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

University of Illinois Urbana-Champaign
Exploring and Producing Data for Business Decision Making
Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Microsoft Excel, Statistical Inference, Data Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Analytical Skills, Probability & Statistics, Statistical Analysis, Data Presentation, Decision Making
4.8
Rating, 4.8 out of 5 stars
1K reviews
Beginner · Course · 1 - 3 Months
IBM
Applied Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Transformation, Data Import/Export, Predictive Modeling, Web Scraping, Interactive Data Visualization, Automation, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
57K reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
COVID19 Data Analysis Using Python
Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Python Programming
4.5
Rating, 4.5 out of 5 stars
2K reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Managerial Economics and Business Analysis
Skills you'll gain: Descriptive Statistics, Supply And Demand, Market Dynamics, Sampling (Statistics), Statistical Inference, Business Analytics, Bank Regulations, Financial Systems, Financial Policy, Banking, Probability Distribution, Statistical Analysis, Statistical Hypothesis Testing, Regression Analysis, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Economics, Financial Market, Business Economics
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
4K reviews
Beginner · Specialization · 3 - 6 Months
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, R Programming, Probability & Statistics, Predictive Modeling, Big Data, Automation, Computer Programming Tools, GitHub, Data Analysis Software, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
111K reviews
Beginner · Specialization · 3 - 6 Months
Rice University
Linear Regression for Business Statistics
Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Estimation, Data Analysis, Forecasting
4.8
Rating, 4.8 out of 5 stars
1.4K reviews
Mixed · Course · 1 - 4 Weeks
University at Buffalo
Data Analysis and Visualization
Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Visualization Software, Data-Driven Decision-Making, Business Analytics, Tableau Software, Data Analysis, Minitab, Data Cleansing, Statistical Analysis, Business Process, Process Improvement, Power BI, Project Planning
4.7
Rating, 4.7 out of 5 stars
151 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
Wesleyan University
Data Analysis and Interpretation
Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Management, Statistical Machine Learning, Statistical Programming, Data Analysis, Random Forest Algorithm, Research Reports, Statistical Methods, Statistical Modeling
4.4
Rating, 4.4 out of 5 stars
1.4K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Mining, Data Modeling, Databases, Data Science, Stored Procedure, Relational Databases, R Programming, Database Design, Query Languages, Database Management, Big Data, Computer Programming Tools, GitHub, Data Visualization Software, Application Deployment, Data-Driven Decision-Making, Cloud Computing, Data Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
97K reviews
Beginner · Specialization · 3 - 6 Months
Microsoft
Preparing Data for Analysis with Microsoft Excel
Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Power BI, Data Analysis, Data Cleansing, Business Metrics, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
4K reviews
Beginner · Course · 1 - 4 Weeks
IBM
Data Analysis and Visualization Foundations
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Big Data, Data Visualization Software, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Mining, Dashboard, Apache Hadoop, Data Collection, Tree Maps, Excel Formulas, Apache Hive, Microsoft Excel, Data Quality, Data Cleansing, Data Import/Export
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
26K reviews
Beginner · Specialization · 3 - 6 Months