Data Science Training
Rated 4.0/5 based on 300 customer reviews

Data Science Training

Enhance your career prospects with KnowledgeHut’s Data Science Training

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Modes of Delivery


Our classroom training provides you the opportunity to interact with instructors and benefit from face-to-face instruction.

Online Classroom

Collaborative, enriching virtual sessions, led by world class instructors at time slots to suit your convenience.

Team/Corporate Training

Our Corporate training is carefully structured to help executives keep ahead of rapidly evolving business environments.

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Rapid expansion in the world of big data and data analytics has created a huge demand for data scientists; experts in the field who can mine the data and extract valuable information from it. Data scientists redefine the role of the business analyst, by examining big data from multiple sources. Through intelligent application of analytic tools and techniques, they get valuable insights that can provide business advantage, or address complex issues related to the formulation of business strategy. They question, analyse, take informed decisions and recommend solutions to take the business forward.

Data Science graduates who understand the basics of machine learning, including data mining and predictive analytics, are in great demand across the globe. Our course combines R programming, Hadoop and Machine Learning implementation with Apache Mahout for the discerning Data Science student.

On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut with Credits (1 credit per hour of training).

What you will learn

On successful completion of the course, candidates will be able to:

  • Understand the responsibilities of a Data Scientist
  • Analyse Big Data using R, Hadoop and Machine Learning.
  • Learn about the processes involved in the Data Analysis Life Cycle
  • Learn how to use data formats including XML, CSV and SAS, SPSS
  • Transform data using best practices and tools
  • Learn to implement various Data Mining techniques
  • Understand the use of machine learning algorithms in R
  • Analyse data using Hadoop Mappers and Reducers
  • Learn the basics of Apache Mahout
  • Follow best practices in data visualization and optimization techniques
You will also get:
  • 30 hours of training
  • Get to work on a real-time project that demonstrates your understanding of the course material
  • Assignments that check your comprehension of the course concepts

Key Features

30 hours of online classroom sessions
40 hours of comprehensive assignments
20 hours of project work
Expert advice and tips for understanding the Data Analysis Life Cycle
Industry wise Case Studies to understand the applications
Course completion certificate will be provided


  • Introduction to Data Science
  • Roles and Responsibilities of a Data Scientist
  • Architecture and Methodologies used to solve Big Data problems
  • Data Manipulation Using R
  • Machine Learning Techniques Using R
  • What is Hadoop all about?
  • Integrating R with Hadoop
  • Introduction to Mahout
  • Implementing Algorithms
  • Some more Mahout Algorithms and Parallel Processing Using R
  • Project

Our Students See All

Extremely satisfied. The program was structured in a creative manner, practising what it preached, with plenty of examples and exercises. Facilitator kept training interesting. Knowledgehut Support Team provided excellent service! Thank You!Would surely recommend the training to others.

Attended workshop in November 2017

It was a very good training. The trainer is well presented and has immense knowledge and clarified all the questions.

Attended workshop in May 2018

Great course. An interesting and interactive session to better understand how to succeed in formulating a business case and how to present it effectively.

Attended workshop in May 2018

The workshop was very interesting and interactive. All the concepts was clearly covered in the session. All the doubts and queries was solved with good example. Overall it was a good experience.

Attended workshop in May 2018
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Prasad Anvekar

SDE 1 at TESCO from Bangalore, India
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Shyamsundar Chittawadgi

Consultant at Capgemini from Bangalore, India
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Wily Salim

Services Project Engineer at Lendlease from Sydney, Australia
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Vinit Menon

Manager at Thomson Reuters from Mumbai, India

Frequently Asked Questions

While there is no specific prerequisite for attending the course, knowledge of Java and a passion for Mathematics would be of benefit. If you have some core knowledge Of Hadoop, R and Mahout, you will be able to grasp the course material faster.

Yes, this is conducted as a virtual course. Call us for more information on the same.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

You will receive 1 credit per hour of learning.

The trainers are highly qualified and certified instructors with years of relevant industry and coaching experience who will hand hold you through the workshop and ensure your success.

It is easy to enroll for classroom training online. There are several options to pay either through your debit/credit card that includes Visa Card, MasterCard; American Express or - via PayPal. Payment receipt will be issued to the candidate automatically by email.

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding). Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details:

Please send in an email to, and we will answer any queries you may have!

The role of a data scientist is one that is highly respected and extremely rewarding. Expert data scientists are much in demand across the world, as the use of the information stored in big data has become a key interpreter of competition and growth between firms. By optimising the use of big data, companies can find innovative ways of enhancing productivity and capturing the market to leave the competition behind.

The course is suitable for candidates wishing to learn machine learning techniques with implementation in R language, and apply these techniques on Big Data.

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