Certificate in Data Science (CDS)

Course Methodology

All analytical methods and solutions are elaborated with step-by-step case studies with practical, hands on experiences. An exhaustive documentation will cover analytical topics with an exclusive face-to-face comparison between SAS, SPSS, STATISTICA, Excel, R and Python. 

Course Objectives

By the end of the course, participants will be able to:

• Understand and design data for efficient analysis
• Compare solutions related to Data Analysis vs. Machine Learning
• Differentiate between predictive models and pattern finding ones
• Decide between “proprietary” and “open source” technologies
• Outline the modern data flow from sources to reports
• Manage Data Science projects with project management best practices
  
  
  

Target Audience

This course is for specialists who aspire to become accustomed with data science components, and how they can be applied coordinately to solve data and business problems, as well as research issues. The course is specifically suited for managers and persons involved in marketing, CRM, research, manufacturing, quality control, app developers and IT analysts from almost any sector, such as banks, insurance companies, retail, governments, manufacturers, healthcare, telecom, transport and distributors.

Target Competencies

•  Business data analysis
•  Data analytic validity
•  Judging AI algorithms
•  Evaluating IoT platforms
•  Comparing big data results