In this course, you will gain practical foundation level training that enables immediate and effective participation in big data and other analytics projects. You will cover basic and advanced analytic methods and big data analytics technology and tools, including MapReduce and Hadoop. The extensive labs throughout the course provide you with the opportunity to apply these methods and tools to real world business challenges. This course takes a technology-neutral approach. In a final lab, you will address a big data analytics challenge by applying the concepts taught in the course to the context of the Data Analytics Lifecycle. You will prepare for the Proven Professional Data Scientist Associate (EMCDSA) certification exam, and establish a baseline of Data Science skills.
To complete this course successfully and gain the maximum benefits from it, you 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)
- Experience with SQL