web application logics in Python . Python web developers usually develop back-end components , trying to connect the application with other web services, and support the front-end developers by the integration of their programming with the front end development 

Data Scientist:

Data scientists are those who crack complex data problems with their strong expertise in data science which includes python programming concept, data analysis and interpretation .Their work is to work with  various mathematics, statistics, computer science related problems and provide a  growth solution to the organisation.

Research Analyst:

A research analyst is a professional who prepares investigative reports on securities or assets for  a client use and is responsible for researching, analyzing, interpreting, and presenting data related to markets, operations, finance/accounting, economics, customers, and other information related to the field they work in.

Software Developer / Engineer :

A software developer or en engineer who have the knowledge of Machine learning and can handle data science roles . People who are skilled in R, Python, Java or other relevant languages and having experts in knowledge graph mining or text mining.

Data Analyst :

- An analyst  who collects the data, processes it and performs statistical analysis. According to which he translates the figures into simpler language and helps the organisations and companies to understand how to make better business 

  • Placement Assistance
  • Live Project Assessment
  • Lifetime Career Support
  • Lifetime Training Membership (Candidate can join same course again for purpose of revision and update at free of cost at our any center in India or you can solve your query by online help)
  • Python Based Exam Scenario Preparation Included IN Training
  • Python Certification Preparation

Enrollment For Data science

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Mr Akhilesh Jain G

Akhilesh Jain

10+ Years Experience B.Tech, AWS-CSA, RHCE & RHCSS Expertise in Network Security & AWS

Mr. Rajat Goyal

Rajat Goyal

10+ Years Experience B.Tech, RHCE, RHCSS, Cloud Certified Expertise in Linux, Cloud & Scripting

Ravi Sarswat

10+ Years Experience MCA, RHCE, RHCVAExpertise in Linux & Virtualization

Mr . Gaurav Saluja

Gaurav Saluja

10+ Years Experience B.Tech, RHCA-Level5, RHCDS, RHCSS, RHCVA, RHCE Expertise in Linux Troubleshooting & Tuning

Sachin Yadav

Sachin Yadav

5+ Years Experience B.Tech, RHCE, Python Certified Expertise in R & Python ,Data science & Artificial Intelligence

Nidhi

Nidhi Sharma

4+ Years ExperienceMBA, Career CounselorExpertise in Career Counselling  

Mr. Pawan Khatri

Pawan Khatri

4+ Years Experience MCA, Career Counselor Expertise in Soft Skills Training

Nikhil Maheshwari

2.5 + years ExperienceB.Tech, RHCSA ,RHCEExpertise in Redhat Linux &Cloud computing(AWS)

Nidhi Singh Choudhary

4+Years Experience B.Tech , BDM , Softskills TrainerExpertise in Career Counselling and Softskills

Kushal Samota

3+years ExperienceB.Tech. Expertise in Redhat Linux, Ansible,DevOps,Docker ,Cloud

Shahrukh Khan

2+ years experienceB.Tech, Rhcsa,Rhce, Ansible,AWSExpertise in Linux,AWS And Ansible

Naveen Singh

15+ years experienceExpertise in Softskill and communication training,BPO training,IELTS &TOEFLManager-Placement and company tie ups

Vijender Kumawat

9+ years experienceM.tech, B.techExpertise in Digital Marketing

Ravi Swami

2+ years experienceB.Tech, Rhcsa,Rhce, Ansible,AWSExpertise in Linux,AWS And Ansible, Python MySQL

Rupesh Saini

BCA RHCSA, RHCE, Experties in Ansible Automation, RHCVA, Red Hat Enterprise Linux Diagnostics and Troubleshooting, Docker, Kubernetes, OpenShift, Server Security, CompTIA A+,CompTIA N+, CSCU

Jyoti Gautam

3 years experienceMCA Expertise in RHCSA, RHCE, AWS, Azure, GCP, Docker & container, K8, Openstack

Simran Grover

3 Years ExperienceB.TechExpertise in Python, Web Design(html,css,bs), Web Development, Data Science, Machine Learning, Data Analytics, Big Data

Mayank Sharma

1.5 Years ExperienceB.TechExpertise in AWS, Azure, RHCSA, RHCE,  Sys-Admin, Office365, Logic Monitor

27 Review(s)

Pintu saxena (Mar 2022)

One of the Trust-worthy institutions in Jaipur with some other branches in India. Guidance with up to the mark with good approach. Would like to thank specially Gaurav sir (owner) , Nidhi chaudhary(counseller) Naveen sir(Personalty development trainer). Please if you want to any summer /winter training or some job oriented courses than you must visit Grrass for once. 

Training Delivery
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Rating Score

5/5

Ritik Sharma (Apr 2020)

I have a good experience at grras solutions institute, even here everyone is supporting. Also, the workshops they give are fabulous. In one line , I only say " it is one of the best institute " in every aspect.

Training Delivery
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Rating Score

5/5

Niharika Chauhan (Apr 2020)

It have been wonderful experience with Grras ". I learnt Data Science with python here ,Trainers were always able to address every question we had and every problem immediately and adequately. It’s clear that our success and career is their top priority. I am thinking of persuing machine learning and big data hadoop also from Grras.

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Rating Score

5/5

Shivani Kanwar (Apr 2020)

Really nice learning with Grras. Best place to start something new from scratch and to get sucess . Supportive and experience trainers with best knowledge. Really good practical knowledge.Looking forward to gain more knowledge

Training Delivery
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Rating Score

5/5

Samyak Jain (Sep 2019)

I have completed my Data Science training from Grass Solution. It is the best platform of learn new things and apply them on practical application. Grras is extremely helpful for all students which is currently studying and studied before. Anytime we can take help from it and sometime online lecture is taken by faculties to resolve students problem. Grras is very best selection for me for my training

Training Delivery
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Rating Score

5/5

Radhe shyam saini (Aug 2019)

I am radhe and it is superb institution here you can feel a well experienced doveloper

Training Delivery
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Rating Score

5/5

Jitendra Singh (Aug 2019)

I'm from Udaipur, I've done data science course from here , my experience is good through the course and facilities is also excellent. Also good learning environment .

Training Delivery
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Rating Score

5/5

Akash Bhardwaj (Aug 2019)

Great ambiance. Skill grooming programms. Best faculty for python and data science.

Training Delivery
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Rating Score

5/5

Ishank gupta (Aug 2019)

I Ishank Gupta student of SKIT 3rd year doing my btech from IT branch. I get to know about Grras through my seniors and it found best under my knowledge and it served me with excellence of know and faculty member are really so helpful and even they helped me in various of field.

Training Delivery
Lab Infrastructure
Guidance

Rating Score

5/5

Ishank gupta (Aug 2019)

I Ishank Gupta student of SKIT 3rd year doing my btech from IT branch. I get to know about Grras through my seniors and it found best under my knowledge and it served me with excellence of know and faculty member are really so helpful and even they helped me in various of field.

Training Delivery
Lab Infrastructure
Guidance

Rating Score

5/5

Lokendra Singh Khangarot (Aug 2019)

I lokendra Singh student of SKIT 3rd year doing my btech from IT branch. I get to know about Grras through my seniors and it found best under my knowledge and it served me with excellence of know and faculty member are really so helpful and even they helped me in various of field.

Training Delivery
Lab Infrastructure
Guidance

Rating Score

5/5

Kanishk (Aug 2019)

The faculty is very knowledgeable. They what to teach and how to tech so that students can easily understand the concepts and they are supportive as well. Overall the experience was good and great environment.

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Rating Score

5/5

Dilip kumar (Aug 2019)

I have completed my data science course from grrass instruction . Mentos here were very helpful and skills they possess were really amazing.very supportive and always available to solve any doubt.

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Rating Score

5/5

Abdul Mateen (Aug 2019)

I have completed my DATA SCIENCE course from this institution. Mentors here were very helpful and the skills they possess were really amazing. They were very supportive and always available when it comes to doubt solving. The environment was very good. The practical n theoretical knowledge provided by the institute was on the mark.

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Rating Score

5/5

Avadhesh Khandelwal (Aug 2019)

I am a btech student who has taken the course of data science here Its has a quite good and friendly environment, faculties are good and are always helpful Classes are best for studies.

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Rating Score

5/5

Kapil soni (Aug 2019)

My name is Kapil Soni I am pursuing b.tech from skit college. I have taken training for python with Data science. I got friendly like environment. Teacher are very interactive and supportive.

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Rating Score

5/5

RichaChaturvedi (Jul 2019)

Awesome faculty and Good learning environment

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Rating Score

5/5

Rahul sharma (Jul 2019)

Good experience deliver by the mentors

Training Delivery
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Rating Score

5/5

Rahul sharma (Jul 2019)

Good experience share by teacher

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Rating Score

5/5

Pratik Chouhan (Jul 2019)

course of python was excellent. I studied it from Sachin sir. I choose python with data science. And a really great place to learn new advanced technology and enhance your future skills.The environment of study is very good and trainers are co-operative.overall experience was excellent.

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Rating Score

5/5

Manuj Haritwal (Jul 2019)

A perfect place for summer training courses with a friendly environment provided by the faculties

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Rating Score

5/5

Piyush Nagar (Jul 2019)

Experienced trainers, in depth coverage of topics including python, r and data science

Training Delivery
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Rating Score

5/5

Harshit Dwivedi (Jul 2019)

This is a very good institute for Internships and Training. I did advance Python from here and I find it better than many institutes here in Jaipur. The feculty is very supportive and provides a very positive environment.

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Rating Score

5/5

Harshit Dwivedi (Jul 2019)

Nice

Training Delivery
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Rating Score

5/5

Shashank tak (Jul 2019)

Nice faculty and patient...who proved or could be the best mentors and very much supportive and encouraging.

Training Delivery
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Rating Score

5/5

Deependra Singh (Jul 2019)

I am a B.Tech student, I have taken training for Data Science. Here, I got friendly (or Family) like environment. There are best faculties who helped me where I have faced problem. Even, we can come anytime during the office timings to resolve our doubts.

Training Delivery
Lab Infrastructure
Guidance

Rating Score

5/5

Deependra Singh (Jul 2019)

I am a B.Tech student, I have taken training for Data Science. Here, I got friendly (or Family) like environment. There are best faculties who helped me where I have faced problem. Even, we can come anytime during the office timings to resolve our doubts. It is the Best to groom our technical skills.

Training Delivery
Lab Infrastructure
Guidance

Rating Score

5/5

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