Data Analytics and Visualization Capstone

Course Available
2 Units
Online Fixed-Date

Course Description

Demonstrate Your Newfound Data Analytics Skills in a Data Analysis with Visualization Report

This course is the capstone course for the Data Analytics and Visualization Certificate program. The goal of this course is to integrate the knowledge and skills gained from the three previous courses to create a proposal, prepare and analyze data, create visualizations, and present a comprehensive data analytics project. Visualizations will include graphs and charts embedded in the presentation, as well as a final interactive dashboard, ideally hosted on the web for use in the student e-portfolio. Upon completion of this data analytics and visualization course, students will be able to effectively utilize Excel, Tableau, Python, and R for data analysis in a variety of professional settings.

Course Details

Number of Units: 2.0 graduate level extension credit(s) in semester hours

Who Should Attend: This course provides continuing education for working professionals in a wide variety of industries or currently enrolled undergraduate students, including those who are:

  • Interested in Data Analytics and Data Visualization
  • Lifelong learners curious about the effect of data on decision-making in the present data climate
  • Managers who want to elevate their understanding of current, in-demand tools and data-driven communication
  • Seeking to boost their resumes for a career in data analytics in any industry

Course Materials:

Required Applications:

  1. Microsoft Word or equivalent (for proposal)
  2. Microsoft Excel, R, and Python (for analysis)
  3. Tableau Public (for dashboard)
  4. Microsoft PowerPoint or equivalent (for final presentation)

Technical Requirements

Prerequisites:

This is the fourth and final course in the Data Analytics and Visualization Certificate program. 

Required successful completion of:

  • DAV-X800 Essentials of Analytics in Excel
  • DAV-X801A Data Visualization & Storytelling in Tableau
  • DAV-X801B Data Analytics with Python and R

A Bachelor's degree or currently in a bachelor's program, with a basic mathematics background preferred, with at least one course, preferably, in basic statistics taken at the college level.

Course Options

Course Date Units Price
DAV-X802 – 004 25 Oct 202212 Dec 2022 2 $1375

Data Analytics and Visualization Capstone

25 Oct 202212 Dec 2022
2
$1375
Online Fixed-Date
Online
Azucena Faus

Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the Online Orientation and your online course.

DAV-X802 – 005 28 Feb 202317 Apr 2023 2 $1375

Data Analytics and Visualization Capstone

28 Feb 202317 Apr 2023
2
$1375
Online Fixed-Date
Online
Azucena Faus

Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the Online Orientation and your online course.

DAV-X802 – 006 27 Jun 202314 Aug 2023 2 $1375

Data Analytics and Visualization Capstone

27 Jun 202314 Aug 2023
2
$1375
Online Fixed-Date
Online
Azucena Faus

Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the Online Orientation and your online course.

What You Will Learn

  • Complete an A-Z analysis project that follows the entire data analytics lifecycle
  • Understand how to properly create a data analytics presentation
  • Isolate business need questions and translate them to analytics objectives
  • Choose and apply appropriate analysis tools and techniques for analytics objectives
  • Log and evaluate methodology used to complete analysis
  • Collect and professionally present results of analyses using Assertion-Evidence presentation style
  • Create interactive dashboards that can be used to interpret and verify analysis conclusions

Instructors

Professional development courses offered by the University of San Diego’s Division of Professional & Continuing Education are taught by faculty that possess a depth and breadth of academic and real-world professional experience.

Why USD?

PCE nurtures key partnerships on the local, national and international level to better serve working professionals who seek to enhance or build their careers, as well as with their employers to help achieve their highest value and potential. Contact us today to learn more.

Informative Stats and Facts

600+

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50+

Number of in-depth, innovative, and relevant topics

25+

Career advancing certificates

Learning Method Information

Courses offer a convenient, yet rigorous style of learning that allows you to structure your education to suit your schedule while keeping you on pace toward achieving your educational.

Online Fixed-Date

Online Fixed-Date: Online fixed-date courses offer a convenient, yet rigorous style of learning that enables you to collaborate with your instructor and other students in a shared, online learning environment. These courses have fixed start and finish dates, but as an online student you will have 24/7 online access to your classroom assignments, syllabus and course resources. Our online fixed-date courses allow you to work on your assignments anytime, although you are required to complete the assignments by specific dates.

How is the learning structured? In an online fixed-date course, you and your classmates will proceed through the curriculum together, collaborating in a shared learning experience. Each online fixed-date course is asynchronous, meaning that you can work on your assignments anytime, although required to complete the assignments by specific dates. The course is designed with seven learning modules where all of the content is grouped into weekly assignments. Each module covers one or more topics. Within each of the learning modules, you can expect the following components:

  • Module introduction that outlines what you can expect to learn in the module.
  • Required readings (textbook, articles, journals, etc.) and presentations (audio and/or video).
  • Assignments with due dates (which may include: written assignments, journal entries, research, blogs, etc.) based on the readings and presentations.
  • Discussion forum where you answer prompts from the instructor and interact with your classmates.
  • Module conclusion to review the topics and what you should have learned.
  • Typically, there is a final project, paper, or exam due in the last module that culminates all of the topics covered in each of the learning modules. You’ll find that the design of the learning modules has a rhythm to help you manage your time in the course.