
Dartmouth College
Skills you'll gain: Predictive Modeling, Analytics, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Business Analytics, Model Training, Ethical Standards And Conduct, Data Ethics, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Statistical Modeling, Data Strategy, Regression Analysis, Supervised Learning, Model Optimization
Intermediate · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Predictive Analytics, Data Cleansing, Unsupervised Learning, Data Transformation, Data Analysis, Statistical Machine Learning, Analytics, Data Science, Data Mining, R (Software), Classification Algorithms, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Data Preprocessing, Machine Learning, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

O.P. Jindal Global University
Skills you'll gain: Data Mining, Predictive Modeling, Predictive Analytics, Advanced Analytics, Business Analytics, Dimensionality Reduction, Forecasting, Data-Driven Decision-Making, Customer Analysis, Regression Analysis, Demand Planning, Classification Algorithms, Machine Learning Methods, Customer Insights, Logistic Regression, Market Analysis, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Correlation Analysis
Mixed · Course · 3 - 6 Months

University of Minnesota
Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Model Training, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Manipulation, Data Transformation, Feature Engineering, Statistical Modeling, Spreadsheet Software, Predictive Analytics, Model Optimization, Data Cleansing, Statistical Methods
★ 4.8 (144) · Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Data Preprocessing, Data Ethics, Model Evaluation, Model Training, Business Reporting, Responsible AI, Performance Reporting, Business Ethics, Business Communication
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Generative Model Architectures, OpenAI, Data Storytelling, Analytics, Prompt Engineering Tools, AI literacy, Dashboard Creation, Data Analysis, Interactive Data Visualization, Data Ethics, Responsible AI, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Augmented and Virtual Reality (AR/VR), Data Processing
★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Marketing Analytics, Dashboard, Dashboard Creation, Data-Driven Marketing, Data Presentation, Data Visualization, Predictive Modeling, Data-Driven Decision-Making, Marketing Strategies, Predictive Analytics, Marketing, Data Visualization Software, Market Data, Data Analysis, Forecasting, Data Collection, Strategic Decision-Making
★ 3.8 (13) · Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, People Analytics, Data Analysis, Python Programming
★ 4.5 (280) · Intermediate · Specialization · 3 - 6 Months

John Wiley & Sons
Skills you'll gain: Predictive Analytics, Patient Safety, Health Informatics, Patient Flow, Patient-centered Care, Hospital Experience, Predictive Modeling, Healthcare Project Management, Clinical Leadership, Care Management, Pain Management, Nursing and Patient Care, Health Care, Data-Driven Decision-Making, Nursing Management, Value-Based Care, Healthcare Industry Knowledge, Health Technology, Data Science, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

Corporate Finance Institute
Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Data Visualization, Model Evaluation, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Presentation, Data Science, Plot (Graphics), Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Machine Learning Algorithms, Correlation Analysis, Advanced Analytics, Predictive Analytics
★ 4.8 (30) · Advanced · Specialization · 3 - 6 Months
Prerequisites for learning predictive analysis include algebra, basic statistics, and skills using a spreadsheet program, such as Excel. Data analytics for business, which includes analytical processes such as data creation, data storage, and accessibility of data can typically be learned before moving into the study of predictive analysis. Experience working with data can also help when starting to learn predictive analysis. These areas of analytics can serve as a foundation for more advanced analytic topics, such as predictive analysis. Advanced mathematics and good reading skills can also be helpful to have before starting to learn predictive analysis. Additionally, regression analysis and data cleansing are two other areas to consider learning before starting to study predictive analysis.‎
People who enjoy analytical thinking and solving complex numerical problems and who also enjoy math and computer science are typically best suited to predictive analysis roles. Patience and willingness to go over the same data set over and over to find key bits of information are two qualities of people who are likely to do well in this area of data analysis. These are typically people who are creative and curious and who have advanced technical skills. Additionally, people who are well suited to predictive analysis also typically have excellent written and verbal communication skills and good decision-making skills.‎
Business management is a topic you can study that’s related to predictive analysis. Business management requires good decision-making, and analytics can help you make more informed decisions. According to the Bureau of Labor Statistics, analysts who are working in operations management typically have degrees in the related fields of management science, computer science, engineering, and other technical or quantitative study areas.‎
Raw materials and manufacturing companies typically hire people who have predictive analysis backgrounds for job titles like predictive analysis engineer and data analyst. Educational facilities are another type of place that can hire people who have backgrounds in predictive analysis for teaching positions. Health care facilities, financial institutions, and retail facilities can be potential employers for people in this field. People who have predictive analysis backgrounds could also be hired by IT companies that manage large quantities of numerical data.‎