In many cases, the amount of data an organization needs to analyze is so vast that it cannot be done on a single computer. For such “big data” projects, organizations must rely on cloud computing. In Big Data and Data Science, you will learn advanced techniques for the analysis of big data using cloud-based infrastructure including MapReduce and a Hadoop cluster as you complete a project to determine customer sentiment towards smart phone brands as it has been expressed on the World-Wide Web. High-performance analytics projects are increasingly being implemented in the Python programming language using specialized libraries. After completing the big data project, you will go on to complete two projects, following a principled data science process you will define, using Python, and Python libraries for machine learning, data preprocessing, and visualization.
8 weeks full time
16 weeks part time
Data Analytics 1: Fundamentals of Data Analytics
Included in course
Our courses are entirely online, but they are not like any online courses you have ever seen. You will not be watching boring video lectures and taking tests; you will learn by doing with the help of knowledgeable mentors who are always available to provide advice and feedback on your work.