Data Science Bootcamp
Stanford University
Data Science Bootcamp

Data Science Bootcamp

After the overwhelming success of the Bootcamp in 2019, Dr. Shakoohi-Yekta will be presenting his extremely popular session at AI Everything.. Thie course is one of the most popular courses at Stanford with hundreds of students waitlisted each quarter. Upon completion of this course you will have the requisite information about how data science can be applied in your organization which will make you an invaluable member of the team that will drive adoption and implementation of AI.
No computer science experience is necessary.
The workshop will take place on both days, 10 & 11th March 2020. Please note this workshop is paid (AED 3500 AED 2000 (Valid until Jan 16)
AGENDA
AGENDA

  • Inspiring applications of Data Science
  • Introductory programming and visualization in R
  • Applied machine learning in R
  • Install/run R and RStudio
  • Data visualization and creating meaningful plots using the “ggplot2” package
  • Predictive modeling including regression analysis and classification methods
  •  Clustering algorithms
  • Building recommender systems by applying association rule mining

Course Instructor
Course Instructor

Dr. Mohammed Shokoohi Yekta, Lecturer, Stanford University
Mohammad is currently a Data Scientist at Apple and a Lecturer at Stanford University. Prior to joining Apple, he worked for Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. He received a PhD in Computer Science from the University of California, Riverside. Mohammad is also the author of the book, “Applications of Mining Massive Time Series Data.”

Course Instructor
Stanford University
About
Stanford University

Stanford University is one of the world’s leading research universities. It is known for its entrepreneurial character, and its relationship to Silicon Valley. Areas of excellence range from the humanities to social sciences to engineering and the sciences. Stanford is located in California’s Bay Area, one of the most intellectually dynamic and culturally diverse areas of the nation.