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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


  • V

    Vanderbilt University

    Data Management for Clinical Research

    Skills you'll gain: Clinical Data Management, Electronic Data Capture (EDC), Data Management, Data Collection, Case Report Forms, Data Sharing, Health Informatics, Data Strategy, Data Quality, Good Clinical Practices (GCP), Sampling (Statistics), Data Integrity, Data Validation, Regulatory Compliance

    ★ 4.7 (1.9K) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Statistics and Applied Data Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis

    ★ 4.6 (46) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM Data Architecture

    Skills you'll gain: Data Warehousing, SQL, Apache Hadoop, Database Design, Data Security, Linux Commands, Data Migration, Data Governance, Apache Spark, Bash (Scripting Language), Extract, Transform, Load, Shell Script, IBM DB2, Cloud Storage, Data Architecture, Data Management, Data Integration, Relational Databases, File Management, Database Management

    ★ 4.6 (7.5K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Dataflow, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Infrastructure, Tensorflow, Data Warehousing

    ★ 4.6 (4.9K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Introduction to Data Analytics for Business

    Skills you'll gain: Data Governance, Data Management, Business Analytics, Analytics, Data Quality, Data Ethics, Data Analysis, Business Intelligence, Big Data, Organizational Structure, Data-Driven Decision-Making, Data Access, Relational Databases, SQL, Data Storage, Cloud Computing

    ★ 4.7 (3.2K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California, Irvine

    Data Science Fundamentals

    Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Model Evaluation, Unsupervised Learning, Natural Language Processing, Analysis, Predictive Analytics, Regression Analysis, Data Mining, Data Strategy, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Supervised Learning, Cloud Computing

    ★ 4.3 (263) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California, Davis

    Materials Science: 10 Things Every Engineer Should Know

    Skills you'll gain: Materials science, Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Structural Analysis, Electrical Engineering, Chemical Engineering, Thermal Management, Electronic Components, Electronics Engineering

    ★ 4.7 (4.5K) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • M

    Meta

    Meta Data Analyst

    Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming

    ★ 4.7 (1.8K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: AI skills
    AI skills
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Data Science as a Field

    Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, Applied Mathematics, Statistics, Computer Science

    ★ 4.3 (39) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 1

    Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Scatter Plots, Microsoft Excel, Excel Formulas, Data Analysis, Bayesian Statistics

    ★ 4.5 (39) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Introduction to Data Engineering

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

    ★ 4.7 (3.6K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California San Diego

    Data Structures

    Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Computer Programming, C++ (Programming Language), Java Programming, Java, File Management

    ★ 4.6 (5.6K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…101112…834

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

  • Data Management for Clinical Research: Vanderbilt University
  • Statistics and Applied Data Analysis: University of Colorado Boulder
  • IBM Data Architecture: IBM
  • Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
  • Introduction to Data Analytics for Business: University of Colorado Boulder
  • Data Science Fundamentals: University of California, Irvine
  • Materials Science: 10 Things Every Engineer Should Know: University of California, Davis
  • Meta Data Analyst: Meta
  • Data Science as a Field: University of Colorado Boulder
  • Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder

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