studying on several MOOCs. The University of California at Berkeley recently offered two courses on Apache Spark. And Johns Hopkins University has been offering a multi-module Data Science Specialization course for several years. The courses from both universities have been very popular. However, how do such courses compare with other forms of training and education? What is the time commitment required? What is the skill level required? This presentation will answer these questions and more.
(Reuters) – Academic (City University) – Consultant (Logica) – Technical Architect (CA) – Senior Architect (Informix) – Senior IT Specialist (IBM) – TI (Hortonworks) – SA (DataStax) • Worked with various technologies – Programming languages – IDE – Database Systems • Client-facing roles – Developers – Senior executives – Journalists • Broad industry experience • Community outreach • University relations • 10 books, many presentations
3. Getting and Cleaning Data 4. Exploratory Data Analysis 5. Reproducible Research 6. Statistical Inference 7. Regression Models 8. Practical Machine Learning 9. Developing Data Products 10. Data Science Capstone