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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
    U

    University of Michigan

    Data Collection and Processing with Python

    Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Data Persistence, Python Programming, Data Transformation, Data Structures, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Modeling in Power BI

    Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Warehousing, Business Intelligence, Data Analysis, Time Series Analysis and Forecasting, Performance Tuning, Data Visualization

    4.3
    Rating, 4.3 out of 5 stars
    ·
    798 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Data Literacy: Exploring and Visualizing Data

    Skills you'll gain: Exploratory Data Analysis, Data Visualization, Data Literacy, Data-Driven Decision-Making, Data Presentation, SAS (Software), Data Storytelling, Trend Analysis, Data Manipulation, Data Analysis, Data Quality, Data Preprocessing, Analysis, Analytics, Interactive Data Visualization, Technical Communication, Data Ethics, Data Visualization Software, Analytical Skills, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to HTML5

    Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content Accessibility Guidelines, Web Design and Development, Usability, Semantic Web, Cascading Style Sheets (CSS), Cloud Hosting, Web Servers, Data Validation, Web Development Tools

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

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

    Microsoft

    Microsoft Big Data Management and Analytics

    Skills you'll gain: Model Deployment, PySpark, Azure Synapse Analytics, Feature Engineering, Data Pipelines, Power BI, Apache Spark, Databases, Microsoft Azure, Extract, Transform, Load, Data Lakes, Databricks, NoSQL, Data Visualization Software, SQL Server Integration Services (SSIS), Cloud Management, Data Governance, Performance Tuning, Big Data, Large Language Modeling

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Cascading Style Sheets (CSS), Unix Commands, HTML and CSS, Git (Version Control System), API Testing, GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Successful Negotiation: Essential Strategies and Skills

    Skills you'll gain: Contract Negotiation, Negotiation, Mediation, Arbitration, Communication, Business Communication, Conflict Management, Cultural Sensitivity, Business Ethics, Decision Making, Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

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

    Packt

    Advanced Data Processing and Analytics with AWS

    Skills you'll gain: AWS Kinesis, Apache Kafka, Amazon Redshift, Data Lakes, Real Time Data, Data Management, Apache Hive, Apache Spark, Amazon S3, Data Pipelines, Data Processing, Big Data, Apache Hadoop, AWS Identity and Access Management (IAM), Query Languages, Serverless Computing, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • 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
    M

    Microsoft

    Modern Data Architecture Fundamentals with Microsoft Fabric

    Skills you'll gain: Data Architecture, Microsoft Azure, Data Lakes, Enterprise Architecture, Data Warehousing, Data Integration, Virtualization, Cloud Storage, Data Transformation, Data Governance, Real Time Data, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Big Data, Statistical Programming, Text Mining, Data Import/Export, Data Analysis, Data Structures, Performance Tuning, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

Searches related to statistics for data science

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1…454647…834

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

  • Data Collection and Processing with Python: University of Michigan
  • Data Modeling in Power BI: Microsoft
  • Data Literacy: Exploring and Visualizing Data: SAS
  • Introduction to HTML5: University of Michigan
  • Microsoft Big Data Management and Analytics: Microsoft
  • Meta Full Stack Developer: Front-End & Back-End from Scratch: Meta
  • Machine Learning with Python: IBM
  • Successful Negotiation: Essential Strategies and Skills: University of Michigan
  • Advanced Data Processing and Analytics with AWS: Packt
  • Developing Data Products: Johns Hopkins University

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