105,100Number of Jobs, 2019
$86,200Median Pay per year, 2020
25%Job Growth, 2019-2029 (FYI - 5% is average)
*U.S. Department of Labor, Bureau of Labor Statistics, Occupational Outlook Handbook – Operations Research Analysts
The Certificate in Data Analytics is developed to meet the demand for skilled data scientists in today’s data driven business environment. The program is designed to be an efficient way for students to enter a career in data sciences possessing basic skill sets. Applicable to a range of audiences, the rich and diverse content will equip students with applied statistical analysis, modeling and computational data sciences knowledge that will allow them to become successful data science professionals. The program will conclude with a capstone course in which the students will apply the knowledge and skills learned throughout the program to solve a real-world problem using statistical analysis and modeling techniques.
Upon completion of the certificate program, graduates will be able to:
1. Articulate how today's organizations are using data to gain strategic business advantage.
2. Understand how businesses are adapting to compete in today's data driven world and the types of tools, technology, processes, and people needed.
3. Identify new career opportunities and how to use knowledge of statistical and data sciences to evolve in current workplace settings, or for career advancement.
4. Understand the complete data analysis project lifecycle: from retrieving data, validating and preparing data for analysis, finding anomalies, performing statistical analyses, building descriptive and predictive models, to presenting and communicating findings.
5. Use a wide range of numerical and visualization tools to analyze data, extract features and insights, and communicate findings.
6. Validate data uncovering anomalies and data issues.
7. Explore and summarize data through numeral and visualization techniques.
8. Apply a wide range of classic and modern statistical techniques to understand data extracting features and insights that can be used to drive business decisions.
9. Quantify the level of statistical evidence and uncertainty in order to reach statistically valid conclusions.
10. Build statistical models to discover the most important variables that impact an outcome, describe relationships between the variables, and predict outcomes.
11. Present and communicate results of a statistical analysis for a broader audience so data-driven business decisions can be implemented.
1. Professionals interested in learning how to leverage data for better decision making.
2. Data analysts who wish to move beyond using basic analysis tools.
3. Decision makers who want to understand how data can better inform their efforts.
4. Computer scientists and statisticians who wish to take a lead role in data science projects.
5. Graduates with degrees in math, statistics, computer engineering and natural sciences who wish to enter the data science field.
6. Professional analysts (e.g., financial analysts, business analysts, systems analysts) who wish to advance their skills in data science.
7. Managers who wish to utilize data science to enhance business performance.
There are no prerequisites for admittance to this program which is intended for participants who have an interest in learning how to analyze and better understand data. It is recommended that students have a bachelor's degree with some college level course work in statistics or mathematics or have some basic programming experience.
Length: 10 months
Next Start: Fall 2021
*Cost is approximate and subject to change.
It is recommended that participants who reside outside of United States and whose first language is not English must possess English language proficiency equivalent to a minimum TOEFL score of 550 (paper), 80 (iBT) or IELTS score of 6.5.
It is the participantís responsibility to demonstrate English language proficiency necessary to fully participate in the class lectures and discussions.
*Have a question? Please contact us.