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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


  • A

    Amazon Web Services

    AWS Cloud Support Associate

    Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Command-Line Interface, Amazon CloudWatch, AWS CloudFormation, Root Cause Analysis, Amazon DynamoDB, Customer Relationship Building, Network Troubleshooting, Amazon Web Services, Customer Relationship Management, Software Architecture, Linux Commands, Cloud Computing, Linux, Amazon S3, Web Applications, Information Technology, Customer Service, Software Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Forecasting, Predictive Analytics, Business Analytics, Simulation and Simulation Software, Probability, Logistic Regression, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 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

  • 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

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Neuroscience and Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Radiology, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The University of Tokyo

    Studying at Japanese Universities

    Skills you'll gain: Higher Education, Cultural Sensitivity, Intercultural Competence, Cultural Diversity, Language Learning, Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    455 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University at Buffalo

    Blockchain Basics

    Skills you'll gain: Blockchain, Cryptography, Transaction Processing, Network Protocols, Encryption, Data Structures, Distributed Computing, Virtual Environment, Data Integrity, Emerging Technologies, Data Validation, Algorithms, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Databases for Data Scientists

    Skills you'll gain: Database Design, SQL, Database Management Systems, NoSQL, Relational Databases, Data Warehousing, Database Theory, Database Architecture and Administration, Database Administration, Databases, Database Systems, Database Management, Data Modeling, Query Languages, Big Data, Data Architecture, Database Application, Data Integrity, Data Access, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    Y

    Yonsei University

    Spatial Data Science and Applications

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Database Management Systems, Big Data, Apache Hadoop, PostgreSQL, Network Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    531 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Setting Up a Digital Library with EPIC

    Skills you'll gain: Digital pedagogy, Education Software and Technology, Learning Management Systems, digital literacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    84 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Developing Data Products

    Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Presentation, Data Visualization Software, R Programming, Data Mapping, Statistical Reporting, Software Documentation, Web Applications, Package and Software Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Mixed · Course · 1 - 3 Months

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

  • AWS Cloud Support Associate: Amazon Web Services
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Practical Machine Learning: Johns Hopkins University
  • Neuroscience and Neuroimaging: Johns Hopkins University
  • Studying at Japanese Universities: The University of Tokyo
  • Blockchain Basics: University at Buffalo
  • Databases for Data Scientists: University of Colorado Boulder
  • Spatial Data Science and Applications: Yonsei University

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