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
University of Michigan
Applied Machine Learning in Python
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm
4.6
Rating, 4.6 out of 5 stars
8.6K reviews
Intermediate · Course · 1 - 4 Weeks
Universidad Austral
Excel aplicado a los negocios (Nivel Avanzado)
Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Data Import/Export, Data Validation, Business Analysis, Business Analytics, Process Optimization, Data Analysis Software, Microsoft Access, Business Modeling, Data Integration, Visual Basic (Programming Language), Automation
4.8
Rating, 4.8 out of 5 stars
3K reviews
Intermediate · Course · 1 - 3 Months
Status: New
Packt
The Complete Tableau Bootcamp for Aspiring Data Scientists
Skills you'll gain: Tableau Software, Dashboard, Data Visualization Software, Interactive Data Visualization, Data Storytelling, Graphing, Data Manipulation, Scatter Plots, Data Analysis, Data Modeling, Data Transformation, Software Installation
Beginner · Course · 1 - 3 Months
Status: New
Packt
Data Management with SQL
Skills you'll gain: MySQL, SQL, Database Design, Database Management, Query Languages, Databases, Data Manipulation, Relational Databases, Data Analysis, Performance Tuning, Software Installation
Beginner · Course · 1 - 4 Weeks
Status: New
Coursera Instructor Network
Microsoft Copilot for Power BI: AI-Powered Report Insights
Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Dashboard, Data Modeling, Business Intelligence, Microsoft Excel, Data Visualization Software, Microsoft Copilot, Data Integration, Interactive Data Visualization, Data-Driven Decision-Making, Data Manipulation, Data Transformation, Data Cleansing, ChatGPT
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Introduction to the Biology of Cancer
Skills you'll gain: Oncology, Medical Imaging, Molecular Biology, Clinical Trials, Treatment Planning, Patient Treatment, Pathology, Epidemiology, Biology, Risk Analysis
4.8
Rating, 4.8 out of 5 stars
7.6K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Data Analysis Using Pyspark
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Visualization, Data Analysis, Data Manipulation, Query Languages, Google Cloud Platform
4.5
Rating, 4.5 out of 5 stars
302 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: New
Status: Free Trial
DeepLearning.AI
Data I/O and Preprocessing with Python and SQL
Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Validation, Data Processing, Data Ethics, Data Cleansing, SQL, Data Transformation, JSON, Pandas (Python Package), Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API)
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Introduction to Genomic Technologies
Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology
4.6
Rating, 4.6 out of 5 stars
4.7K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
The University of Sydney
Academic Skills for University Success
Skills you'll gain: Critical Thinking, Creative Problem-Solving, Problem Solving, Editing, Research, Creative Thinking, Public Speaking, Proofreading, Deductive Reasoning, Brainstorming, Information Management, Analytical Skills, Cognitive flexibility, Ethical Standards And Conduct, English Language, Writing, Verbal Communication Skills, Higher Education, Digital Communications, Communication
4.9
Rating, 4.9 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Snowflake
Snowflake Data Engineering
Skills you'll gain: Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Lakes, Data Warehousing, DevOps, Data Integration, SQL, Cloud Applications, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Data Import/Export, Role-Based Access Control (RBAC), Stored Procedure, Command-Line Interface
4.8
Rating, 4.8 out of 5 stars
183 reviews
Beginner · Professional Certificate · 1 - 3 Months
Status: New
Status: Free Trial
Simplilearn
Business Analytics using Excel
Skills you'll gain: Statistical Analysis, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Excel Macros, Business Analytics, Spreadsheet Software, Data Analysis, Analytics, Data Cleansing, Data Processing, Regression Analysis, Data Validation, Productivity Software, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks