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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 California, Irvine

    The Nature of Data and Relational Database Design

    Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, SQL, Descriptive Statistics, Statistics, Statistical Analysis, Business Intelligence, Microsoft Excel, Data Processing, Extract, Transform, Load, Business Analytics, Data Manipulation, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    102 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing Data for Analysis with Microsoft Excel

    Skills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Processing, Data Analysis, Data Manipulation, Data Presentation, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Data Analysis with Spreadsheets and SQL

    Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Statistics, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    283 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    188 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Foundations and Practice

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Data Warehousing, Supervised Learning, Data Pipelines, Data Preprocessing, Classification Algorithms, Data Modeling, Decision Tree Learning, Data Management, Machine Learning Algorithms, Data Cleansing, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Machine Learning, Big Data, Analytical Skills, Data Analysis

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    169 reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IIT Guwahati

    Bachelor of Science in Data Science & AI

    Skills you'll gain: Package and Software Management, Time Series Analysis and Forecasting, Cloud Computing Architecture, Linear Algebra, Data Structures, Data Warehousing, Data Visualization, Model Evaluation, Database Management, Database Theory, Social Network Analysis, Algorithms, Deep Learning, Portfolio Management, Oral Comprehension, Java Programming, C (Programming Language), Matplotlib, Spreadsheet Software, Econometrics

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Tools for Analyze

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Process Analysis, Probability Distribution, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Systems Of Measurement, Data Analysis, Statistical Methods, Probability, Statistics, Risk Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Expressway to Data Science: R Programming and Tidyverse

    Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Software Installation, Programming Principles, Communication

    4.1
    Rating, 4.1 out of 5 stars
    ·
    55 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Database Management, Data Integration, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    125 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Ask Questions to Make Data-Driven Decisions

    Skills you'll gain: Data Literacy, Spreadsheet Software, Stakeholder Communications, Dashboard, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analysis, Expectation Management, Quantitative Research, Problem Solving, Smart Goals

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Data Analysis Using Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Mixed · Course · 1 - 4 Weeks

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1…202122…834

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

  • The Nature of Data and Relational Database Design: University of California, Irvine
  • Preparing Data for Analysis with Microsoft Excel: Microsoft
  • Data Analysis with Spreadsheets and SQL: Meta
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Data Mining Foundations and Practice: University of Colorado Boulder
  • Bachelor of Science in Data Science & AI: IIT Guwahati
  • Six Sigma Tools for Analyze: Kennesaw State University
  • Expressway to Data Science: R Programming and Tidyverse: University of Colorado Boulder
  • Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
  • Introduction to Data Engineering: IBM

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