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

Explore the Statistical Analysis Course Catalog

Rice University
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis
4.7
Rating, 4.7 out of 5 stars
2.6K reviews
Mixed · Course · 1 - 4 Weeks
IBM
Data Analysis with R
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning
4.7
Rating, 4.7 out of 5 stars
333 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
R Programming
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
22K reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Modeling Climate Anomalies with Statistical Analysis
Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Pandas (Python Package), Anomaly Detection, Time Series Analysis and Forecasting, Data Visualization Software, Data Integration, Data Collection, Data Manipulation, Application Programming Interface (API)
Build toward a degree
Intermediate · Course · 1 - 4 Weeks
Status: Free
The State University of New York
Practical Time Series Analysis
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Regression Analysis, Descriptive Statistics, Statistical Inference, Software Installation
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Intermediate · Course · 1 - 3 Months
Status: New AI skills
Google
Google Data Analytics
Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Rmarkdown, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), R Programming
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
167K reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
Data Analysis and Visualization Foundations
Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Apache Hive, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Scatter Plots, Apache Spark, Pivot Tables And Charts, Data Import/Export
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months
Status: AI skills
IBM
IBM Data Analyst
Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Data Manipulation, Excel Formulas, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
91K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: AI skills
Microsoft
Microsoft Power BI Data Analyst
Skills you'll gain: Data Storytelling, Dashboard, Excel Formulas, Extract, Transform, Load, Power BI, Data Analysis Expressions (DAX), Microsoft Excel, Microsoft Copilot, Data Modeling, Data-Driven Decision-Making, Star Schema, Data Analysis, Data Presentation, Data Visualization Software, Spreadsheet Software, Data Validation, Interactive Data Visualization, Data Transformation, Data Cleansing, Data Storage
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
7.2K reviews
Beginner · Professional Certificate · 3 - 6 Months
SkillUp EdTech
Advanced Statistical Analysis and Tools
Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Improvement, Lean Methodologies, Kaizen Methodology, Process Capability, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Analysis, Statistical Analysis, Statistical Methods, Risk Management, Business Process, Sample Size Determination, Data Collection, Graphing
Intermediate · Course · 1 - 4 Weeks
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
143K reviews
Beginner · Professional Certificate · 3 - 6 Months
SAS
SAS Statistical Business Analyst
Skills you'll gain: SAS (Software), Predictive Modeling, Predictive Analytics, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Big Data, Plot (Graphics), Data Analysis, Data Literacy, Data Analysis Software, Advanced Analytics, Statistical Machine Learning, Feature Engineering, Performance Analysis
4.6
Rating, 4.6 out of 5 stars
219 reviews
Intermediate · Professional Certificate · 3 - 6 Months