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

Packt
Keras Deep Learning & Generative Adversarial Networks (GAN)
Skills you'll gain: Keras (Neural Network Library), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Exploratory Data Analysis, Deep Learning, Matplotlib, Artificial Intelligence, Pandas (Python Package), Python Programming, NumPy, Data Processing, Data Analysis, Artificial Neural Networks, Data Visualization, Classification And Regression Tree (CART), Regression Analysis, Data Science, Computer Vision, Tensorflow
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Data Science Decisions in Time: Using Data Effectively
Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Bayesian Statistics, Data Science, Predictive Analytics, Statistical Methods, Anomaly Detection, Machine Learning Methods, Statistical Analysis, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months
Vanderbilt University
From Data to Decisions: Finding Patterns with AI
Skills you'll gain: Statistical Methods, Statistical Analysis, Data Visualization, Generative AI, Statistical Hypothesis Testing, Data Storytelling, Box Plots, Data Visualization Software, Data Analysis, Probability & Statistics, Data-Driven Decision-Making, Exploratory Data Analysis, Artificial Intelligence, Histogram, Technical Communication
Beginner · Course · 1 - 4 Weeks
University of Virginia
L'analyse marketing
Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Marketing, Customer Analysis, Brand Management, Web Analytics, Regression Analysis, Data Analysis, Return On Investment, Consumer Behaviour, A/B Testing, Statistical Methods
Beginner · Course · 1 - 3 Months
University of Minnesota
Social Determinants of Health: Health Care Systems
Skills you'll gain: Health Systems, Data Analysis, Health Care, Data Ethics, Correlation Analysis, Patient Education and Support, Heat Maps, Epidemiology, Community Mental Health Services, Statistical Analysis, Psychiatry, Mental and Behavioral Health Specialties, Trauma Care, Behavioral Health, Mental Health, Health Assessment, Ethical Standards And Conduct, Public Policies, Social and Human Services, Social Sciences
Beginner · Course · 1 - 3 Months
Coursera Project Network
Audience Demographics with Facebook Audience Insights
Skills you'll gain: Target Audience, Facebook, Web Analytics, Social Media Marketing, Customer Insights, Social Media, Advertising, Marketing, Performance Analysis, Performance Metric
Intermediate · Guided Project · Less Than 2 Hours
University of Colorado System
Linear Kalman Filter Deep Dive (and Target Tracking)
Skills you'll gain: Estimation, Advanced Mathematics, Mathematical Modeling, Matlab, Linear Algebra, Statistical Methods, Numerical Analysis, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks
SkillUp EdTech
The DMAIC Framework: Analyze, Improve, and Control Phase
Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Statistical Methods, Quality Control, Root Cause Analysis, Data-Driven Decision-Making, Regression Analysis, Process Optimization, Correlation Analysis
Beginner · Course · 1 - 3 Months
Google Cloud
Working with Notebooks in Vertex AI
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning Software, Cloud Computing, Cloud Services, Machine Learning, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks
American Psychological Association
How to Create and Explore a Data Set
Skills you'll gain: Histogram, Data Analysis, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Descriptive Statistics, Statistics, Probability & Statistics, Data Management, Research, Psychology
Beginner · Course · 1 - 3 Months
Coursera Project Network
Conducting Exploratory Data Analysis
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Analysis, Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
Foundations of Probability and Random Variables
Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
Intermediate · Course · 1 - 3 Months