What is statistical analysis?

Statistical analysis is the process of collecting and organizing data in order to observe patterns in that data. This discipline examines numerical data for trends, and it has practical applications across multiple industries and business sectors. Statistical analysts can examine large or small amounts of data to determine what the data shows—and what should be done with that information. The business world has relied on statistical analysis for years, but the advent of computer technology has made analyzing large amounts of data increasingly easy. Computers allow statisticians to analyze copious amounts of data and look for more specific patterns and trends than ever before.

Why is statistical analysis important?

Statistical analysis is important because it helps you make sense—and make use—of data. No matter what industry you work in, you see data every day. You may not know how to interpret the data, or there may just be too much data to understand on its own merits. Using statistical analysis can help you interpret key patterns in your data and sort out extraneous information to understand what the data means and what you should do about it. If you have a background in statistical analysis, you can also test or disprove any analysis that you receive from someone else as well.

What are typical careers that use statistical analysis?

A thorough knowledge of statistical analysis can help you find a career in the financial sector, information technology, or other areas of the business world. You can find jobs giving businesses advice on how to invest or how to manage their money more efficiently, or you can consult with companies on how to budget for large projects. Market research jobs rely on statistical analysis skills, while software engineers analyze data to develop and test new and updated applications. Data scientists work with various organizations to help them identify patterns and trends in their field of business.

How can online courses on Coursera help me learn statistical analysis?

From courses that introduce you to the basics of statistical analysis to more specific topics like hypothesis testing, data analysis in the health care industry, or risk management, you can gain a confident base of knowledge from online courses on Coursera. Specific topics you can discover include using logistic regression in R, survival analysis in R, bias and validity in epidemiology, statistics with Python, and data analytics.

What are the benefits of taking an online Statistical Analysis course?

Online Statistical Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Analysis skills. Choose from a wide range of Statistical Analysis courses offered by top universities and industry leaders tailored to various skill levels.

What Statistical Analysis courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Statistical Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Statistical Analysis Courses - Learn Statistical Analysis Online

Rice University
Business Statistics and Analysis
Skills you'll gain: Probability & Statistics, Statistical Analysis, Business Analysis, General Statistics, Data Analysis, Spreadsheet Software, Basic Descriptive Statistics, Microsoft Excel, Statistical Tests, Probability Distribution, Business Intelligence, Data Analysis Software, Regression, Data Management, Critical Thinking, Data Visualization, Plot (Graphics), Statistical Visualization, Problem Solving
Beginner · Specialization · 3 - 6 Months
Duke University
Data Analysis with R
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Probability Distribution, R Programming, Statistical Programming, Basic Descriptive Statistics, Statistical Visualization, Bayesian Statistics, Exploratory Data Analysis, Plot (Graphics), Problem Solving, Critical Thinking, Correlation And Dependence, Regression, Bayesian Network, Computer Programming
Beginner · Specialization · 3 - 6 Months
Imperial College London
Statistical Analysis with R for Public Health
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Statistical Tests, R Programming, Regression, Biostatistics, Statistical Programming, Basic Descriptive Statistics, Exploratory Data Analysis, Critical Thinking, Correlation And Dependence, Probability Distribution, Epidemiology
Beginner · Specialization · 3 - 6 Months