Data science has matured into a cross functional discipline. In simple terms, its main purpose is to extract meaningful information from a variety of data sources. This definition is very general and must be explored in more detail to understand the building blocks needed for success. Related workgroups must understand each other and work together to make meaningful impact.
Effective data science is a critical enabler for companies to become “data-driven” and to “compete on analytics”. To give shape to data science as a discipline, this course introduces core principles and concepts to provide a solid foundation of understanding. Data science is described in terms of its, purpose, capabilities, techniques, approaches and skills. It’s dependencies on other disciplines and how it enables value creation within the broader “data-driven” ecosystem is also provided.
This course introduces data science and sets the stage for understanding how process, data, skills, culture, methodology and technical building blocks collectively drive results.
About the Course (10 min)
Setting the Stage (60 min)
Introducing Data Science (49 min)
Being Data Driven (26 min)
Data and Technology Landscape (88 min)
Modeling and Analysis Techniques (55 min)
–here- to download a more detailed outline of this course.
This exam tests knowledge and understanding of basic concepts, principles, and terminology of data science projects.
Number of Questions: 25
Time Limit: 50 Minutes
Passing Score: 70%
Once you pass the exam, you will receive a Certificate of Education documenting that you have demonstrated mastery of the topic.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about CIMP exams.