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
AI Workflow: Data Analysis and Hypothesis Testing
Skills you'll gain: Exploratory Data Analysis, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Dashboard, Data Analysis, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Data Quality, Data Manipulation, Python Programming
4.3
Rating, 4.3 out of 5 stars
122 reviews
Advanced · 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
Kennesaw State University
The Control Phase for the 6 σ Black Belt
Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Manufacturing, Process Improvement, Process Capability, Quality Improvement, Run Chart, Continuous Improvement Process, Operational Efficiency, Business Process Improvement, Variance Analysis, Performance Improvement, Analysis, Document Management, Training and Development
4.3
Rating, 4.3 out of 5 stars
25 reviews
Mixed · 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
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
Tecnológico de Monterrey
Analíticas y Métricas de Marketing
Skills you'll gain: Web Analytics, Google Analytics, Web Analytics and SEO, Marketing Analytics, Marketing Effectiveness, Web Content, Digital Marketing, Business Metrics, Target Audience, Marketing, Customer Analysis, Performance Measurement, Competitive Analysis, Consumer Behaviour, Data-Driven Decision-Making
4.7
Rating, 4.7 out of 5 stars
167 reviews
Beginner · Course · 1 - 4 Weeks
University of Florida
Agroforestry
Skills you'll gain: Land Management, Environment and Resource Management, Water Resources, Natural Resource Management, Environmental Issue, Environment, Plant Operations and Management, Systems Thinking, Environmental Management Systems, Scientific Methods, Cultural Diversity, Spatial Analysis, General Science and Research, Mitigation, Research, Socioeconomics, Science and Research
4.8
Rating, 4.8 out of 5 stars
65 reviews
Intermediate · Specialization · 3 - 6 Months
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
Coursera Project Network
Introduction to Microsoft Excel
Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Productivity Software, Expense Management, Budgeting, Inventory Management System
4.6
Rating, 4.6 out of 5 stars
33 reviews
Beginner · Guided Project · Less Than 2 Hours
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
Status: Free
École Polytechnique
Aléatoire : une introduction aux probabilités - Partie 2
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Mathematical Theory & Analysis, Simulations, Statistical Methods, Statistical Inference
4.6
Rating, 4.6 out of 5 stars
38 reviews
Mixed · Course · 1 - 3 Months
Johns Hopkins University
Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)
Skills you'll gain: Patient Safety, Data Analysis, Data Presentation, Continuous Quality Improvement (CQI), Data Visualization Software, Data-Driven Decision-Making, Data Quality, Statistical Analysis, Descriptive Statistics, Data Collection, Data Management
4.7
Rating, 4.7 out of 5 stars
88 reviews
Mixed · Course · 1 - 4 Weeks