What is statistical modeling?

Statistical modeling is the process of using statistics to analyze data and make it usable for decision-making and analysis. It involves using computer programs to pull out numbers from data sets, identify trends, make predictions, and understand different situations. Most statistical modeling results in charts, graphs, or other types of reports to explain the data.

Why is it important to learn statistical modeling?

It's important to learn statistical modeling for many reasons to comprehend related material as a student and fulfill work-related requirements. Students often need to learn it because it's used in many different academic fields to understand the material. Many occupations either involve doing statistical analysis or being able to use the output in order to make decisions. Because of the way that data is reported in the media, it's helpful for members of the general public to have some understanding of how statistical modeling works.

What are typical careers that use statistical modeling?

Typical careers that use statistical modeling are medical research, scientific research, and financial analysis, but it is a component of many different fields. People working in marketing and sales use statistical modeling to build forecasts and generate prospects. Business managers use it to make decisions and to share information. Academics use it to understand trends and patterns in their fields. Journalists use statistical modeling to present information in their stories. By turning data into usable information, including charts and graphs, statistical modeling can add value to many different fields. People who understand the fundamentals of quantitative modeling and statistical model can expect the skill to enhance their careers.

How can taking online courses on Coursera help me learn statistical modeling?

Taking online courses on Coursera can help you learn statistical modeling in different ways, depending on your interests and needs. Some courses cover the fundamentals of statistics, which may be helpful if you have little background in the area. Others look at how statistical modeling is done with different software packages, such as Python, Excel, or SAS. Many classes focus on the uses of statistical modeling in specific fields, such as artificial intelligence, finance, or history. All classes include projects that help you apply what you learn.

What are the benefits of taking an online Statistical Modeling course?

Online Statistical Modeling courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Modeling skills. Choose from a wide range of Statistical Modeling courses offered by top universities and industry leaders tailored to various skill levels.

What Statistical Modeling courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Statistical Modeling, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Statistical Modeling Courses - Learn Statistical Modeling Online

Explore the Statistical Modeling Course Catalog

Status: Free Trial
Microsoft
Artificial Intelligence on Microsoft Azure
Skills you'll gain: Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Machine Learning
4.6
Rating, 4.6 out of 5 stars
801 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Copenhagen Business School
Social Entrepreneurship
Skills you'll gain: Growth Strategies, Team Oriented, Marketing Communications, Business Modeling, Business Planning, Entrepreneurship, Organizational Structure, Marketing Effectiveness, Market Opportunities, Communication Strategies, New Business Development, Business Development, Strategic Partnership, Business Strategies, Community Development, Program Evaluation, Social Sciences, Business Strategy, Performance Measurement, Fundraising
4.6
Rating, 4.6 out of 5 stars
389 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Yonsei University
Emerging Technologies: From Smartphones to IoT to Big Data
Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Cloud Services, Internet Of Things, Live Streaming, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Multimedia, Emerging Technologies, Mobile Development, Apple iOS, Display Devices
4.7
Rating, 4.7 out of 5 stars
1.9K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Universidad de los Andes
Ciencia de datos
Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Visualization Software, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Statistical Analysis, Regression Analysis, Applied Machine Learning
4.7
Rating, 4.7 out of 5 stars
511 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Rice University
Business Applications of Hypothesis Testing and Confidence Interval Estimation
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Decision Making
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Mixed · Course · 1 - 4 Weeks
University of Manchester
Our Earth: Its Climate, History, and Processes
Skills you'll gain: Physical Science, Environment, Water Resources, Mathematical Modeling, Environmental Science, Biology, Simulations, Scientific Methods, Chemistry
4.7
Rating, 4.7 out of 5 stars
439 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Alberta
Reviews & Metrics for Software Improvements
Skills you'll gain: Sprint Retrospectives, Scrum (Software Development), Software Technical Review, Agile Project Management, Software Quality Assurance, Agile Methodology, User Story, Requirements Analysis, Usability Testing, User Research
4.7
Rating, 4.7 out of 5 stars
1.7K reviews
Mixed · Course · 1 - 4 Weeks
Pontificia Universidad Católica de Chile
Diseño y Creación de un Emprendimiento Social
Skills you'll gain: Business Modeling, Design Thinking, Ideation, Innovation, Entrepreneurship, Project Design, Business Strategy, Community Development, Social Sciences, Corporate Sustainability
4.9
Rating, 4.9 out of 5 stars
993 reviews
Beginner · Course · 1 - 4 Weeks
University of Leeds
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Introduction to R Programming for Data Science
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
4.5
Rating, 4.5 out of 5 stars
567 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Hypothesis Testing in Public Health
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Statistical Analysis, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health
4.8
Rating, 4.8 out of 5 stars
637 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Technical University of Munich (TUM)
Digitalisation in Aeronautics and Space
Skills you'll gain: Global Positioning Systems, Human Factors, Manufacturing Processes, Digital Transformation, Aerospace Basic Quality System Standards, Environmental Monitoring, Control Systems, Production Process, Automation, Manufacturing and Production, Structural Analysis, Leadership, Big Data, Human Machine Interfaces, Cybersecurity, Mathematical Modeling, Artificial Intelligence, Engineering Design Process, Threat Detection, Network Architecture
4.6
Rating, 4.6 out of 5 stars
455 reviews
Intermediate · Specialization · 3 - 6 Months