Boost Your Python and R Data Analytics Knowledge and Programming Skills
This introductory programming course in Python and R is designed to connect a foundational knowledge of coding to its practical application in a data analytics project framework. Each module builds Python and R programming knowledge using selected textbook readings reinforced with explanatory videos and demonstrations. Through guided instruction, students will get hands-on practice using Python and R for data manipulation, data visualization, and statistical modeling as they input the appropriate code syntax to solve data problem scenarios executed in Jupyter Notebooks. Students will progressively build programming competencies, demonstrate assimilation through knowledge checks, and extend their foundational understanding of Python and R into a practice of real-world data analytics and problem-solving.
This course is the third required course in our Data Analytics and Visualization Certificate program. As such, students looking to enroll in the Data Analytics with Python and R class must have successfully completed the two prerequisite courses: Essentials of Analytics in Excel and Data Visualization & Storytelling with Tableau.
- Describe machine learning and its applications in data analytics
- Analyze business problems using data visualization, pattern discovery, and data exploration using Python and R
- Utilize data analytics to address business decisions with efficient and applicable tools
- Apply statistical modeling concepts such as regression and classification on various real-world data sets
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: This course provides continuing education for:
- Working professionals who have completed at a minimum a bachelor's degree, which may include but not be limited to financial/data and/or business analysts, accountants, client relationship managers, and account managers from a wide variety of industries
- Current undergraduate students looking to boost their resume with fundamental data analytics skills and knowledge
- Marketing professionals, financial and/or business analysts
- Anyone interested in data analytics with R and Python is also welcome
- A Hands-On Introduction to Data Science, 1st edition by Chirag Shah available at Amazon.com or your local bookstore
- Python can be downloaded from the open-source Python website at https://www.python.org/downloads/, however the full version can consume 3GB+ of disk space. For DAV-801B, students only need to use Miniconda, a minimal installer for Python, requiring only 400MB of disk space. Miniconda can be downloaded at https://docs.conda.io/en/latest/miniconda.html.
- R for Windows and Mac can be downloaded at https://cran.rstudio.com/.
RStudio for Windows or Mac can be downloaded at https://www.rstudio.com/products/rstudio/download/#download.
- Data Analytics and Visualization Certificate: Required Courses - Start with DAV-X800 and continue in order
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. And because Python is one of the most common coding styles in the data analytics field, nearly all data analytics jobs will require candidates to have a solid understanding of this coding language.
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)
VCA Animal Hospitals – Data Analyst
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.
The online Data Analytics with Python and R course is designed and taught by expert instructors and faculty with real-world experience in data analytics, visualization, and data science.
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.
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.
This is the third of four courses in the Data Analytics and Visualization Certificate.
Required successful completion of:
- DAV-X800 Essentials of Analytics in Excel
- DAV-X801A Data Visualization & Storytelling in Tableau
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.
USD is accredited by the Western Association of Schools and College (WASC).
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