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).
On successful completion of the course, candidates will be able to:
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
The workshop was great. I learned the methodologies well and passed the exam.Attended workshop in January 2018
Comprehensive training from the ground up, setting me up for a successful certification and effective adoption at the workplace.Attended workshop in January 2018
I attended CSPO (Certified Scrum Product Owner) training session by Knowledgehut in Bangalore on Dec 21-22. The trainer did an excellent job of incorporating everyone’s experience and his experience in all the companies he worked on earlier. He even answered all doubts/questions separately, did not leave a single question unanswered.The facilities in the venue (Davanam Sarovar, Madiwala) was also managed very well.Attended workshop in December 2017
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: http://www.knowledgehut.com/refund
Please send in an email to firstname.lastname@example.org, 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.