Official Description

8.0 Continuing Education Units (CEUs)

Introduction to fundamental analytical methods, tools and techniques used to collect, analyze, interpret and predict business outcomes based on data. Overview of NoSQL databases, RDBMS databases and data structures. Complete data processing cycle and predictive analytics using machine learning with Alteryx, Excel, SQL and Tableau to analyze data, create forecasts and models, design visualizations, and communicate insights.


Supplementary Information

20 hours of lectures and 60 hours of independent study; course includes synchronous and asynchronous activities.



This course is aligned with the IIBA’s Certification in Business Data Analytics (IIBA®-CBDA) competencies. More information.

Topics Covered

  • Introduction to Database Systems and SQL  
  • Exploratory Data Analysis  
  • Sampling Distributions  
  • Regression Models  
  • Classification Models  
  • Machine Learning Models
  • Unsupervised Learning  
  • Simulation Techniques

Learning Outcomes

The course is designed to enable you to:

  • Retrieve data from database management systems using SQL statements
  • Explore and analyze data visually
  • Select and apply the correct type of analytic technique required for different problems and datasets
  • Build and evaluate classification and regression models
  • Present the analysis results and insights to stakeholders


This course is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalized feedback on every exercise.

Once registered, students get free access to DataCamp for 6 months and Tableau Desktop and Alteryx Designer for the duration of the course.


Applies Towards the Following Programs


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