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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
    P

    Packt

    Data Engineering on AWS - The Complete Training

    Skills you'll gain: AWS Kinesis, Data Engineering, Amazon Redshift, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Apache Hive, Data Visualization Software, Cloud Storage, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, Database Architecture and Administration, AWS Identity and Access Management (IAM)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Data Analytics

    Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping

    4.1
    Rating, 4.1 out of 5 stars
    ·
    23 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Electrones en Acción: Electrónica y Arduinos para tus propios Inventos

    Skills you'll gain: Basic Electrical Systems, Electronics, Electronic Systems, Electrical Engineering, Electronic Components, Wiring Diagram, Control Systems, Hardware Design, Embedded Systems, Programming Principles, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.6K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Virtualization, Docker, and Kubernetes for Data Engineering

    Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Cloud Deployment, Devops Tools, Microservices, Application Deployment, Virtual Machines, Cloud Development, Database Management, Cloud-Based Integration, Scalability

    3.8
    Rating, 3.8 out of 5 stars
    ·
    43 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google UX Design (PT)

    Skills you'll gain: Adobe XD, User Experience Design, Usability Testing, Figma (Design Software), Responsive Web Design, Wireframing, Information Architecture, User Experience, Prototyping, UI/UX Research, Presentations, Design Reviews, User Interface and User Experience (UI/UX) Design, User Story, Storyboarding, Ideation, Mockups, Software Documentation, User Research, User Centered Design

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    California Institute of the Arts

    Introduction to Typography

    Skills you'll gain: Typography, Graphic Design, Graphic and Visual Design, Adobe InDesign, Design, Art History, Design Elements And Principles, Adobe Illustrator, Peer Review, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

    Microsoft

    Microsoft Cybersecurity Analyst

    Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Penetration Testing, Azure Active Directory, Network Security, Computer Systems, Security Information and Event Management (SIEM), Security Testing, Encryption, Cybersecurity, System Testing, Cloud Security, Vulnerability Scanning, Threat Management, Cloud Computing, Authentications, Active Directory, Operating Systems, Data Management, Computer Security Incident Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    102 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    463 reviews

    Beginner · Specialization · 3 - 6 Months

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1…175176177…834

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

  • Data Engineering on AWS - The Complete Training: Packt
  • Applied Data Analytics: Edureka
  • Electrones en Acción: Electrónica y Arduinos para tus propios Inventos: Pontificia Universidad Católica de Chile
  • Virtualization, Docker, and Kubernetes for Data Engineering: Duke University
  • Google UX Design (PT): Google
  • Introduction to Typography: California Institute of the Arts
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Microsoft Cybersecurity Analyst: Microsoft
  • More Applied Data Science with Python: University of Michigan
  • Developing Machine Learning Solutions: Amazon Web Services

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