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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    Y

    Yonsei University

    Emerging Technologies: From Smartphones to IoT to Big Data

    Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Internet Of Things, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Local Area Networks, Multimedia, Emerging Technologies, Apple iOS, Market Analysis, Display Devices, Product Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    352 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Android Developer

    Skills you'll gain: React Native, Android Studio, Restful API, Version Control, User Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface (UI), Mobile Development, Javascript

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience Design, User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Software Versioning, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, JavaScript Frameworks, User Interface and User Experience (UI/UX) Design, Javascript, Web Applications, Event-Driven Programming, Unit Testing, Application Programming Interface (API)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    Universitat Politècnica de València

    Introducción a R para ciencia de datos

    Skills you'll gain: R Programming, Ggplot2, Statistical Analysis, R (Software), Predictive Modeling, Data Manipulation, Data Preprocessing, Statistical Programming, Data Visualization Software, Data Science, Data Import/Export, Machine Learning, Model Evaluation, Exploratory Data Analysis, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Successful Presentation

    Skills you'll gain: Public Speaking, Presentations, Verbal Communication Skills, Storytelling, Drive Engagement, Communication, Persuasive Communication, Non-Verbal Communication, Business Writing, Composure, Adaptability, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google IT Automation with Python

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Infrastructure as Code (IaC), Debugging, Bash (Scripting Language), Test Automation, Puppet (Configuration Management Tool), Infrastructure As A Service (IaaS), Cloud Services, Technical Communication, Web Services, Email Automation, Automation, Python Programming, Interviewing Skills, Applicant Tracking Systems, Configuration Management, Program Development, Programming Principles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Meta

    Meta Marketing Analytics

    Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Data Visualization, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Analysis, Data Visualization Software, A/B Testing, Data Collection, Marketing, Interviewing Skills

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Data Ethics, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Machine Learning, Context Management

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Object Oriented Java Programming: Data Structures and Beyond

    Skills you'll gain: Unit Testing, Growth Mindedness, Data Structures, Graph Theory, Event-Driven Programming, Social Network Analysis, Interactive Data Visualization, Java, Java Programming, Network Analysis, Object Oriented Programming (OOP), Technical Communication, User Interface (UI), JUnit, Object Oriented Design, Computer Programming, Adaptability, Performance Tuning, Algorithms, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Real-world End to End Machine Learning Ops on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

1…717273…834

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

  • Emerging Technologies: From Smartphones to IoT to Big Data: Yonsei University
  • IBM AI Enterprise Workflow: IBM
  • Meta Android Developer: Meta
  • Meta Front-End Developer: Meta
  • Introducción a R para ciencia de datos: Universitat Politècnica de València
  • Successful Presentation: University of Colorado Boulder
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Google IT Automation with Python: Google
  • Meta Marketing Analytics: Meta
  • Generative AI for Data Engineers: IBM

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