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

IBM
Applied Software Engineering Fundamentals
Skills you'll gain: Software Development Life Cycle, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Development Environment, Version Control, File Management, Jupyter, Software Engineering, Software Architecture, Application Deployment, Automation, Flask (Web Framework), Web Scraping, Python Programming, Open Source Technology, Application Development
4.6
Rating, 4.6 out of 5 stars
46K reviews
Beginner · Specialization · 3 - 6 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
University of Illinois Urbana-Champaign
Digital Marketing
Skills you'll gain: Data Storytelling, Data Visualization, Email Marketing, Data Presentation, Google Analytics, Digital Marketing, Analytics, Marketing Communications, Business Analytics, Content Marketing, Marketing Strategies, Marketing Analytics, Social Media Marketing, Marketing Management, Marketing, Web Analytics, Strategic Marketing, Digital Communications, Integrated Marketing Communications, Media Strategy
4.7
Rating, 4.7 out of 5 stars
23K reviews
Beginner · Specialization · 3 - 6 Months
IBM
BI Foundations with SQL, ETL and Data Warehousing
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Data Visualization, Dashboard, File Management, Star Schema, Unix Shell, IBM DB2, Business Intelligence, Databases, Stored Procedure, Relational Databases
4.6
Rating, 4.6 out of 5 stars
23K reviews
Beginner · Specialization · 3 - 6 Months
IBM
IBM Data Management
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Data Governance, Data Security, Data Migration, Database Design, Data Visualization, Interactive Data Visualization, Descriptive Statistics, Data Mining, Cloud Storage, Data Visualization Software, Extract, Transform, Load, IBM DB2, Data Management, MySQL, Excel Formulas
4.7
Rating, 4.7 out of 5 stars
16K reviews
Beginner · Professional Certificate · 3 - 6 Months
Coursera Project Network
RStudio for Six Sigma - Basic Descriptive Statistics
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Box Plots, R Programming, Probability Distribution, Data Synthesis, Probability & Statistics, Exploratory Data Analysis
4.7
Rating, 4.7 out of 5 stars
64 reviews
Beginner · Guided Project · Less Than 2 Hours
DeepLearning.AI
Applied Statistics for Data Analytics
Skills you'll gain: Statistical Hypothesis Testing, Statistics, Probability Distribution, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Statistical Inference, Descriptive Statistics, Probability, Correlation Analysis, Exploratory Data Analysis, Generative AI
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Statistical Inference for Estimation in Data Science
Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution
4.1
Rating, 4.1 out of 5 stars
86 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Statistical Inference and Hypothesis Testing in Data Science Applications
Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Sample Size Determination, Sampling (Statistics), Probability Distribution
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
48 reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Survey Data Collection and Analytics
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Business Research, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Data Analysis, Statistical Modeling, Qualitative Research, Statistical Methods, Statistical Programming, Data Cleansing
4.4
Rating, 4.4 out of 5 stars
1.4K reviews
Beginner · Specialization · 3 - 6 Months
University of Colorado Boulder
Statistics and Data Analysis with R
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Probability, Data Manipulation, Statistical Inference
Intermediate · Course · 1 - 3 Months
University of London
Statistics and Clustering in Python
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Machine Learning Algorithms, Data Manipulation, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming
4.1
Rating, 4.1 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks