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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


  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Performance Metric, Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Statistics, Model Optimization, Applied Mathematics

    Build toward a degree

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Project Management

    Skills you'll gain: Project Management Life Cycle, Change Management, Project Management, Agile Project Management, Organizational Structure, Program Management, Project Planning, Agile Methodology, Waterfall Methodology, Strategic Thinking

    4.9
    Rating, 4.9 out of 5 stars
    ·
    101K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Data Analysis with Spreadsheets and SQL

    Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Dashboard, Dashboard Creation, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Marketing Analytics, Data Wrangling, Exploratory Data Analysis, Data Manipulation, Statistical Analysis, Analysis, SQL, Query Languages

    4.6
    Rating, 4.6 out of 5 stars
    ·
    292 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D
    A

    Multiple educators

    DeepLearning.AI Data Engineering

    Skills you'll gain: Data Store, Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Requirements Elicitation, Vector Databases, Extract, Transform, Load, Data Lakes, Data Integration, Infrastructure as Code (IaC), Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    598 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI literacy, Data Ethics, AI Enablement, LLM Application, AI Product Strategy, Artificial Intelligence, Retrieval-Augmented Generation, Business Process Automation, Automation, Cloud Applications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Machine Learning Methods, Recurrent Neural Networks (RNNs), Python Programming, Model Training, Model Optimization

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Getting Started with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft Office, Microsoft 365

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Applied Mathematics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Bayesian Statistics, Classification And Regression Tree (CART), Statistical Machine Learning, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis, Predictive Modeling, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    Tableau Learning Partner

    Introduction to Tableau

    Skills you'll gain: Tableau Software, Data Visualization Software, Business Analytics, Business Intelligence, Data Preprocessing, Data Integration, Data Cleansing, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    320 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to Data Analytics: Meta
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Foundations of Project Management: Google
  • Data Analysis with Spreadsheets and SQL: Meta
  • DeepLearning.AI Data Engineering: DeepLearning.AI
  • Generative AI for Everyone: DeepLearning.AI
  • Generative AI for Data Scientists: IBM
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Getting Started with Microsoft Excel: Coursera
  • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology

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