Evaluate and apply fundamental statistical concepts in the context of a broad range of data problems, including Bayes Theorem, standard statistical tests and biases, inference and causal inference, and hypothesis testing
Perform in-depth exploratory analysis to form hypotheses and use visualization techniques to communicate insights
Design experiments to answer causal questions and evaluate the results of the experiments
Apply and evaluate machine learning algorithms in a business problem context, with an emphasis on selective predictive modeling only when appropriate
Perform feature engineering and data preprocessing to improve the accuracy and efficacy of predictive models
To be considered for a Certificate program, you must be a high school graduate or have completed your GED.
20 hours per week
N/A
Data Analytics
Emmitsburg, Maryland
Undergraduate
Full-time,4 years
N/A
0.0
Not mentioned,
Brighton, England
6.0
Undergraduate
15300
Liverpool, England
6.0
Undergraduate
12500
Cambridge, Chalmsford & Peterborough
0.0
Undergraduate
£ £7,500