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Real World Data courses 78

Learn Real World Data online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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IBM

SQL aplicado en la ciencia de datos

Aprende a usar y aplicar el poderoso lenguaje de SQL para comunicar y extraer mejor los datos de las bases de datos, algo imprescindible para cualquiera que trabaje en el campo de la ciencia de datos.

  • edX
  • 4 weeks, 3 - 5 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Adelaide University

Programming for Data Science

4.36 ratings

Learn how to apply fundamental programming for data science concepts, computational thinking and data analysis techniques to solve real-world data science problems.

  • edX
  • 10 weeks, 7 - 9 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

freeCodeCamp

Web Scraping with Python & JavaScript – MERN Stack Full Course

Learn to build robust web scrapers that can defeat modern anti-bot systems. In this 5.5-hour full-stack course, you will transition from basic Python scripting to deploying a full MERN dashboard that scrapes and visualizes real-world data from Amazon, Booking.com, Indeed, and the TIOBE Index. By th…

Free video
  • YouTube
  • 5.5 hours
  • Self-paced
  • Free video

University of Michigan

Data Mining in Python

4.614 ratings

In “Data Mining in Python,” you will learn how to extract useful knowledge from large-scale datasets. This course introduces basic concepts and general tasks for data mining. You will explore a wide range of real-world data sets, including grocery store, restaurant reviews, business operations, soc…

  • Coursera
  • 5 hours per week for 4 weeks
  • Self-paced
  • Paid certificate

Wesleyan University

Data Analysis and Interpretation Capstone

4.848 ratings

The Capstone project will allow you to continue to apply and refine the data analytic techniques learned from the previous courses in the Specialization to address an important issue in society. You will use real world data to complete a project with our industry and academic partners. For example,…

  • Coursera
  • 8.5 hours
  • Self-paced
  • Paid certificate

IBM

Ciencia de datos y aprendizaje automático - Curso Capstone

Crea un proyecto que puedas usar para mostrar tus habilidades de ciencia de datos a posibles empleadores. Aplica varias técnicas de ciencia de datos y aprendizaje automático para analizar y visualizar un conjunto de datos que use un escenario empresarial de la vida real y construye un modelo predic…

  • edX
  • 6 weeks, 3 - 5 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

MathWorks

Detecting Anomalies with Machine Learning

Advance your career with AI-driven engineering solutions. Gain practical skills to detect anomalies early and ensure system performance.

  • edX
  • 4 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Adelaide University

Big Data Capstone Project

Further develop your knowledge of big data by applying the skills you have learned to real-world data science projects.

  • edX
  • 6 weeks, 7 - 9 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Advanced

Alison

Game Development Using Unity 3D and Mapbox

3.313 ratings

This course is a complete guide to developing games in Unity 3D using real-world data from Mapbox, a map service, and API that provides developers with access to detailed location data and allows them to embed styled maps into games. This self-paced course begins with a brief overview of Mapbox, af…

  • Alison
  • 5 hours
  • Self-paced
  • Free course
  • Paid certificate
  • Advanced

University of California, Santa Cruz

Bayesian Statistics: Capstone Project

4.510 ratings

This is the capstone project for UC Santa Cruz's Bayesian Statistics Specialization. It is an opportunity for you to demonstrate a wide range of skills and knowledge in Bayesian statistics and to apply what you know to real-world data. You will review essential concepts in Bayesian statistics with…

  • Coursera
  • 12 hours
  • Self-paced
  • Paid certificate

University of London

Doing Economics: Measuring Climate Change

4.653 ratings

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to pro…

  • Coursera
  • 4 weeks of study, 3-4 hours/week
  • Self-paced
  • Paid certificate

Pragmatic AI Labs

Linux and Bash for Data Engineering

4.65 ratings

Master Linux and Bash essentials for data engineering. Learn to manipulate data, build pipelines, and automate tasks using shell scripting and powerful Linux tools.

  • edX
  • 4 weeks, 3 - 6 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Johns Hopkins University

Pillar #3: Drug Effectiveness - Real-World Evidence

4.616 ratings

This course addresses the key principles of research aimed at assessing the effectiveness and safety of pharmaceuticals. We begin by exploring the role of effectiveness research and stakeholders who need this evidence and explore the common observational designs that are used with real world data t…

  • Coursera
  • 6.5 hours
  • Self-paced
  • Paid certificate

University of Colorado Boulder

Data Mining Project

4.433 ratings

Data Mining Project offers step-by-step guidance and hands-on experience of designing and implementing a real-world data mining project, including problem formulation, literature survey, proposed work, evaluation, discussion and future work. This course can be taken for academic credit as part of C…

  • Coursera
  • about ten hours a week for four weeks
  • Self-paced
  • Paid certificate

Pragmatic AI Labs

Rust Data Engineering

Use Rust's power for high-performance, concurrent data pipelines - from core principles to real-world deployments.

  • edX
  • 4 weeks, 3 - 6 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

University of California, Davis

SQL Problem Solving

4.028 ratings

SQL for Problem Solving is designed for learners who already understand the basics of SQL and are ready to apply their skills to real-world data problems. In this hands-on course, you’ll move beyond textbook queries to tackle the challenges data analysts face every day. From diagnosing data quality…

  • Coursera
  • 4 weeks of study, 2-5 hours/week
  • Self-paced
  • Paid certificate

University of Colorado Boulder

Introduction to Bayesian Statistics for Data Science

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data science problems. Topics include the use and interpretations of probability theory in Bayesian inference…

  • Coursera
  • 38 hours
  • Self-paced
  • Paid certificate

Dartmouth College

Foundations of Epidemiology of Medical Care

Learners in this online course will explore how medical care epidemiology identifies, explains, and addresses variations in healthcare delivery, outcomes, and system performance using population-based data, statistical tools, and real-world case studies to promote transparency, accountability, and…

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Dartmouth College

Medical Care Epidemiology: Patterns, Performance, and Variation

This course introduces learners to medical care epidemiology, focusing on health care variation, study design, system performance, and the implications of provider capacity. Through real-world data and case studies, students will explore causes, consequences, and remedies for variation in medical c…

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Northeastern University

Foundations for Data Analytics Part 1

This course offers students an opportunity to learn fundamentals of computation required to understand and analyze real world data. The course helps students to work with modern data structures, apply data cleaning and data wrangling operations. The course covers conceptual and practical applicatio…

  • Coursera
  • 7 weeks, 2-5 hours/week
  • Self-paced
  • Paid certificate

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