This exam focuses on the practice of data analytics, the role of the Data Scientist, the main phases of the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the theory and methods of big data analytics, advanced analytics and statistical modeling, the technology and tools that can be used for bigdata analytics, operationalizing an analytics project, and data visualization techniques.
This course provides access to Data science & Bigdata Analytics practice exam for candidates to self-assess their data science-readiness against the full course of certification objectives focusing on engineering data solutions in MapReduce and understanding the Hadoop ecosystem (including Hive, Pig, Sqoop, Oozie, Crunch, and Flume), analysis using R, data science principles and tools.
This practice exam is the most effective way to work to assess your data science interview readiness:
60 questions simulating live interview / certification exam with 90 minute time limit.
Rich pool of 110+ questions based on many interviews and authentic course-ware.
Overview of correct/incorrect answers to help you identify your mistakes.
Mobile-enabled for smartphones and tablets — study anytime, anywhere.
Take this course and measure your readiness for the data science certification exams and interviews.