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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
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    MCP - Model Content Protocol

    Skills you'll gain: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Mining and Analytics

    Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Unsupervised Learning, Probability & Statistics, Logistic Regression, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    737 reviews

    Mixed · Course · 1 - 3 Months

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

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

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

    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Measure ML Impact & Business Value

    Skills you'll gain: Experimentation, Business Metrics, Data Storytelling, Return On Investment, Model Evaluation, Dashboard, Performance Measurement, Business Valuation, Key Performance Indicators (KPIs), A/B Testing, Performance Analysis, Analysis, Product Management, Machine Learning, Financial Analysis, Business, Stakeholder Communications, Sample Size Determination, Power Electronics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Command Line Tools for Genomic Data Science

    Skills you'll gain: Unix Commands, Bioinformatics, Unix, Data Management, Command-Line Interface, Linux Commands, Molecular Biology, Big Data, File Management, Data Analysis Software, Data Processing

    4
    Rating, 4 out of 5 stars
    ·
    570 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for UI UX Design

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Software, AI Workflows, User Interface (UI) Design, Brainstorming, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, User Story, Wireframing, Deep Learning, Ideation

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

    Beginner · Specialization · 1 - 3 Months

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

    Packt

    AI & LLM Engineering Mastery - GenAI, RAG Complete Guide

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, AI Workflows, Generative Model Architectures, Model Deployment, Hugging Face, Programming Principles, Computer Programming, Transfer Learning, Application Deployment, Context Management, Embeddings, User Interface (UI), Model Evaluation, Vector Databases, Debugging, Software Installation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science with R - Capstone Project

    Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, R Programming, Statistical Modeling, Regression Analysis, Ggplot2, Data Visualization, Data Transformation, Predictive Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    105 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
    ·
    891 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…676869…834

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

  • Optimize AI Inference Speed & Accuracy: Coursera
  • MCP - Model Content Protocol: Coursera
  • Text Mining and Analytics: University of Illinois Urbana-Champaign
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Managing Machine Learning Models: SAS
  • Measure ML Impact & Business Value: Coursera
  • Java Programming and Software Engineering Fundamentals: Duke University
  • Command Line Tools for Genomic Data Science: Johns Hopkins University
  • Generative AI for UI UX Design: IBM
  • AI & LLM Engineering Mastery - GenAI, RAG Complete Guide: Packt

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