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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
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Architect

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Load Balancing, Network Planning And Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    62K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Human Resources (HR) Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, AI Personalization, Employee Engagement, Recruitment, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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

    Edureka

    AI-Powered Decision Intelligence

    Skills you'll gain: Responsible AI, Data Storytelling, AI Workflows, Data Presentation, AI Enablement, Predictive Modeling, Decision Support Systems, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining

    Intermediate · Specialization · 1 - 3 Months

  • 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

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

    EDUCBA

    Data Science with Python: Analyze & Visualize

    Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis

    5
    Rating, 5 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Building Data Visualization Tools

    Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Datamaps, Visualization (Computer Graphics), Interactive Data Visualization, Scatter Plots, Histogram, Graphic and Visual Design, R Programming, Geospatial Mapping

    3.9
    Rating, 3.9 out of 5 stars
    ·
    158 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Computer Programming Tools, Applied Mathematics, Computer Graphics, Web Design and Development, Software Development Tools, Cybersecurity, Computational Thinking, Computer Programming, General Mathematics, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Data Visualization with Tableau Project

    Skills you'll gain: Dashboard, Tableau Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Visualization Software, Design Elements And Principles, Exploratory Data Analysis, Proposal Development, Data Analysis, Data Literacy, Data Cleansing, Data Preprocessing, Data Quality, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    584 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    62 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Artificial Neural Networks, Logistic Regression, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Business Analytics

    Skills you'll gain: People Analytics, Descriptive Analytics, Financial Statement Analysis, Business Analytics, Data-Driven Decision-Making, Customer Analysis, Human Capital, Human Resource Strategy, Operations Research, Financial Analysis, Marketing Analytics, Analytics, Operational Efficiency, Predictive Analytics, Customer Insights, Financial Data, Operational Analysis, Peer Review, Human Resources, Financial Accounting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to statistics for data science

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1…484950…834

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

  • Preparing for Google Cloud Certification: Cloud Architect: Google Cloud
  • Generative AI for Human Resources (HR) Professionals: IBM
  • AI-Powered Decision Intelligence: Edureka
  • Developing Data Products: Johns Hopkins University
  • Data Science with Python: Analyze & Visualize: EDUCBA
  • Building Data Visualization Tools: Johns Hopkins University
  • Introduction to Computer Science and Programming: University of London
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Data Visualization with Tableau Project: University of California, Davis
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University

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