What knowledge and skills can you gain from statistics courses on Coursera?

Statistics courses on Coursera can help equip you with analytical skills and mathematical knowledge to effectively interpret data: Understanding of statistical theory, including probability, distributions, and hypothesis testing. Skills in applying statistical methods to real-world problems across various industries. Proficiency in using statistical software tools like R, Python, or SPSS to analyze and visualize data. Techniques for designing experiments and surveys to collect data efficiently. Knowledge of regression analysis, ANOVA, and other statistical models. Insights into big data analytics, including machine learning algorithms driven by statistical principles. Application of statistics in specialized fields such as biostatistics, econometrics, or psychological statistics.

Do I need prior knowledge in statistics to enroll in these courses?

Statistics courses on Coursera are designed to accommodate learners at different stages of their educational or professional journey: Introductory courses are suitable for those new to statistics, offering foundational knowledge and basic application skills. Intermediate courses build upon basic statistics knowledge, introducing more complex analyses and applications. Advanced courses cater to individuals with a solid background in statistics, focusing on specialized topics or advanced analytical techniques.

What types of certifications and credentials can you pursue through statistics courses on Coursera?

Coursera provides various educational pathways to help validate your skills in statistics: Professional certificates that can help you demonstrate your competence in statistical analysis. Specialized course certificates that focus on particular aspects of statistics, such as data science or predictive analytics. Degree programs and professional qualifications that prepare you for roles involving extensive use of statistics. These credentials are intended to enhance your professional qualifications and assist you in advancing your career in fields reliant on statistical analysis.

What career opportunities can knowledge in statistics lead to?

Studying statistics on Coursera can prepare you for a variety of roles in data-intensive sectors: Data Analyst : Utilize statistical tools and methods to interpret data and inform business decisions. Statistical Consultant: Provide expertise to organizations on statistical methods, data collection, and analysis. Biostatistician : Apply statistics to biological sciences and public health. Econometrician: Use statistical techniques to study economic data and trends. Quality Control Analyst: Implement statistical methods to assess product quality and maintain standards.

Top Statistics Courses - Learn Statistics Online

Explore the Statistics Course Catalog

Status: Free
University of Cape Town
Understanding Clinical Research: Behind the Statistics
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Clinical Research, Medical Science and Research, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Probability
4.8
Rating, 4.8 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Statistics For Data Science
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference, Exploratory Data Analysis
3.9
Rating, 3.9 out of 5 stars
31 reviews
Beginner · Guided Project · Less Than 2 Hours
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
4.6
Rating, 4.6 out of 5 stars
263 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Statistics and Data Analysis with Excel, Part 1
Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Descriptive Analytics, Microsoft Excel, Excel Formulas, Data Analysis, Spreadsheet Software, Bayesian Statistics
4.7
Rating, 4.7 out of 5 stars
27 reviews
Beginner · Course · 1 - 3 Months
Status: [object Object]
Google
Google Data Analytics
Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), Analytics, Stakeholder Management
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
164K reviews
Beginner · Professional Certificate · 3 - 6 Months
Duke University
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Statistics and Applied Data Analysis
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
30 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Eindhoven University of Technology
Improving your statistical inferences
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Sample Size Determination, Data Analysis, Research, Research Design, General Science and Research, Research Methodologies, Data Sharing, Probability
4.9
Rating, 4.9 out of 5 stars
791 reviews
Intermediate · Course · 1 - 3 Months
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Data Analysis, Exploratory Data Analysis, Quantitative Research, Probability & Statistics, R Programming, Statistics, Descriptive Statistics, Probability Distribution, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Understanding Data: Navigating Statistics, Science, and AI
Skills you'll gain: Histogram, Generative AI, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Science and Research, Data-Driven Decision-Making, Research Design, Analytical Skills, Research, Exploratory Data Analysis, Artificial Intelligence, OpenAI
4.5
Rating, 4.5 out of 5 stars
23 reviews
Beginner · Specialization · 1 - 3 Months
Johns Hopkins University
Statistical Inference
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics)
4.2
Rating, 4.2 out of 5 stars
4.4K reviews
Mixed · Course · 1 - 4 Weeks
SAS
Statistics with SAS
Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis
4.7
Rating, 4.7 out of 5 stars
296 reviews
Intermediate · Course · 1 - 3 Months