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In collaboration with Data Society, the Data Master course is for learners who are confident in their basic data science knowledge, have foundational R skills, and would like to progress toward more advanced work with data. This course consists of eight – 4-hour courses and a capstone project that hone the skills to mine data, perform advanced statistical and predictive analytics in R, build classification models, and forecast outcomes. Professionals and organizations can leverage these techniques to streamline analyses, improve efficiency, and drive better decisions.
The second pathway, Data Master, will explore more advanced topics and skills than what was started in the first pathway, Data Practitioner.
Utilize R to analyze data
Streamline and automate statistical and predictive analyses
Discover patterns in data
Perform predictive analytics
Apply new skills to real business use cases
Data Practitioner course completion or proficient in Data Practitioner skills
Upon completion of the program, students will receive a Certificate in Data Analytics.
Empower Yourself with the Skills That Drive Advanced Analytics.
In this course, learners develop capabilities to create powerful tools and models that generate actionable insights. This program is essential for data analysts and data scientists who need to deploy advanced analytics in data mining. As a culminating experience, learners can make their wealth of new knowledge come to life by addressing real-world problems in capstone projects.
Data Society trains Fortune 1000 companies and government agencies to assess their levels of data literacy, train, and then integrate data into their daily work—teaching them to discover innovative ways of using data science, AI, and ML to achieve organizational goals. Most recently, Data Society surpassed its Inc. 5000 2021 ranking of No.1834 to reach No. 847 on this year’s list of the nation’s fastest-growing companies.
3.2 CEUs
Simple Linear Regression in R
Multiple Linear Regression in R
Intro to Clustering in R
Intro to Classification
Logistic Regression in R
Decision Trees in R
Ensemble Methods in R
Capstone
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