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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: New
    New
    P

    Packt

    Future Thinking

    Skills you'll gain: Strategic Thinking, Leadership, Organizational Strategy, Creative Thinking, Collaboration, Business Research, AI Enablement, Data-Driven Decision-Making

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C++ For C Programmers, Part A

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Algorithms, C (Programming Language), Programming Principles, Computer Programming, Graph Theory, Data Structures

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Measurement – Turning Concepts into Data

    Skills you'll gain: Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Research Design, Model Evaluation, Data Transformation, Statistical Analysis, Data Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    82 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Analysis with Pandas and Python

    Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Sydney

    Introduction to Calculus

    Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Engineering Calculations, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing, Estimation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Python Basic Structures: Lists, Strings, and Files

    Skills you'll gain: Computer Programming, Programming Principles, Data Import/Export, Data Structures, Integrated Development Environments, Python Programming, Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Zurich

    Teaching Science at University

    Skills you'll gain: Laboratory Experience, Teaching, Instructional Strategies, Experimentation, Education and Training, Pedagogy, Lecturing, Student Engagement, Research Design, Drive Engagement, Course Development, Scientific Methods, Simulations, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    195 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    286 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Electrodynamics

    Skills you'll gain: electromagnetics, Electrical Engineering, Electrical Systems, Differential Equations, Physics, Materials science, Engineering Analysis, Applied Mathematics, Electronic Components, Advanced Mathematics, Scientific Visualization, Visualization (Computer Graphics), Engineering Calculations, Mechanics, Energy and Utilities, Electronics, Mathematical Modeling, Calculus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    960 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Work Smarter with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Data Visualization, Spreadsheet Software, Microsoft Office, Microsoft 365, Productivity Software, Data Import/Export, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Predictive Analytics for Business with H2O in R

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Business Analytics, Data Science, Feature Engineering, Data Preprocessing, Machine Learning, Telemarketing, Model Deployment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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1…149150151…834

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

  • Future Thinking: Packt
  • C++ For C Programmers, Part A: University of California, Santa Cruz
  • Measurement – Turning Concepts into Data: Johns Hopkins University
  • Foundations of Data Analysis with Pandas and Python: Packt
  • Introduction to Calculus: The University of Sydney
  • Python Basic Structures: Lists, Strings, and Files: Codio
  • Teaching Science at University: University of Zurich
  • Deep Learning and Reinforcement Learning: IBM
  • Electrodynamics: Korea Advanced Institute of Science and Technology(KAIST)
  • Work Smarter with Microsoft Excel: Microsoft

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