Software & Analytics colleagues, master the skills necessary to become a successful Data Scientist. You will work on projects designed by industry experts, run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. Skill-based training modules and hands-one projects include: 1) Solving Data Science Problems (Project: Write a Data Science blog post), 2) Software Engineering for Data Scientists, 3) Data Engineering for Data Scientists (Project: Build a data science pipelines with Figure Eight), 4) Experiment Design and Recommendations (Project: Design a recommendation engine with IBM), and 5) Data Science Projects (Project: Data science capstone project). Recommended prerequisites: familiarity with machine learning concepts, Python programming, probability, and statistics.
Register today: https://fxo.co/9nmz
Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA)
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