Welcome to the Statistics Jobs Index
As a first-ever initiative, we are proud to publish and host the latest employment index in the field of statistics. Here you can find the latest labor information and future trends for high growth categories of employment in the United States. This statistics jobs report is taken from a sampling of major employment websites, our proprietary data and is compiled by our research team. This compiled research is focused around a particular skill-set, so it’s inherently quite targeted yet easily digestible at a glance. We’ll be adding more information to this report, so stay tuned.
Statistics is basically a field of study of data. On its basic fundamentals, statistics is derived from mathematical principals and is the study of data collection, data analysis; including its interpretation and quantification of data. There are statistical principals from which data can be observed. Descriptive statistics focuses on how data is collected and modelling so as to describe it. Inferential statistics takes into account the probability of events and attempts to make predictable outcomes. One of the main stages of statistical research is data analysis. There is primary and secondary data sets. Primary data is data collected for the primary purpose of the statistical problem. Secondary data is data that has been collected for a secondary purpose (like the name suggests). Exploring further, there is qualitative and quantitative data. Qualitative data is such data that cannot be expressed mathematically but rather with language, for example if sampling favorite movie genres, or categorical sizes of small and large. Quantitative data can be quantified mathematically by numbers, for example when sampling currency, ratios, speed, or distance. Data analysis is where findings can be analyzed, visualized and decisions can be made around them. Statistics even uses its own programming language for advanced analysis and applications called R. The R programming language enables statisticians to deploy executable commands and arguments. Then there is Bayesian statistics which is the enhanced study of probabilities, and is built upon what we already know to be true. This becomes extremely useful for predicting probable outcomes. Almost all things data-related have been derived from common statistical principals and statistical techniques.
The field of statistics holds the key to almost everything we know in data analysis. The future of statistics is actually already here, as its natural progression from which spawned almost everything we now consider to be data science, data analytics and even machine learning. There are infinite applications to business, government and even day to day life where the field of statistics can add value. The industry is mature and yet even still it’s growing, which is an excellent combination for newcomers in the field, and aspiring mid-level professionals. Career opportunity is abundant, and pursuing continued education is quite attainable since the vast majority of universities offer statistics or statistics-related degree programs for masters and doctorates. Now let’s take a look at career considerations for statistics jobs and how that impacts employment opportunities.
Careers in Statistics
Opportunities in the field of statistics are plentiful, and for job seekers that have experience in data science and advanced analytics (for example) the demand for talent is extremely high. Almost every competitive organization worldwide is hiring talented workers with this background. More information about data science jobs can be found here. There are numerous career paths for professional statisticians that includes, but is not limited to; the academia world such as teaching and research, commercial such as the technology and healthcare sectors. The insurance industry continues its demand for the professionals in the actuarial sciences; which is the cousin to statistics. Additionally, the field of statistics abounds with independent projects and research studies, and as data analytics continues its hyper-growth trajectory there will be almost infinite ways to apply a statistical skill-set and education. Many social networks maintain statistical groups for networking. And to stay informed on latest happenings in the field and to search statistics jobs, icrunchdata offers many resources to the aspiring statistics professional and student. Check out the top 5 titles for statistics jobs.
Top 5 Job Titles
2. Statistical Modeler
3. Principal Statistician
4. Mathematical Statistician
5. Statistical Analyst
To bring our audience and the general community additional value, icrunchdata has started to release quarterly reports, trends and relevant analysis related to jobs in the field including the data scientist salary report and the data science jobs index quarterly report.
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