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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
    Free
    U

    Utrecht University

    Inequality and Democracy

    Skills you'll gain: Lobbying, Political Sciences, Socioeconomics, Tax Laws, Social Sciences, Economics, Commercial Laws, Policy Analysis, Governance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    55 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Privacy Law and Data Protection

    Skills you'll gain: Health Insurance Portability And Accountability Act (HIPAA) Compliance, General Data Protection Regulation (GDPR), Medical Privacy, Information Privacy, Personally Identifiable Information, Regulatory Compliance, Data Security, Data Management, Data Sharing, Incident Response, Governance, Risk Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    834 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Data Fundamentals DP-900 Exam Prep

    Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Database Administration, Data Warehousing, Database Systems, Databases, Cloud Services, Data Architecture, NoSQL, Relational Databases, MySQL, Data Store, SQL, Database Management, Data Storage, Data Lakes, Cloud Storage

    4.6
    Rating, 4.6 out of 5 stars
    ·
    883 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Advanced Data Modeling

    Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Database Management, Databases, Relational Databases, Database Architecture and Administration, Advanced Analytics, Data Analysis, Data Visualization Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    105 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI for Cybersecurity Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Anomaly Detection, Deep Learning, Vulnerability Management, Artificial Intelligence, Incident Management

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    S

    S.P. Jain Institute of Management and Research

    Data Analysis

    Skills you'll gain: Descriptive Statistics, Data Analysis, Analytics, Quantitative Research, Sampling (Statistics), Probability & Statistics, Business Analytics, Statistical Analysis, Regression Analysis, Data-Driven Decision-Making, Statistical Hypothesis Testing, Business Analysis, Microsoft Excel, Variance Analysis, Statistical Inference

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    471 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Python to Access Web Data

    Skills you'll gain: Web Scraping, Restful API, Web Services, JSON, Extensible Markup Language (XML), Network Protocols, Application Programming Interface (API), Data Processing, Hypertext Markup Language (HTML), Python Programming, Data Manipulation, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    45K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistics for Genomic Data Science

    Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression

    4.2
    Rating, 4.2 out of 5 stars
    ·
    378 reviews

    Mixed · Course · 1 - 4 Weeks

Searches related to statistics for data science

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1…202122…834

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

  • Inequality and Democracy: Utrecht University
  • Algorithms: Stanford University
  • Privacy Law and Data Protection: University of Pennsylvania
  • Meta Database Engineer: Meta
  • Microsoft Azure Data Fundamentals DP-900 Exam Prep: Microsoft
  • Advanced Data Modeling: Meta
  • IBM Generative AI for Cybersecurity Professionals: IBM
  • Data Analysis: S.P. Jain Institute of Management and Research
  • Introduction to Big Data with Spark and Hadoop: IBM
  • Using Python to Access Web Data: University of Michigan

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