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

University of London
The Data Science Profession – Student View
Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Data Science, Applied Machine Learning, Real Time Data, Data Analysis, Machine Learning, Statistics
4.7
Rating, 4.7 out of 5 stars
24 reviews
Beginner · Course · 1 - 4 Weeks
Codio
Data Science and Analysis Tools - from Jupyter to R Markdown
Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Interactive Data Visualization, Data Analysis, Data Import/Export, Data Visualization
3.9
Rating, 3.9 out of 5 stars
20 reviews
Beginner · Specialization · 3 - 6 Months
University of California, Irvine
Use Tableau for Your Data Science Workflow
Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Tableau Software, Data Ethics, Exploratory Data Analysis, Scatter Plots, Descriptive Statistics, Heat Maps, Data Analysis, Descriptive Analytics, Geospatial Information and Technology, Analytical Skills, Application Deployment, Network Analysis, Financial Data
4
Rating, 4 out of 5 stars
23 reviews
Beginner · Specialization · 1 - 3 Months
Fred Hutchinson Cancer Center
Write Smarter with Overleaf and LaTeX
Skills you'll gain: GitHub, Technical Writing, Technical Support, Version Control, Document Management, Technical Documentation, Typography
4.4
Rating, 4.4 out of 5 stars
117 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
أساسيات تحليل البيانات باستخدام جداول بيانات جوجل
Skills you'll gain: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Spreadsheet Software, Data Visualization, Graphing, Statistics, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
141 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Introduction to R Programming and Tidyverse
Skills you'll gain: Rmarkdown, Ggplot2, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Transformation, Software Installation, Development Environment
4.3
Rating, 4.3 out of 5 stars
44 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
École Polytechnique Fédérale de Lausanne
Villes africaines I: Introduction à la planification urbaine
Skills you'll gain: Governance, Land Management, Public Administration, Community Development, Environmental Issue, Spatial Analysis, Economic Development, Project Finance, Environment and Resource Management, Operational Analysis, Finance, Fiscal Management, Property and Real Estate, Socioeconomics
4.7
Rating, 4.7 out of 5 stars
44 reviews
Intermediate · Course · 1 - 3 Months
Queen Mary University of London
Analysis and Interpretation of Data
Skills you'll gain: Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Analytical Skills, Data Quality, Probability & Statistics, Trend Analysis, Data Cleansing, Digital Marketing, Exploratory Data Analysis, Market Research, Return On Investment
4.6
Rating, 4.6 out of 5 stars
9 reviews
Beginner · Course · 1 - 4 Weeks
Emory University
Survey analysis to Gain Marketing Insights
Skills you'll gain: Customer Analysis, Statistical Analysis, Target Market, Marketing Analytics, Customer Insights, Target Audience, Market Research, Data Analysis, Analysis, Business Analytics, Marketing, Exploratory Data Analysis, Data-Driven Decision-Making, Marketing Strategy and Techniques, Consumer Behaviour, Brand Management
4.5
Rating, 4.5 out of 5 stars
122 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free
University of Minnesota
Matrix Methods
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming
4.1
Rating, 4.1 out of 5 stars
242 reviews
Intermediate · Course · 1 - 3 Months
Tecnológico de Monterrey
Analíticas de Marketing Digital
Skills you'll gain: Web Analytics, Google Analytics, Web Analytics and SEO, Social Media, Search Engine Marketing, Social Media Management, Marketing Analytics, Market Research, Digital Marketing, Marketing Effectiveness, Analytical Skills, Social Media Strategy, Email Marketing, Customer Data Management, Web Content, Analytics, Business Metrics, Key Performance Indicators (KPIs), Performance Analysis, Facebook
4.7
Rating, 4.7 out of 5 stars
202 reviews
Intermediate · Specialization · 1 - 3 Months
MathWorks
Image Segmentation, Filtering, and Region Analysis
Skills you'll gain: Image Analysis, Matlab, Computer Vision, Spatial Analysis, 3D Modeling, Visualization (Computer Graphics)
4.8
Rating, 4.8 out of 5 stars
43 reviews
Beginner · Course · 1 - 4 Weeks