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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.


Popular Statistics For Data Science Courses and Certifications


  • C

    Coursera

    Create Customer Support Data with Google Sheets

    Skills you'll gain: Excel Formulas, Google Sheets, Service Level, Spreadsheet Software, Customer Data Management, Customer Support, Data Entry, Data Validation, Process Analysis, Data Analysis, Data Integration, Organizational Skills, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    414 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Business Intelligence

    Skills you'll gain: Stakeholder Engagement, Business Intelligence, Stakeholder Communications, Data-Driven Decision-Making, Dashboard, Business Analytics, Real Time Data, Data Integration, Data Modeling, Data Storytelling, Project Design, Data Analysis, Key Performance Indicators (KPIs), Business Process Improvement, Business Process, Project Implementation, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

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

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    607 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Università di Napoli Federico II

    Comparative Political Systems

    Skills you'll gain: Political Sciences, Policy Analysis, Social Sciences, Systems Thinking, Governance, World History, Research Methodologies, Case Studies

    4.4
    Rating, 4.4 out of 5 stars
    ·
    38 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Project Management

    Skills you'll gain: Quality Management, Project Management Life Cycle, Requirements Analysis, Project Scoping, Project Closure, Project Management, Project Planning, Agile Project Management, Continuous Improvement Process, Project Controls, Backlogs, Milestones (Project Management), Project Risk Management, Stakeholder Analysis, Quality Assessment, Team Management, Agile Methodology, Change Management, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    139K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Science at Scale

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Statistical Machine Learning, Model Evaluation, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    922 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Management and Visualization

    Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    943 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Human Resource Management: HR for People Managers

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

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

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1…414243…834

In summary, here are 10 of our most popular statistics for data science courses

  • Create Customer Support Data with Google Sheets: Coursera
  • Foundations of Business Intelligence: Google
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Machine Learning in Production: DeepLearning.AI
  • Inferential Statistics: University of Amsterdam
  • Comparative Political Systems: Università di Napoli Federico II
  • Google Project Management: Google
  • Data Science at Scale: University of Washington
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Data Management and Visualization: Wesleyan University

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