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

Macquarie University
Excel Regression Models for Business Forecasting
Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Statistical Modeling, Trend Analysis, Business Planning, Statistical Analysis, Data Visualization Software
4.9
Rating, 4.9 out of 5 stars
105 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
École Polytechnique Fédérale de Lausanne
African cities : An Introduction to Urban Planning
Skills you'll gain: Land Development, Governance, Landscape Architecture, Community Development, Civil Engineering, Geographic Information Systems, Operational Analysis, Policty Analysis, Research, and Development, Economic Development, Project Finance, Spatial Analysis, Transportation Operations, Environmental Policy, Finance, Environment and Resource Management
4.7
Rating, 4.7 out of 5 stars
19 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
University of Lausanne
La science forensique au tribunal: témoin digne de foi ?
Skills you'll gain: Statistics, Criminal Investigation and Forensics, Report Writing, Research, Technical Communication, Scientific Methods, Probability, Data Validation
4.8
Rating, 4.8 out of 5 stars
66 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
The Total Data Quality Framework
Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Exploratory Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)
4.6
Rating, 4.6 out of 5 stars
43 reviews
Beginner · Course · 1 - 4 Weeks
LearnQuest
Introduction to Data Science and scikit-learn in Python
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Programming Principles, Data Structures
3.8
Rating, 3.8 out of 5 stars
45 reviews
Beginner · Course · 1 - 4 Weeks
Arizona State University
Response Surfaces, Mixtures, and Model Building
Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Mathematical Modeling
4.7
Rating, 4.7 out of 5 stars
66 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Data Science for Health Research
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Statistical Visualization, Data Visualization Software, Regression Analysis, R Programming, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Predictive Modeling, Correlation Analysis, Histogram, Classification And Regression Tree (CART)
5
Rating, 5 out of 5 stars
9 reviews
Intermediate · Specialization · 1 - 3 Months
Fractal Analytics
Python for Data Science
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Data Wrangling, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Data Transformation, Data Cleansing, Python Programming, Matplotlib
4.1
Rating, 4.1 out of 5 stars
41 reviews
Beginner · Course · 1 - 3 Months
Universidad de los Andes
Integración y preparación de datos
Skills you'll gain: Data Integration, Data Quality, Exploratory Data Analysis, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Compilation, Data Visualization, Data Analysis, Data Science, Predictive Modeling, Data Validation, Python Programming
4.9
Rating, 4.9 out of 5 stars
91 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Leeds
Programming for Data Science
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Data Structures, Data Manipulation, Debugging
4.2
Rating, 4.2 out of 5 stars
21 reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention
Skills you'll gain: Infectious Diseases, Epidemiology, Preventative Care, Health Care, Program Evaluation, Biostatistics, Data Analysis, Public Policies, Policy Analysis, Trend Analysis, Medical Science and Research, Emergency Response, Community Outreach, Clinical Research
4.7
Rating, 4.7 out of 5 stars
179 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Create an A/B web page marketing test with Google Optimize
Skills you'll gain: A/B Testing, Google Analytics, Web Analytics, User Experience, Web Content, Web Analytics and SEO, Target Audience, Usability Testing, Marketing Effectiveness, Goal Setting
4.5
Rating, 4.5 out of 5 stars
102 reviews
Beginner · Guided Project · Less Than 2 Hours