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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data Integration and Processing

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Model Deployment, PySpark, Generative AI, Feature Engineering, Deep Learning, Text Mining, Natural Language Processing, Transfer Learning, Unstructured Data, Big Data, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Machine Learning, Distributed Computing, Model Evaluation, Unsupervised Learning, Scalability, Supervised Learning

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Excel for Beginners: Introduction to Spreadsheets

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Microsoft Office, Data Analysis Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    214 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    EDUCBA

    Apply Data Analytics Using SPSS Modeler Workflows

    Skills you'll gain: Dashboard, Data Transformation, Analytics, Data Presentation, Data Preprocessing, Data Analysis, Business Analytics, Statistical Analysis, Statistical Modeling, Data Quality, SPSS, Predictive Modeling, Workflow Management, Data Visualization Software, Regression Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

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

    EDUCBA

    Analyze and Visualize Data Using Power BI

    Skills you'll gain: Data Presentation, Business Reporting, Management Reporting, Real Time Data, Data Security

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Analyze Business Data Using Excel Pivot Tables

    Skills you'll gain: Data Visualization, Dashboard, Pivot Tables And Charts, Microsoft Excel, Business Reporting, Excel Formulas, Case Studies, Business Intelligence, Performance Analysis, Business Analytics, Variance Analysis, Trend Analysis, Data Manipulation, Human Resources Information System (HRIS), Budgeting, Data Analysis, Project Documentation, Issue Tracking, Data Presentation, Data Validation

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Logic & Set Theory

    Skills you'll gain: Computational Logic, Logical Reasoning, Theoretical Computer Science, Deductive Reasoning, Data Structures, Computational Thinking, Computer Science, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SkillUp

    Machine Learning for Healthcare Applications

    Skills you'll gain: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    422 reviews

    Intermediate · Course · 1 - 3 Months

1…686970…834

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

  • Big Data Integration and Processing: University of California San Diego
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Excel for Beginners: Introduction to Spreadsheets: Coursera
  • Apply Data Analytics Using SPSS Modeler Workflows: EDUCBA
  • Analyze and Visualize Data Using Power BI: EDUCBA
  • Analyze Business Data Using Excel Pivot Tables: EDUCBA
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • Discrete Math for Computer Science - Logic & Set Theory: The Hong Kong University of Science and Technology
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Machine Learning for Healthcare Applications: SkillUp

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