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

Macquarie University
Excel Fundamentals for Data Analysis
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation
4.8
Rating, 4.8 out of 5 stars
4K reviews
Intermediate · Course · 1 - 3 Months
Rice University
Introduction to Data Analysis Using Excel
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Manipulation, Data Access, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
10K reviews
Mixed · Course · 1 - 4 Weeks
PwC
Data Analysis and Presentation Skills: the PwC Approach
Skills you'll gain: Analytics, Business Analytics, Data Analysis, Microsoft PowerPoint, Data Presentation, Presentations, Excel Formulas, Data-Driven Decision-Making, Dashboard, Data Storytelling, Business Intelligence, Microsoft Excel, Customer Analysis, Data Visualization, Data Visualization Software, Big Data, Target Market, Data Cleansing, Public Speaking, Spreadsheet Software
4.6
Rating, 4.6 out of 5 stars
11K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Introduction to Systematic Review and Meta-Analysis
Skills you'll gain: Clinical Trials, Clinical Research, Qualitative Research, Data Synthesis, Research Methodologies, Data Collection, Research Design, Analysis, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis, Data Analysis
4.8
Rating, 4.8 out of 5 stars
3.4K reviews
Mixed · Course · 1 - 3 Months
University of California, Davis
SQL for Data Science
Skills you'll gain: Data Governance, SQL, Data Quality, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Database Management Systems, Descriptive Statistics
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks
Vanderbilt University
MATLAB Programming for Engineers and Scientists
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Algorithms, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Data Analysis, Computer Programming, Programming Principles, Data Processing, Application Development, Data Structures, Scripting, Debugging, Mathematical Software, Data Manipulation
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
DeepLearning.AI
AI For Everyone
Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Generative AI, Data Science, Deep Learning, Business Ethics, Artificial Neural Networks, Business Transformation
4.8
Rating, 4.8 out of 5 stars
47K reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Data Analysis with Python Project
Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Data-Driven Decision-Making, Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods, Feature Engineering
5
Rating, 5 out of 5 stars
6 reviews
Intermediate · Course · 1 - 3 Months
Status: AI skills
IBM
IBM Data Engineering
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
57K reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
Python for Data Science, AI & Development
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Processing, Data Structures, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
4.6
Rating, 4.6 out of 5 stars
40K reviews
Beginner · Course · 1 - 3 Months
DeepLearning.AI
Neural Networks and Deep Learning
Skills you'll gain: Deep Learning, Artificial Neural Networks, Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Machine Learning, Python Programming, NumPy, Performance Tuning
4.9
Rating, 4.9 out of 5 stars
123K reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Advanced Business Analytics
Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Predictive Analytics, Exploratory Data Analysis, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Risk Analysis, Databases, Data Visualization Software, Presentations, Data Analysis, Statistical Modeling, Relational Databases, Decision Making, Business Intelligence, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
5.2K reviews
Intermediate · Specialization · 3 - 6 Months