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
Calculating Descriptive Statistics in R
Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Statistical Methods, Probability & Statistics
4.8
Rating, 4.8 out of 5 stars
52 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Universidad Nacional Autónoma de México
Estadística y probabilidad
Skills you'll gain: Descriptive Statistics, Statistics, Data Analysis, Statistical Methods, Correlation Analysis, Statistical Analysis, Data Presentation, Probability, Data-Driven Decision-Making, Quantitative Research, Regression Analysis, Probability Distribution, Exploratory Data Analysis, Graphing
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 4 Weeks
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Google Sheets, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software, Microsoft Excel
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
University of California, Santa Cruz
Bayesian Statistics: Capstone Project
Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Statistical Inference, Sampling (Statistics), Probability Distribution
Advanced · Course · 1 - 4 Weeks
American Psychological Association
Statistics in Psychological Research
Skills you'll gain: Data Visualization, Descriptive Statistics, Plot (Graphics), Graphing, Data Presentation, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Statistical Methods, Sample Size Determination, Data Analysis, Sampling (Statistics), Scatter Plots, Psychology, Research Design, Diversity Programs
4.5
Rating, 4.5 out of 5 stars
39 reviews
Beginner · Course · 1 - 3 Months
University of Houston
Math behind Moneyball
Skills you'll gain: Statistics, Microsoft Excel, Game Theory, Predictive Modeling, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data Analysis, Analytics, Forecasting, Probability, Simulation and Simulation Software, Applied Mathematics, Strategic Decision-Making, Business Strategy
4.5
Rating, 4.5 out of 5 stars
97 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
What are the Chances? Probability and Uncertainty in Statistics
Skills you'll gain: Statistics, Probability & Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Methods, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
4.6
Rating, 4.6 out of 5 stars
17 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Fitting Statistical Models to Data with Python
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Data Manipulation
4.4
Rating, 4.4 out of 5 stars
696 reviews
Intermediate · Course · 1 - 4 Weeks
Illinois Tech
Bayesian Computational Statistics
Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Advanced Analytics, R Programming, Statistical Machine Learning, Markov Model, Predictive Modeling, Probability, Simulations, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months
Coursera Project Network
COVID19 Data Analysis Using Python
Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Python Programming
4.5
Rating, 4.5 out of 5 stars
2K reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Exploring and Producing Data for Business Decision Making
Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Microsoft Excel, Statistical Inference, Data Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Analytical Skills, Probability & Statistics, Statistical Analysis, Data Presentation, Decision Making
4.8
Rating, 4.8 out of 5 stars
1K reviews
Beginner · Course · 1 - 3 Months
Arizona State University
Experimental Design Basics
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Software, A/B Testing, Data Analysis, Estimation, Descriptive Statistics, Quality Control, Variance Analysis
4.7
Rating, 4.7 out of 5 stars
292 reviews
Intermediate · Course · 1 - 3 Months