What skills or experience do I need to already have, before starting to learn predictive analysis?

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.

What kind of people are best suited for roles in 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.

What topics can I study that are related to predictive analysis?

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.

What types of places hire people with a background in predictive analysis?

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.

Top Predictive Analysis Courses - Learn Predictive Analysis Online

Results for "predictive analysis"

IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
71K reviews
Beginner · Specialization · 3 - 6 Months
University of California, Davis
Learn SQL Basics for Data Science
Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Pipelines, Databricks, JSON, Statistical Analysis, Query Languages, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
Status: AI skills
Microsoft
Microsoft Power BI Data Analyst
Skills you'll gain: Data Storytelling, Dashboard, Excel Formulas, Extract, Transform, Load, Power BI, Data Analysis Expressions (DAX), Microsoft Excel, Data Modeling, Data-Driven Decision-Making, Star Schema, Data Analysis, Data Presentation, Data Visualization Software, Microsoft Power Platform, Data Integrity, Spreadsheet Software, Data Validation, Data Transformation, Data Cleansing, Data Visualization
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
6.9K reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Transaction Processing
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Data Manipulation, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
141K reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
Applied Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Predictive Analytics, Web Scraping, Interactive Data Visualization, Automation, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Yale University
The Science of Well-Being
Skills you'll gain: Growth Mindedness, Optimism, Positive Behavior Support, Goal Setting, Resilience, Self-Motivation, Self-Awareness, Emotional Intelligence, Mental Health, Psychology, Social Skills, Decision Making, Time Management
4.9
Rating, 4.9 out of 5 stars
39K reviews
Mixed · Course · 1 - 3 Months
IBM
IBM Data Management
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Data Governance, Data Security, Data Migration, Database Design, Data Visualization, Interactive Data Visualization, Descriptive Statistics, Data Mining, Cloud Storage, Data Visualization Software, Extract, Transform, Load, IBM DB2, Data Management, MySQL, Excel Formulas
4.7
Rating, 4.7 out of 5 stars
16K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: New
IBM
IBM Business Analyst
Skills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Data Presentation, Risk Analysis, Project Scoping, Process Mapping, Process Optimization, Data Visualization, Requirements Management, Risk Management, Interactive Data Visualization, Business Requirements, Stakeholder Management, Stakeholder Engagement, Excel Formulas, Microsoft Excel, Analysis
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Professional Certificate · 3 - 6 Months
Macquarie University
Excel Skills for Business
Skills you'll gain: Microsoft Excel, Dashboard, Excel Formulas, Spreadsheet Software, Data Visualization, Excel Macros, Data Validation, Data Analysis Expressions (DAX), Data Cleansing, Data Modeling, Business Intelligence, Financial Modeling, Workflow Management, Data Management, Microsoft 365, Consolidation, Data Integrity, Data Entry, Business Reporting, Productivity Software
4.9
Rating, 4.9 out of 5 stars
62K reviews
Beginner · Specialization · 3 - 6 Months
DeepLearning.AI
Sequences, Time Series and Prediction
Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Keras (Neural Network Library), Applied Machine Learning, Deep Learning, Predictive Modeling, Artificial Neural Networks, Forecasting, Machine Learning
4.7
Rating, 4.7 out of 5 stars
5.1K reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Data Analysis with R
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Statistical Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Modeling, Probability & Statistics, Probability, Statistics, Data Science, Descriptive Statistics, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months