Big Data Means Big Opportunities
The Online Data Analytics Certificate Program will teach you how to solve a broad range of problems using a variety of predictive analytics and statistical techniques. The program focuses on examining the vast amounts of data now generated by organizations and their customers and employees during online transactions, in order to develop informed strategies. It is designed to enhance the ability of professionals from any field to utilize data analytics and big data when making decisions. You will learn to apply statistical machine learning and other techniques to data sets, and you will discover how to collaborate with information technology and other specialists in collecting, maintaining and analyzing data to better inform decisions.
The program provides a 100% project-based, learn-by-doing experience, and while the program is online, our program participants are not alone. As a cohort-based online program, our participants often work on their projects in small groups, and all participants are matched to an expert data science mentor, who provides help, advice and feedback throughout the course of the program.
- Professionals who want to acquire new skills in the areas of data analytics and big data
- Accounting, IT and engineering professionals
- Marketing professionals
- Anyone who reports on business processes
- Anyone responsible for benchmarking or strategy development
- Learn Python, Rapid Miner, R, R Studio, SQL, Hadoop, Machine Learning, Numpy, Pandas, Elastic Map Reduce, Amazon Web Services and more.
- Translate business objectives into data mining opportunities
- Install, run and apply statistical machine learning tools to different kinds of data
- Apply data mining in e-commerce becoming broadly competent in the use of the statistical machine learning techniques of classification and regression.
- Acquire, process and analyze extremely large data sets using cloud-based data mining methods to do data exploration, discover patterns and answer business questions
- Develop the confidence to succeed as a professional analyst by building a Professional Portfolio that includes end-to-end project experience on practical data analytics projects
Applicants are required to have:
- Two years of work experience
- Familiarity with Windows, Mac or Linux operating system, specifically:
- Creating and managing folders within folders
- Creating and extracting files from zip archives
- Elementary administrative tasks (e.g., installing software requiring admin privileges)
- Basic familiarity with Microsoft Office or an equivalent productivity suite