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

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
103 reviews
Beginner · Guided Project · Less Than 2 Hours
IE Business School
Riesgos y oportunidades empresariales en una economía globalizada
Skills you'll gain: Economics, Financial Policy, International Finance, Economic Development, Trend Analysis, Market Opportunities, Global Marketing, Business Economics, Socioeconomics, Business Risk Management, Business Strategies, Policty Analysis, Research, and Development
4.9
Rating, 4.9 out of 5 stars
99 reviews
Intermediate · Course · 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
Status: Free
Coursera Project Network
Clean and analyze social media usage data with Python
Skills you'll gain: Data Visualization, Matplotlib, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Jupyter
4.1
Rating, 4.1 out of 5 stars
32 reviews
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
Using Sensors With Your Raspberry Pi
Skills you'll gain: Data Processing, Technical Design, Systems Design, Data Science, Electronic Systems, Data Cleansing, Data Analysis Software, Statistical Methods, NumPy, Data Validation, Engineering Tolerance, Probability & Statistics, Statistics, Mathematical Modeling
4.7
Rating, 4.7 out of 5 stars
7 reviews
Mixed · Course · 1 - 4 Weeks
Columbia University
Decision Making and Reinforcement Learning
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Data-Driven Decision-Making, Simulations, Probability, Probability & Statistics
4.2
Rating, 4.2 out of 5 stars
19 reviews
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Machine Learning Algorithms with R in Business Analytics
Skills you'll gain: Regression Analysis, R Programming, Exploratory Data Analysis, Business Analytics, Statistical Analysis, Predictive Analytics, Unsupervised Learning, Machine Learning, Data Analysis, Classification And Regression Tree (CART), Supervised Learning
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
38 reviews
Intermediate · Course · 1 - 4 Weeks
University of Maryland, College Park
PMP Exam Prep Certification Training
Skills you'll gain: Stakeholder Management, Project Coordination, Stakeholder Engagement, Resource Planning, Conflict Management, Compliance Management, Team Motivation, Project Management, Trend Analysis, Project Scoping, Project Management Institute (PMI) Methodology, Earned Value Management, Relationship Management, Agile Project Management, Project Management Life Cycle, Organizational Skills, Quality Management, Scope Management, Regulatory Compliance, Change Management
4.8
Rating, 4.8 out of 5 stars
19 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
The Hong Kong University of Science and Technology
Social Science Approaches to the Study of Chinese Society Part 1
Skills you'll gain: Social Sciences, Research Design, Qualitative Research, Research, Research Methodologies, Sociology, Scientific Methods, Survey Creation, Political Sciences, Experimentation, Anthropology, Economics
4.7
Rating, 4.7 out of 5 stars
48 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Introduction to the Tidyverse
Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Ggplot2, File Management
4.4
Rating, 4.4 out of 5 stars
47 reviews
Beginner · Course · 1 - 3 Months
Corporate Finance Institute
Fundamentals of Data Analysis in Excel
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Dashboard, Data Transformation, Data Analysis, Excel Formulas, Exploratory Data Analysis, Data Visualization Software, Data Presentation, Data Manipulation, Data Modeling, Data Cleansing
4.8
Rating, 4.8 out of 5 stars
37 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Columbia University
Causal Inference 2
Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design
3.4
Rating, 3.4 out of 5 stars
14 reviews
Advanced · Course · 1 - 3 Months