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    Results for "predictive analysis"

    • U

      University of California, Davis

      Search Engine Optimization (SEO)

      Skills you'll gain: Keyword Research, Search Engine Optimization, Web Analytics and SEO, Content Creation, Social Media Strategy, Competitive Analysis, Target Audience, Client Services, Content Marketing, Peer Review, Social Media Marketing, Consumer Behaviour, Google Analytics, Presentations, Marketing, Forecasting, Digital Marketing, Expectation Management, Content Strategy, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Virginia

      Business Strategy

      Skills you'll gain: Growth Strategies, Business Strategy, Strategic Thinking, Plan Execution, Mergers & Acquisitions, Competitive Analysis, Organizational Strategy, Business Ethics, Peer Review, Data-Driven Decision-Making, Corporate Strategy, Strategic Decision-Making, Governance, Stakeholder Management, New Business Development, Business Research, Analysis, Project Management, Innovation, Market Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Attract and Engage Customers with Digital Marketing

      Skills you'll gain: Search Engine Marketing, Search Engine Optimization, Google Ads, Online Advertising, Target Audience, Digital Marketing, Digital Advertising, Persona Development, Web Analytics and SEO, Keyword Research, Pay Per Click Advertising, Marketing, Customer Engagement, Customer Acquisition Management, Advertising, Marketing Strategies, Lead Generation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      AI in Healthcare

      Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Medical Records, Unstructured Data, Health Care, Patient Evaluation, Health Informatics, Data Mining, Statistical Machine Learning, Applied Machine Learning, Electronic Medical Record, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Health Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Linear Algebra, Data Cleansing, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Minnesota

      Human Resource Management: HR for People Managers

      Skills you'll gain: Performance Management, Performance Appraisal, Employee Performance Management, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Recruitment Strategies, Human Capital, Compensation Analysis, Talent Acquisition, Human Resources Management and Planning, People Management, Job Analysis, Payroll

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      Starweaver

      Fundamentals of Business Analysis

      Skills you'll gain: Business Analysis, Scope Management, Business Requirements, Stakeholder Management, Change Management, Systems Analysis, Business Process, Quality Management, Project Management, Solution Delivery, Needs Assessment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      81 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Customer Analytics

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Marketing Analytics, Predictive Analytics, Customer Insights, Customer Analysis, Business Analytics, Customer Data Management, Analytics, Marketing, Data Collection, Market Research, Regression Analysis, Consumer Behaviour, Correlation Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • G

      Google

      Capstone: Applying Project Management in the Real World

      Skills you'll gain: Project Management, Milestones (Project Management), Data Storytelling, Requirements Analysis, Project Scoping, Project Schedules, Stakeholder Management, Project Planning, Project Documentation, Stakeholder Communications, Quality Management, Interviewing Skills, Communication

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Google Business Intelligence

      Skills you'll gain: Business Intelligence, Data Modeling, Dashboard, Database Design, Extract, Transform, Load, Data Integration, Stakeholder Engagement, Data Warehousing, Data Presentation, Performance Tuning, Data Pipelines, Data Visualization Software, Business Reporting, Data Integrity, Business Analytics, Real Time Data, Requirements Elicitation, Scalability, Business Process, Data-Driven Decision-Making

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    Searches related to predictive analysis

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    1…141516…531

    In summary, here are 10 of our most popular predictive analysis courses

    • Search Engine Optimization (SEO): University of California, Davis
    • Business Strategy: University of Virginia
    • Attract and Engage Customers with Digital Marketing: Google
    • AI in Healthcare: Stanford University
    • Natural Language Processing: DeepLearning.AI
    • Human Resource Management: HR for People Managers: University of Minnesota
    • Fundamentals of Business Analysis : Starweaver
    • R Programming: Johns Hopkins University
    • Customer Analytics: University of Pennsylvania
    • Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud

    Frequently Asked Questions about 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.‎

    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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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