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  • Statistics For Data Science

Results for "statistics for data science"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Data, Privacy and AI Security

    Skills you'll gain: AI Security, Information Privacy, Personally Identifiable Information, Data Security, Threat Modeling, Vulnerability Assessments, Responsible AI, Data Governance, Data Management, Cyber Security Strategy, Data Integrity, Data Loss Prevention, Cloud Security, Cybersecurity, Security Awareness, Artificial Intelligence and Machine Learning (AI/ML), Security Management, Security Controls, Cyber Operations, Data Science

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to Systematic Review and Meta-Analysis

    Skills you'll gain: Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Mixed · Course · 1 - 3 Months

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

    Coursera

    Uncover Product Insights: Analyze User Funnels

    Skills you'll gain: Web Analytics, Customer Analysis, Customer Insights, Analytics, Business Analytics, Usability Testing, Analysis, Root Cause Analysis, User Flows, Performance Analysis, Data Presentation, Data Storytelling, Performance Metric, Consumer Behaviour, Key Performance Indicators (KPIs), Event Monitoring, Data Capture, Taxonomy, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Fundamentos de probabilidad y aplicaciones

    Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Probability & Statistics, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

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

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Benchmark & Optimize LLM App Performance

    Skills you'll gain: LLM Application, Prompt Engineering, Performance Tuning, Performance Testing, Tool Calling, Responsible AI, A/B Testing, Application Performance Management, Retrieval-Augmented Generation, Model Evaluation, OpenAI API, Scalability, API Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    JetBrains

    Kotlin for Java Developers

    Skills you'll gain: Kotlin, Object Oriented Programming (OOP), Java, Java Programming, Spring Framework, Android Development, IntelliJ IDEA, Functional Design, Interoperability, Unit Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    E

    EDUCBA

    Mastering Apache Solr: Index, Search & Analyze Content

    Skills you'll gain: Information Architecture, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Data Literacy in Practice

    Skills you'll gain: Exploratory Data Analysis, Data Visualization, Data Literacy, Data Presentation, Data Storytelling, Data Analysis, Data Cleansing, Data Preprocessing, Technical Communication

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to statistics for data science

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1…170171172…834

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

  • Feature Engineering: Google Cloud
  • Cyber Security: Data, Privacy and AI Security: Macquarie University
  • Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
  • Uncover Product Insights: Analyze User Funnels: Coursera
  • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Benchmark & Optimize LLM App Performance: Coursera
  • Kotlin for Java Developers: JetBrains
  • Mastering Apache Solr: Index, Search & Analyze Content: EDUCBA

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