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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Getting Started with Jira

    Skills you'll gain: Sprint Planning, Work Breakdown Structure, Jira (Software), Dashboard, Sprint Retrospectives, User Story, Verification And Validation, Quality Assurance, Issue Tracking, Software Testing, Data Visualization, Test Planning, Workflow Management, Project Management, Data-Driven Decision-Making, Continuous Improvement Process, Kanban Principles, Agile Methodology, Capacity Planning, Root Cause Analysis

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Cambridge

    Ethical AI: AI essentials for everyone

    Skills you'll gain: AI Security

    4.9
    Rating, 4.9 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Interviewing for DS/AI Roles

    Skills you'll gain: Smart Goals, Interviewing Skills, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Negotiation, Workforce Planning, Professional Development, LinkedIn, Artificial Intelligence, Machine Learning, Talent Sourcing, Compensation and Benefits, Data Science, Data Analysis, Recruitment, Data Architecture, Presentations, Technical Consulting, Big Data, Job Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    20 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Responsible AI - Principles and Ethical Considerations

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Artificial Intelligence, Ethical Standards And Conduct, Information Privacy, Personally Identifiable Information, Data Governance, Data Security, Governance, Complex Problem Solving, Critical Thinking

    4.4
    Rating, 4.4 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California, Davis

    The Strategy of Content Marketing

    Skills you'll gain: Content Marketing, Competitive Analysis, Copywriting, Marketing Strategy and Techniques, Social Media Strategy, Brand Marketing, Digital Media Strategy, Writing, Marketing Analytics, Search Engine Optimization, Business-To-Consumer, B2B Sales, Auditing

    4.5
    Rating, 4.5 out of 5 stars
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    5.4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Regression Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    138 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Build a Cassandra Project with Java CRUD Operations

    Skills you'll gain: Back-End Web Development, Full-Stack Web Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Cluster Analysis, Association Mining, and Model Evaluation

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Analytics, Anomaly Detection, Fraud detection, Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Classification Algorithms, Collaborative Software

    4.5
    Rating, 4.5 out of 5 stars
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    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
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    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Build a C# .NET Rainfall Measurement System

    Skills you'll gain: Database Design, .NET Framework, C# (Programming Language), Data Validation, Microsoft SQL Servers, Databases, Software Development, Software Testing, Application Development, Event-Driven Programming, User Interface (UI), Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Artificial Intelligence Privacy and Convenience

    Skills you'll gain: Data Ethics, AI Security, Responsible AI, Information Privacy, Personally Identifiable Information, Machine Learning, Artificial Intelligence, Data Integrity, Data Security, Vulnerability Assessments, Data Governance, Predictive Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    101 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular introduction to data science courses

  • Getting Started with Jira: Coursera
  • Ethical AI: AI essentials for everyone: University of Cambridge
  • Interviewing for DS/AI Roles: University of California, Irvine
  • Responsible AI - Principles and Ethical Considerations: Fractal Analytics
  • The Strategy of Content Marketing: University of California, Davis
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
  • Build a Cassandra Project with Java CRUD Operations: EDUCBA
  • Cluster Analysis, Association Mining, and Model Evaluation: University of California, Irvine
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM

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