The age of Big Data is here—and there’s nothing but big potential ahead.
“Big Data” means we’re now able to easily and quickly access a great deal of information from multiple databases, which can help us in our professional research and decision-making. This flow of info, for instance, can provide thorough details about customers and their buying habits, which can make it easier to make qualified projections about future costs and revenue expectations. The healthcare field can have access to info about patients, treatments, studies, medication, and other research. Sports teams can pull up all sorts of statistics about team performance and fan demographics, including what areas of the stadium have the best and worst food and drink sales.
If the right parameters are put into the right database, researchers can drill deep to find out just about anything. This power creates a few challenges, namely finding skilled individuals able to dive deep into databases to retrieve useful information and make sense of it. It takes specialized training in various methodologies, organizational software, various statistical analysis sources, and lots of practice.
Within the statistics field, several career and educational paths have evolved that focus especially on working well with Big Data. Some are in the area of data science, which generally deals with making sense of available information; and others focus on statistical analysis, which can involve creating the frameworks and parameters for effective qualitative and quantitative research, a field generally referred to as applied statistics. People with training in the latter area are in especially high demand.
The ability to make sense of Big Data is already in high demand, but this trend is projected to keep on growing. The U.S. Bureau of Labor Statistics expects openings in mathematics and statistics to grow an astonishing 33 percent nationwide between 2020 and 2030, adding 15,000 jobs. Wages are also relatively high: median pay is $93,290 annually.
Students considering useful career paths in the Big Data field or even people in the workplace now wanting to further hone their research skills can consider pursuing the educational field of applied statistics. Continue reading for information about the benefits of this path and how to get started.
The Membership Magazine of the American Statistical Association (2020) states that the growth for statistics and biostatistics degrees continues to grow with robust growth in the number of statistics and biostatistics degrees awarded annually at the bachelor’s and master’s levels. This means that there are more opportunities to learn the basics or advanced skills at online or traditional college programs, rather than a few specialty schools that may require relocation.
Statistical knowledge will help you use the correct methods for collecting the data, employing the correct analyses, and effectively presenting the results. A study on statistics will help you in making discoveries in science, making decisions based on data, and making predictions. It allows you to have an in-depth understanding of a subject.
Employers want and need these skills. LinkedIn Learning said that a survey of LinkedIn members concluded that statistical analysis and data mining are the second most in-demand skills businesses were seeking people for in 2018, and many companies are having challenges filling these positions. Even now in 2021, the demand continues to grow.
According to Glassdoor’s annual ranking, Data Scientist was the second-best job in America for 2021. The U.S. News & World Report (2021) ranked the job of a Statistician at second, among the best business jobs in the USA. It also ranked this position at sixth, among the best 100 jobs of 2021.
Along with working directly for an employer to gather and arrange specific data, people with statistical analysis skills also may consider the entrepreneurial route by sharing their abilities with a variety of companies. An experienced stats consultant in such a high-demand, low-supply position can be lucrative.
There are plenty of options for people interested in learning more about applied statistics, including bachelor’s and master’s degree programs or professional certificates. These can be taken on campus, off-campus through distance learning, or in a hybrid of both types.
In the rapidly developing applied statistics field, candidates who have received a diploma or certificate from an established, accredited academic program, especially coursework that demonstrates knowledge and competence of current software or the latest industry trends, may be more competitive in today’s job market.
Graduate programs are recommended for those who already have aptitude or interest in working with data, but are in need of developing better research methods. Some notable programs include:
The school’s Department of Mathematics and Statistics offers a variety of programs for students with an interest in this topic, including a 120-credit bachelor’s degree in statistics with different concentrations including applied statistics, data science, and mathematical statistics.
The curriculum includes courses such as introduction to computer science, linear algebra, probability, basic statistics, biostatistics, introduction to mathematical statistics, statistical programming in R, data science, design of experiments, and statistical machine learning, among others.
Students can also pursue a master’s degree in statistics, a combined bachelor’s degree and master’s degree in statistics, or a combined bachelor’s degree in statistics and a master’s degree in biostatistics.
The college also offers a 12-credit graduate certificate program that provides an overview of collection, analysis, organization, and presentation of information. It includes six core credits plus six electives in various statistical and analysis courses.
The 126-credit bachelor of science in mathematics program with a statistics concentration offers a mix of online and on-campus courses that include a blend of math, economics, technical physics, communication, and education topics.
The math portion includes foundational concepts such as algebra, pre-calculus & calculus, but then delves into more advanced areas such as discrete structures, applied statistics, differential equations, probability and statistics, and mathematics and computing electives. The statistics concentration includes courses such as applied statistics, linear statistics modeling and regression, and experimental design.
To be considered for admission, students must hold a high school diploma or have passed either the GED or HiSET. Students pursuing this BS in mathematics develop transferable and valuable skills in quantitative analysis, problem-solving, and critical thinking. These skills are necessary for success in a variety of positions such as computer programmer, statistician, financial analyst, and more.
This fully online master of science in applied statistics program through the school’s College of Agriculture and Natural Resources provides a firm foundation in statistical theory, probability, and mathematical statistics, plus strategies on effective research model building. Students use actual data to analyze and aid in decision making, plus how to best utilize processes like regression, experiment design, and multivariate methods. They’ll also work with various statistical analysis systems and receive an R-JMP 13 license.
The 30-credit program also works closely with the school’s Department of Applied Economics and Statistics, which provides case studies and current information. Courses in this program are 100 percent online and are led by experienced instructors who engage students in a wide variety of learning activities such as participating in online discussions, taking online quizzes and tests, and completing a range of assignments.
The curriculum explores topics such as regression analysis, applied multivariate methods, design & analysis of experiments, introduction to stat analysis, survival analysis, biostatistics, and applied database management.
To be considered for admission, candidates must have a four-year undergraduate degree or its equivalent, from an accredited institution, a minimum GPA of 2.5, competence in linear algebra, advanced calculus, and basic statistics, computer programming experience, a completed graduate application form, unofficial transcripts, three letters of recommendation, a current resume, and a $75 nonrefundable application fee. GRE scores are not required for admission.
Graduates can take up roles such as biostatisticians, financial planners, compliance managers, business intelligence managers, data scientists, data analysts, and marketing analysts, among many other such roles.
CSU has maintained a Department of Statistics since 1970 for students interested in research, analysis, statistical theory, probability, and methodology, generations before people started talking about online databases and Big Data. The department continues to provide foundations and research methods but has also incorporated digital methodologies and tools.
The 30-credit master’s program in applied statistics teaches effective ways to access and secure raw data and translate it into actionable insights. Students receive skills in creating regression models and learning quantitative reasoning. Students can choose to specialize in either data science or statistical science.
The curriculum includes courses such as business visual application development, statistical consulting skills, mathematical statistics with applications, quantitative reasoning, statistical learning & data mining, data visualization methods, and nonparametric methods.
Applicants to the program require a four-year bachelor’s degree from a regionally-accredited university, three semesters of calculus, at least one undergraduate-level statistics course, a course in linear algebra, and math entrance exam scores or GRE scores.
Graduates of the program can take up positions such as research scientists, quality assurance analysts, statistical programmers, data analysts, and statistical researchers. The school also offers related online graduate certificates for 10-11 credits in applications of regression models and data analysis.
Penn State’s Eberly College of Science and Penn State World Campus have combined efforts to offer a 30-credit master of applied statistics program in an online or on-campus format. Students learn a variety of traditional and newer digital concepts and can advance their careers in almost every field, including science, education, technology, government, business, or health care.
Completing the program also can provide adequate information to test for the SAS Base Programming Certification Exam or seek PStat accreditation from the American Statistical Association. Some of the courses in the curriculum include an introduction to probability theory, introduction to mathematical statistics, regression methods, analysis of variance and design of experiments, applied nonparametric statistics, statistical analysis system programming, design of experiments, and analysis of discrete data.
For admission to the program, applicants must have a baccalaureate degree from a regionally accredited U.S. institution or its equivalent, Official transcripts, A minimum undergraduate grade point average of 3.0, GRE scores (waiver available), three references, and TOEFL or IELTS scores for international students.
Students can also earn a 12-credit graduate certificate in applied statistics.
Being self-taught shows that a person has not only a strong interest in statistics but also the motivation to buckle down and learn at one’s own pace outside of the structure of a traditional classroom.
The following are some programs that provide more self-directed training in statistics for a low cost:
The online education program offers more than a dozen modules in the fields of data analysis and statistics. These are taught by instructors at universities and colleges around the world and divided into four or five lessons that can be taken over several weeks or months. Those interested in data/statistics can hone their skills in everything from better understanding baseball scoring to modern data mining. There are strategies on better modeling and predictive sciences, plus ways to work better with different disciplines, including law.
This online educational portal provides a variety of data science-related courses, including basic statistics, which is a requirement if you want to take inferential statistics or related methodology courses. The eight-week basic statistics program covers different ways to measure data, build mathematical relationships, and focus on probability. There are also more than a dozen other related applied statistics courses such as qualitative and quantitative methods, statistical reasoning for public health, and clinical research.
Self-paced online classes that can be taken over several weeks or months can offer supplemental material or refresh what was learned in college. There are a variety of basic statistics and probability courses taught by instructors from various colleges including Stanford. The content for some courses is free, but students will be charged if they want a certificate demonstrating completion.
As a final note, additional free (or reduced cost) training in statistics can be found through: