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

IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Relational Databases, Statistical Hypothesis Testing, Web Scraping, Databases, Stored Procedure, Automation, Data Science, GitHub, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
70K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
University of Cape Town
Doing Clinical Research: Biostatistics with the Wolfram Language
Skills you'll gain: Descriptive Statistics, Plot (Graphics), Statistical Analysis, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Data Analysis, Quantitative Research, Data Visualization Software, Probability & Statistics, Deep Learning, Machine Learning
4.7
Rating, 4.7 out of 5 stars
49 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Fitting Statistical Models to Data with Python
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Data Analysis, Data Manipulation, Interactive Data Visualization
4.4
Rating, 4.4 out of 5 stars
697 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Managing Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Presentation, Data Management, Management Reporting, Team Management, Analytical Skills, Team Leadership, Statistical Inference, Statistical Modeling, Research Reports, Statistical Analysis, Communication
4.6
Rating, 4.6 out of 5 stars
3.3K reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Simple Regression Analysis in Public Health
Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Statistical Analysis, Epidemiology, Quantitative Research, Data Analysis, Probability & Statistics, Statistical Inference
4.7
Rating, 4.7 out of 5 stars
380 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks
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 Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks
IIMA - IIM Ahmedabad
Pre-MBA Statistics
Skills you'll gain: Sampling (Statistics), Probability, Statistical Hypothesis Testing, Statistics, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Statistical Analysis, Descriptive Statistics, Sample Size Determination, Data Analysis, Data-Driven Decision-Making
4.5
Rating, 4.5 out of 5 stars
267 reviews
Beginner · Course · 1 - 3 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, Statistical Methods, Probability & Statistics, Big Data, Plot (Graphics), Data Analysis, Data Analysis Software, Analysis, Feature Engineering, Performance Analysis, Performance Measurement, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
216 reviews
Intermediate · Professional Certificate · 3 - 6 Months
Codio
Data Analysis in R with RStudio & Tidyverse
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Data Import/Export, Statistical Analysis, R Programming, Exploratory Data Analysis, Data Wrangling, Data Manipulation
4.3
Rating, 4.3 out of 5 stars
18 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Applied Data Science with Python
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months