Training with Iverson classes

Training is not a commodity – all training centres are not the same. Iverson Associates Sdn Bhd is the most established, the most reputable, and the top professional IT training provider in Malaysia. With a large pool of experienced and certified trainers, state-of-the-art facilities, and well-designed courseware, Iverson offers superior training, a more impactful learning experience and highly effective results.

At Iverson, our focus is on providing high-quality IT training to corporate customers, meeting their learning needs and helping them to achieve their training objectives. Iverson has the flexibility to provide training solutions whether for a single individual or the largest corporation in a well-paced or accelerated training programme.

Our courses continue to evolve along with the fast-changing technological advances. Our instructor-led training services are available on a public and a private (in-company) basis. Some of our courses are also available as online, on demand, and hybrid training.

EMCDSA : Data Science and Big Data Analytics v2 (VILT available)

Course and Certificate TRAINING AND CERTIFICATION
Please let us know your name.
Please let us know your email address.
Invalid Input
Invalid Input
Invalid Input
Invalid Input

Overview

This course provides practical foundation level training that enables immediate and effective participation in Big Data and other analytics projects. It includes an introduction to Big Data and the data analytics lifecycle to address business challenges that leverage Big Data.

The course provides grounding in basic and advanced analytic methods and an introduction to Big Data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist.

The course takes an “open”, or technology-neutral approach and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the data analytics lifecycle. The course prepares the student for the Dell EMC Proven™ Professional Data Scientist Associate (EMCDSA) certification exam.

Audience Profile

This course is intended for individuals seeking to develop an understanding of Data Science from the perspective of a practicing Data Scientist, including:

  • Managers of teams of business intelligence, analytics, and big data professionals
  • Current Business and Data Analysts looking to add big data analytics to their skills.
  • Data and database professionals looking to exploit their analytic skills in a big data environment
  • Recent college graduates and graduate students with academic experience in a related discipline looking to move into the world of data science and big data
  • Individuals seeking to take advantage of the EMC Proven™ Professional Data Scientist Associate (EMCDSA) certification

Prerequisities

To complete this course successfully and gain the maximum benefits from it, a student should have the following knowledge and skill sets:

  • A strong quantitative background with a solid understanding of basic statistics, as would be found in a statistics 101 level course
  • Experience with a scripting language, such as Java, Perl, or Python (or R). Many of the lab examples taught in the course use R (with an RStudio GUI), which is an open source statistical tool and programming
  • Experience with SQL

At Course Completion

Upon successful completion of this course, participants should be able to:

  • Immediately participate as a data science team member
  • Work with large data sets and generate insights
  • Build predictive and classification models
  • Manage a data analytics project through the entire lifecycle

Course Outline

RM11,750.00(+RM705.00 Tax)
* Training Dates:

* Price excludes Exam

Course Information
EXAM CODE
DEA-7TT2
DURATION
5 Days
CERTIFICATION
EMC Data Scientist Associate
Schedule

13-17 April 2020

22-26 June 2020

24-28 Aug 2020

12-16 Oct 2020

25-29 Jan 2021

We are using cookies to give you the best experience on our site. By continuing to use our website without changing the settings, you are agreeing to use of cookies.
Ok Decline