DexLab Analytics is prepared to launch a new Machine Learning training course using Spark and Python. This is a one of kind training module which is the first of its kind in India. An online demo session for the course will be available on the 18th of September, 2016, Sunday at 11 AM. The session will be conducted by their in-house Machine Learning trainer who has more than 13 years of experience in the field of Big Data, Information Technology and software. To join this live demo session interested participants are required to fill up an online form available at all the social media channels of DexLab Analytics along with their website. People keen to know more about this session can also mail the person in charge of the event on email or via phone. Machine Learning is usually not taught using Python and Spark and will offer in-depth instruction on the topics of statistical modelling and mathematical algorithm.
The session will be held online through a platform called as GoTo Meeting. All interested people who are keen on learning Machine Learning with in-depth instruction and hands on training are welcomed to join this interactive live demo session this Sunday. The CEO of the institute stated on the issue by saying, “this way the customers will be able to assess the quality of the course with a short glimpse into what is coming”. He further added that “this I think is the first ever endeavour any educational institute has made to make the process completely transparent for students”.
About the company:
DexLab Analytics is one of the pioneering institutes of data analytics and Big Data management coaching in India. They offer a range of courses on data science with R Programming, SAS and other data visualization tools like Big Data Hadoop. Machine Learning is a new addition to their course list which is prepared to be launched soon enough.
Contact details:
Gurgaon (Head Office)
K-3/5, DLF Phase 2, Behind Central Arcade, Gurgaon 122 002, Delhi NCR.
(Landmark: Sahara Mall, M. G. Road)
Email: hello@dexlabanalytics.com
Phone No. : +91 852 787 2444