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.
Benefits of our Data Analytics and Visualization Capstone
In the final course of our Data Analytics and Visualization certificate program, students will combine their acquired skills in Excel, Tableau, Python, and R to develop an A-Z Data Analytics project and presentation. This final capstone will cement their knowledge of the data analysis project lifecycle by summing the techniques taught in the previous three analysis foundations courses. By the end of the course, students will be able to define business needs, choose appropriate analysis tools, and create a shareholder-appropriate presentation that frames outcomes in a clear and transformative way. Students will walk away from this capstone with an enhanced understanding of the power of data and the confidence to tackle any analytics project with their newly minted analytical toolset.
- 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
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
- The Craft of Scientific Presentations: Critical Steps to Succeed and Critical Errors to Avoid, 2nd edition by Michael Alley available at Amazon.com or your local bookstore
- Microsoft Word or equivalent (for proposal)
- Microsoft Excel, R, and Python (for analysis)
- Tableau Public (for dashboard)
- Microsoft PowerPoint or equivalent (for final presentation)
Job Market and Career Outlook
Data analysts are in demand by top employers across the country and beyond in nearly all sectors today — health care, finance, cybersecurity, aerospace, media, transportation, higher education, government and military, energy, retail and eCommerce, professional sports, and more.
Upon completion of the capstone data analytics and visualization course, students will have gained competencies in Excel, Tableau, Python, and R, the most widely used data analysis tools today. With demonstrable proficiencies across a variety of data tools, landing a new job or earning a promotion within their current organization will be attainable.
Employment websites Indeed.com and Salary.com report the average salary for data analysts to be $75,000+. Here is a quick sampling of data analytics job openings during a recent LinkedIn search.
- Apple – Data Analytics Manager ($114K–$119K)
- Siemens – Business Analyst, Data Analytics ($56K – $113K)
- SmartSense – Data Analyst ($68K – $91K)
- State of Rhode Island – Data Analyst ($60K – $81K)
- Federal Reserve Bank of Boston – Data Analyst ($67K – $90K)
- Nike – Data Analytics Manager ($105K–$135K)
- Uber – Data Analyst, Global Analytics & Insights; San Francisco ($81K–$123K)
For those who are seeking to launch a career in this fascinating and fast-growing field, earning your Data Analytics and Visualization Certificate is a smart investment in your future.
Q: Do I need a background in data analytics to succeed in this certificate program?
A: No. College-educated professionals who have some experience working with data and technology will be well-positioned to gain a strong foundation in data analytics from this 100% online professional development program.
Q: Are the Data Analytics Certificate courses transferable to a master’s degree program?
A: Yes. Students who complete the Data Analytics and Visualization Certificate with a grade of B or better may be eligible to waive 6 units of prerequisites in the University of San Diego’s online Master of Science in Applied Data Science program.
Q: What are some of the most important learner outcomes from this data analytics program?
A: There are many. In addition to gaining a strong foundation in data analytics and visualization, students will gain experience with important, sought-after data analytics tools like Excel, Tableau, R, and Python.
Q: How will this program help me advance my career?
A: In addition to gaining certification in a well-compensated, in-demand field, students who complete the Data Analytics and Visualization Certificate program will also do hands-on exercises and Capstone project work that can be presented to potential employers as part of your data analytics and visualization portfolio. According to data analytics resource KDnuggets, the top 8 reasons to earn your data analytics certification are:
High demand for analytics professionals
Huge deficit of skilled professionals to fill the jobs
Data analytics is a top priority in many organizations
Flexibility to work in most any sector
Practical knowledge you can put to use immediately
No prerequisites for enrolling the certification program
Q: What is a certificate program?
A: USD certificates are rigorous programs of study that demonstrate a progression of learning and the mastery of a specific body of knowledge. Certificates at USD are a minimum of 8 semester units of coursework, and have gone through extensive community reviews, curricular oversight, and university approvals before they are offered for continuing education or professional development.
USD is accredited by the Western Association of Schools and Colleges (WASC).
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.
Applies Towards the Following Certificate(s), Professional Programs and Series
- Data Analytics and Visualization Certificate : Required Courses - Start with DAV-X800 and continue in order