ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important ...

Introduces concepts and skills fundamental to Data Science including: getting data, data wrangling, exploratory data analysis, basic statistics, data visualization, data modeling, and learning. The ...

data science typically translates well to an online learning format. Students in this specialization focus on applied statistics, using algorithms to develop marketing models, predictive modeling ...

Upon completing the program, students master R programming skills, statistical concepts including probability and modeling, machine learning algorithms and essential data science tools and concepts.

Topics will include matrix algebra and vector spaces, which are essential for understanding mathematical models and statistical methods used in data science, and numerical mathematics and optimization ...

The last decade has seen an explosion of data generation from individuals, businesses and institutions worldwide. As these organizations increasingly rely on data-driven decision-making, the demand ...

Data-sparse method opens door to personalized nutrition -- without the stool samples. If you eat a snack -- a meatball, say, or a marshmallow -- how will it affect your blood sugar? It's a ...

ENVIRONMENT: FACILITATE data-driven decision-making and improving company operations as the next Data Scientist sought by a Durban-based Financial Services company. You will develop and execute ...