Introduction

Analytics is the systematic discovery of meaningful patterns in data to support decision-making. Data rules the business world today. Companies using data are the ones with the competitive edge. Business Decision making requires insights faster than ever. With complexity in data becoming more and more the need for data driven insights in palatable form is more and more important.

WCDS

It’s a globally recognized certificate offered by 200 year old billion dollar company WILEY. WCDS certification is a collection of courses that teach skills in several core technology tracks that help you excel in the industry’s newest job roles. This certification program provides real-world skills and hands-on instruction that keeps pace with the technology industry. These courses can be rigorous but rewarding and is more than just a bullet point in your resume. It will be a proof that you are professionally, inquisitively and intellectually capable enough to handle data with moderate analytics skills for using various related tools and technology.

Objectives

  1. Deep skills in working with the entire data analytics lifecycle
  2. Hands-on knowledge of working with R, Hadoop ecosystem, Spark, NoSQL and Tableau Public
  3. In-Depth understanding of business aspects of data
  4. Expertise in advanced analytics visualization techniques to analyze data, create statistical models and provide business insights
  5. Extensive lab work with R, Hadoop ecosystem, Spark ecosystem and Tableau Public

Certification:

WILEY International Certification – WCDS (Wiley Certified Data Scientist)

Who can attend

  • Data analyst
  • Data science enthusiasts
  • Analytics professionals

Eligibility

  • Mandatory training has to be completed from Authorized Training Partner (Pre-Requisite for certification)
  • Foundations in Statistics (Measures of central tendency and averages, Measures of dispersion and Probability)
  • Familiarity with creating graphs, histograms, and scatter plots
  • Familiarity with databases, tables, and fields, spreadsheets and computations
  • Good understanding of JAVA programming language and Core Java
  • Understanding of SQL statements
  • Introduction to Big Data
  • Introduction to analytics and R programming
  • Data Analysis using R
  • Big data analytics methods
  • Advanced Analytics Using R
  • Machine Learning Concepts
  • Storing and Processing Data in Hadoop
  • Hive and Pig
  • Spark and Scala
  • NoSQL