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

Status: Free Trial
Indian School of Business
Trading Algorithms
Skills you'll gain: Financial Trading, Financial Analysis, Financial Statement Analysis, Financial Market, Technical Analysis, Market Trend, Market Dynamics, Analysis, Decision Making
4.5
Rating, 4.5 out of 5 stars
1.1K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Tools for Data Science
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Version Control, Other Programming Languages, Query Languages
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
Introduction to Artificial Intelligence (AI)
Skills you'll gain: Large Language Modeling, Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Deep Learning, Machine Learning, Artificial Neural Networks, Prompt Engineering, Governance, Automation, Business Transformation, Applied Machine Learning, Computer Vision, Ethical Standards And Conduct, Natural Language Processing
4.7
Rating, 4.7 out of 5 stars
19K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google
Share Data Through the Art of Visualization
Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Interactive Data Visualization, Tableau Software, Presentations, Data Visualization Software, Dashboard, Web Content Accessibility Guidelines
4.6
Rating, 4.6 out of 5 stars
9.6K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Irvine
An Introduction to Programming the Internet of Things (IOT)
Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Systems Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments
4.7
Rating, 4.7 out of 5 stars
20K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Multiple educators
Object Oriented Programming in Java
Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, Interactive Data Visualization, Java, Object Oriented Programming (OOP), Development Testing, User Interface (UI), Debugging, Java Programming, Software Testing, Computer Programming, Software Engineering, Algorithms, Performance Tuning, Encryption, Programming Principles, Data Analysis, Statistical Analysis, Software Design
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
The Finite Element Method for Problems in Physics
Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Linear Algebra, C++ (Programming Language), Calculus, Open Source Technology
4.6
Rating, 4.6 out of 5 stars
551 reviews
Intermediate · Course · 3 - 6 Months
Status: Free Trial
Meta
Introduction to Social Media Marketing
Skills you'll gain: Social Media Marketing, Social Media, Target Audience, Social Media Strategy, Social Media Management, Marketing, Key Performance Indicators (KPIs), Goal Setting, Facebook, Customer Analysis, Marketing Strategies, Marketing Channel, Instagram, Digital Marketing
4.8
Rating, 4.8 out of 5 stars
15K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data
4.6
Rating, 4.6 out of 5 stars
19K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Attract and Engage Customers with Digital Marketing
Skills you'll gain: Search Engine Marketing, Search Engine Optimization, Google Ads, Online Advertising, Target Audience, Digital Marketing, Digital Advertising, Persona Development, Web Analytics and SEO, Keyword Research, Pay Per Click Advertising, Marketing, Customer Engagement, Customer Acquisition Management, Advertising, Marketing Strategies, Lead Generation
4.8
Rating, 4.8 out of 5 stars
7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Amsterdam
Methods and Statistics in Social Sciences
Skills you'll gain: Qualitative Research, Scientific Methods, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Research, Sampling (Statistics), Probability Distribution, Correlation Analysis, Research Design, Research Reports, Science and Research, Interviewing Skills, Data Analysis, Probability, Data Collection, Statistical Inference, Social Sciences, Statistical Methods, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
7.7K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software
4.6
Rating, 4.6 out of 5 stars
18K reviews
Intermediate · Specialization · 3 - 6 Months