Descriptive & Multivariate Statistics - Fundamentals
Data Analysis
Hard Skills
This set of questions tests the ability to interpret statistics and graphs, which are essential elements for being able to contextualize analysis to the context in which one operates. The multiple-choice questions explore the ability to use advanced multivariate statistical techniques, which are necessary in contexts where understanding the data is essential for business decisions. They are suitable for people with short or no prior experience, as long as they have been familiar with these concepts at a professional level, with prior experience in Data Analytics, or at an academic level, as well as for people with higher seniority.
Matterscovered.
- Principles of Descriptive Statistics
- Principles of Multivariate Statistics
- Multivariate Statistics analysis techniques (Clustering, ACP, etc.).
Author bio
Sidi Mohamed El Alaoui: Graduate in Statistical Science. Data Analytics Manager with 5 years of data experience in Sorint.tek, with previous experience in RGI Group and Accenture. He has acquired a technical background in Big Data Analytics in both Data Science and Business Intelligence. For the past 3 years, he has been managing several projects spanning various technology stacks, on major business-level entities.