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

Packt
Python Fundamentals and Data Science Essentials
Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Data Visualization Software, Seaborn, Pandas (Python Package), Machine Learning, Supervised Learning, Data Analysis, Jupyter, Python Programming, Data Manipulation, Programming Principles, Regression Analysis, Data Structures
Beginner · Course · 1 - 3 Months
Google Cloud
BigQuery Machine Learning using Soccer Data
Skills you'll gain: Analytics, Advanced Analytics, Google Cloud Platform, Big Data, Predictive Analytics, Applied Machine Learning, Predictive Modeling, Business Analytics, Data Mining
Intermediate · Project · Less Than 2 Hours
Corporate Finance Institute
Tableau Fundamentals Case Study - Ecommerce Analysis
Skills you'll gain: Tableau Software, Data Modeling, Dashboard, E-Commerce, Data Visualization Software, Performance Analysis, Data Presentation, Interactive Data Visualization, Data Analysis, Regional Sales, Business Analysis, Key Performance Indicators (KPIs), Business Metrics, Branding
Intermediate · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
Selecting the Right LLM with Hugging Face
Skills you'll gain: Computer Programming, Applied Machine Learning, Analysis, MLOps (Machine Learning Operations), Tensorflow, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Natural Language Processing, Requirements Analysis
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Responsible AI for Developers: Privacy & Safety
Skills you'll gain: Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Personally Identifiable Information, Data Security, Artificial Intelligence and Machine Learning (AI/ML), Cloud Security, Safety and Security, Artificial Intelligence, Encryption, Machine Learning
4.6
Rating, 4.6 out of 5 stars
7 reviews
Intermediate · Course · 1 - 3 Months
DeepLearning.AI
컨볼루션 신경망
Skills you'll gain: Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Network Architecture, Machine Learning, Algorithms
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Predict Visitor Purchases with a Classification Model in BQML
Skills you'll gain: Customer Analysis, Predictive Analytics, E-Commerce, Big Data, Google Cloud Platform, Applied Machine Learning, Machine Learning Methods, Data Analysis, Statistical Modeling
Intermediate · Project · Less Than 2 Hours
Johns Hopkins University
Information Assurance Analysis
Skills you'll gain: Email Security, Malware Protection, Mobile Security, Cybersecurity, Network Security, Internet Of Things, Open Web Application Security Project (OWASP), Network Monitoring, Intrusion Detection and Prevention, Security Controls, TCP/IP, Threat Detection, Network Analysis, Network Protocols, Border Gateway Protocol, Application Security, Information Systems Security, Threat Modeling, Network Routing, Governance
Intermediate · Specialization · 3 - 6 Months
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
SAS
머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정
Skills you'll gain: Machine Learning, Technical Communication, Predictive Analytics, Supervised Learning, Machine Learning Software, Data Analysis, Feature Engineering, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Ethical Standards And Conduct, Performance Analysis, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks
Status: Free
Johns Hopkins University
의료 서비스를 위한 시스템공학의 기초
Skills you'll gain: Health Systems, Healthcare Industry Knowledge, Health Care Administration, Systems Analysis, Systems Integration, Concept Of Operations, System Requirements, Interoperability, Requirements Analysis, Maintainability
Mixed · Course · 1 - 4 Weeks
Packt
Deep Learning: Recurrent Neural Networks with Python
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Network Architecture, Algorithms
Beginner · Specialization · 1 - 3 Months