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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
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Preprocessing, Data Access, Applied Machine Learning, Model Evaluation, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Statistical Methods, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Back-End Developer

    Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), API Testing, Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Python Programming, Computer Programming, Cloud Hosting

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

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

    Packt

    Data Processing and Exploration with NumPy & Pandas

    Skills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Geographic Information Systems (GIS)

    Skills you'll gain: ArcGIS, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Geospatial Information and Technology, Geospatial Mapping, Public Health and Disease Prevention, Public Health, Land Management, Heat Maps, Data Sharing, Epidemiology, Community Health, Metadata Management, Image Analysis, Project Management, Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Berklee

    Music for Wellness

    Skills you'll gain: Music, Active Listening, Musical Composition, Instrumental Music, Mindfulness, Self-Awareness, Stress Management, World Music, Mental Health, Mental Concentration, Emotional Intelligence, Resilience, Respiration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    330 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Databases with Python

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, Data Visualization Software, Web Scraping, Data Modeling, Object Oriented Programming (OOP), Data Processing, Geographic Information Systems, Python Programming, Application Programming Interface (API)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    22K reviews

    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
    P

    Packt

    Python Course for Data Analysis - Become Data Analyst

    Skills you'll gain: Scatter Plots, Jupyter, Programming Principles, Histogram

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to statistics for data science

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1…414243…834

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

  • IBM Introduction to Machine Learning: IBM
  • Meta Back-End Developer: Meta
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Data Processing and Exploration with NumPy & Pandas: Packt
  • Geographic Information Systems (GIS): University of California, Davis
  • Applied Social Network Analysis in Python: University of Michigan
  • Music for Wellness: Berklee
  • Using Databases with Python: University of Michigan
  • Mathematics for Machine Learning: PCA: Imperial College London

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