Statistics: The Goldmine

You just got admitted to study STATISTICS or you are currently studying STATISTICS and you are wondering how to go about it ?, You are tired of hearing statistics is same as mathematics?, then follow me here.

  You really what to understand why statisticians are said to be able work anywhere?

You must have heard of this popular saying that “a statisticians can work anywhere” and if you haven’t heard that, this is me telling you, the saying is true and more paths or fields where statisticians are needed are being discovered daily.

Things to know as a statistician

First of all statistics isn’t mathematics but it’s a mathematical science course, secondly the theories are just as important as the calculations, thirdly a statistician mustn’t dislike calculations and it’s imperative to be good with calculators. Other major skills a statistician should possess is analysis, every statistician should be able to think critically and analyze a situation to bring a suitable solution, so every statistician is a problem solver, a critical thinker ,an analyst and a researcher because statisticians deal majorly with data.

THE FOLLOWING ARE THE DIFFERENT CAREER OPPORTUNITIES AND MAJOR THAT CUT ACROSS EVERY FIELD AND THE ONES THAT CAN WORKANY WHERE

• DATA SCIENCE • ENVIRONMENTAL STATISTICS • INDUSTRIAL STATISTICS • DATA ANALYSIS • SAMPLESURVEY RESEARCHER • RESEARCHER(MARKET,AI, and every other field) • BUSINESS ANALYSIS • MEDICAL STATISTICS • DATABASE ADMINISTRATOR • DEMOGRAPHY

STUDENTS WHO LOOK FORWARD TO MAJORING IN ANY OF THE ABOVE LISTED MAJORS SHOULD TAKE THE FOLLOWING COURSE SERIOUSLY IN COLLEGE/UNIVERSITIES

    DATA SCIENCE   

Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization's data. These insights can be used to guide decision making and strategic planning.

 Probability  Regression(all the regression multi-linear, logistic and polynomial)  Experimental statistics and analysis  Statistical inference  Design and experimental analysis

   DATABASE ADMINISTRATION

Data administration is the process by which data is monitored, maintained and managed by a data administrator and/or an organization. Data administration allows an organization to control its data assets, as well as their processing and interactions with different applications and business processes. Data administration ensures that the entire life cycle of data use and processing is on par with the enterprise’s objective.

 Sample survey  Probability  Regression analysis  Statistical computing

    MEDICAL STATISTICS

Medical statistics is a sub-discipline of statistics. It is the science of summarizing, collecting, presenting and interpreting data in medical practice, and using them to estimate the magnitude of associations and test hypotheses. It has a central role in medical investigations. It not only provides a way of organizing information on a wider and more formal basis than relying on the exchange of anecdotes and personal experience, but also takes into account the intrinsic variation inherent in most biological processes.

 Statistical computing  Statistical inference  Demography  Sample survey

    DATA ANALYST

Although many groups, organizations, and experts have different ways to approach data analysis, most of them can be distilled into a one-size-fits-all definition. Data analysis is the process of cleaning, changing, and processing raw data, and extracting actionable, relevant information that helps businesses make informed decisions. The procedure helps reduce the risks inherent in decision-making by providing useful insights and statistics, often presented in charts, images, tables, and graphs. A data analyst job is very similar to that of a data scientist job, just that they used different tools, so a data analyst also need to treat every course with importance but these few are more relevant.

 Probability  Regression(all the regression multi-linear, logistic and polynomial)  Experimental statistics and analysis  Statistical inference  Statistical computing  Design and Experimental analysis

    ENVIRONMENTAL STATISTICS

Environmental statistics is the application of various statistical methods, including procedures and techniques in the field of environmental science and environmental engineering, such as weather, air, water quality, climate, soil, fisheries and other environmental activities.

 Sample survey  Statistical computing  Statistical inference  Probability  Design and Experimental analysis

    INDUSTRIAL STATISTICS

Industrial Statistics is concerned with maintaining and improving the quality of goods and services. It involves a broad range of statistical tools but maintaining and improving quality involves an overall approach to the management of industrial processes that transcends the use of these specific tools.

 Sample survey  Statistical computing  Statistical inference  Probability  Design and Experimental analysis

   SAMPLESURVEY RESEARCHER 

Survey Research is a quantitative research method used for collecting data from a set of panel or respondent. A survey that measures the entire target population is called a census, a sample refers to a group or section of a population from which information is to be obtained, survey samples can be broadly samples and super samples.

 SAMPLE SURVEY  PROBABILITY  Statistical computing  Statistical inference

    DEMOGRAPHY 

Demography is the study of populations, especially with respect to birth, death, and migration. Demographers are especially interested in examining patterns by age, gender, race, nationality, and other, well, demographics.

 Sample survey  Statistical computing  Statistical inference  Probability  Design and Experimental analysis

 BUSINESS ANALYSIS

Business Analysis is the practice of enabling change in an organizational context, by defining needs and recommending solutions that deliver value to stakeholders, these are done through different statistical practices.

 Sample survey  Statistical computing  Statistical inference  Probability  Regression Analysis

  RESEARCHER                                 

A researcher would have no option but to take every course seriously because he/she wouldn’t be using a specific method for his work as it isn’t specific except the person majors in a particular field to research in.

To know more about each majors and how statistics is being applied and also get links and textbooks on what they are about and learn more, follow for the next article.