Why Attend
The Certificate in Data Science course offers participants an in-depth understanding of Data Science best practices and provides a foundational overview of the Big Data ecosystem and Artificial Intelligence opportunities. It goes beyond analytics, encompassing all disciplines connected to modern data. By the end of the course, participants will gain expertise in advanced techniques and technologies, enabling them to extract valuable insights from data and collaborate effectively with professionals in advanced data management fields.
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 structure data for effective analysis
- Evaluate solutions for Data Analysis versus Machine Learning
- Distinguish between predictive models and pattern-detection models
- Make informed choices between proprietary and open-source technologies
- Map the modern data workflow from raw sources to finalized reports
- Oversee Data Science projects using 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
