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Course Description

In this course the student will develop technical analytical skills to support data-driven decision-making. Beginning with the study of SQL and Python, students will learn how to to store, access, and manipulate data in relational databases. Statistical tools will be discussed to understand uncertainties and predictive capabilities of data models in supporting decisions. Visualization techniques will be introduced to understand how the presentation and communication of data provides insight into the analysis and decision making.  The course concludes with a capstone project in which students work in teams to apply the knowledge and skills that are applicable to a real world problem and data set. Capstone projects will be presented on the last day of class.

 

 

Minimum Computer Requirements for the Data Analytics Bootcamp:

  • Webcam, microphone, and speaker
  • Connectivity: A broadband connection
  • Browser: The most recent version of Google Chrome, Safari, or Firefox  
  • Platform: A computer with at least a 1.6 GHz processor, 4GB of RAM and 20 GB free hard disk space  
  • Operating system: Windows 8 or newer, OS X 10.6 or newer, or Ubuntu 12.04 or newer, or the equivalent. OS X and Linux are strongly encouraged.
  • A command prompt available (Powershell on Windows, Terminal on OS X or Linux).
  • Administrative Rights to install software on your computer

 

Course Objectives

Learning Objectives:

  • Explore the programming technologies involved in data analysis and visualization

  • Acquire an understanding of how data analysis improves the decision-making process

  • Explore the strategic and operational value of using data for decision making.

  • Identify data sources and create analytical data sets

  • Perform statistical analysis to test the validity of data analysis and decisions

  • Demonstrate the ability to clearly communicate analysis results

  • Understand ethical considerations in data analysis and decision making

Notes

Minimum Computer Requirements for the Data Analytics Bootcamp:

  • Webcam, microphone, and speaker
  • Connectivity: A broadband connection
  • Browser: The most recent version of Google Chrome, Safari, or Firefox  
  • Platform: A computer with at least a 1.6 GHz processor, 4GB of RAM and 20 GB free hard disk space  
  • Operating system: Windows 8 or newer, OS X 10.6 or newer, or Ubuntu 12.04 or newer, or the equivalent. OS X and Linux are strongly encouraged.
  • A command prompt available (Powershell on Windows, Terminal on OS X or Linux).
  • Administrative Rights to install software on your computer

 

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
Live Online
Days
F
Time
6:30PM to 7:30PM
Dates
Sep 12, 2025 to Dec 05, 2025
Type
Live Online
Days
Sa
Time
9:00AM to 11:30AM
Dates
Sep 13, 2025 to Dec 06, 2025
Schedule and Location
Contact Hours
95.0
Location
Course Tuition
Tuition non-credit $6,995.00
Instructors
Required Software
Minimum Computer Requirements for the Data Analytics Bootcamp: Webcam, microphone, and speaker Connectivity: A broadband connection Browser: The most recent version of Google Chrome, Safari, or Firefox   Platform: A computer with at least a 1.6 GHz processor, 4GB of RAM and 20 GB free hard disk space   Operating system: Windows 8 or newer, OS X 10.6 or newer, or Ubuntu 12.04 or newer, or the equivalent. OS X and Linux are strongly encouraged. A command prompt available (Powershell on Windows, Terminal on OS X or Linux). Administrative Rights to install software on your computer IMPORTANT: If you are using your employer's computer to take the Data Analytics Bootcamp, it is likely you may not have administrative rights due to security reasons. It is critical prior to the first day of class you have access to a computer with administrative rights.
Section Notes

Welcome to Live Online! 

You will experience:

  • live lectures, discussions, activities, and the dynamic exploration of topics and concepts
  • the immediacy of live connections with the instructor and your peers to challenge and encourage innovative thinking and the meaningful exploration of ideas
  • scheduled lectures, discussions, and presentations with a comparable level of interaction as classroom attendance
  • networking and the creation of social connections with other professional learners in a global classroom

 

Data Analytics Module 1 - Data Analytics Foundation/Python Basics Starts September 12, 2025
Data Analytics Module 2 - Advanced Python  
Data Analytics Module 2 - SQL  
Data Analytics Module 3 - Statistics  
Data Analytics Module 4 - Data Visualization Ends, December 6, 2925
Data Analytics Module 5 - Capstone  
   
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