Harvard University
Data Science: R Basics
4.4273 ratingsBuild a foundation in R and learn how to wrangle, analyze, and visualize data.
- edX
- 8 weeks, 2 - 3 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
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Real World Data courses 74
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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CS50's Introduction to Programming with R
An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains. Learn to use RStudio, a popular integrated development environment (IDE). Learn to represent real-world data with vectors, matrices, arrays, lists,…
Video playlist
- YouTube
- 8 videos, 9 hours
- Self-paced
- Free video
Harvard University
CS50's Introduction to Programming with R
An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains.
- edX
- 7 weeks, 6 - 16 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
IBM
Python for Data Engineering Project
4.716 ratingsMaster essential data engineering skills in this module by collecting data using APIs and web scraping, extracting data from various file formats, and transforming it for analysis. Log data operations, share your Jupyter Notebook in Watson Studio, and engage in peer reviews.
- edX
- 1 weeks, 3 - 4 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
MIT OpenCourseWare
How to AI (Almost) Anything
Artificial Intelligence (AI) holds great promise as a technology to enhance digital productivity, physical interactions, overall well-being, and the human experience. To enable the true impact of AI, these systems will need to be grounded in real-world data modalities, from language-only systems to…
- MIT
- Self-paced
- Free course
- Advanced
IBM
Data Science and Machine Learning Capstone Project
4.4137 ratingsCreate a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.
- edX
- 6 weeks, 3 - 6 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
Harvard University
MalariaX: Defeating Malaria from the Genes to the Globe
4.822 ratingsHow can we eradicate malaria? Explore cutting-edge science and technology, and examine policies needed to control and eliminate malaria.
- edX
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
Rice University
Discrete Time Signals and Systems
Enter the world of signal processing: analyze and extract meaning from the signals around us!
- edX
- 8 weeks, 6 - 8 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Advanced
University of California, Santa Cruz
Bayesian Statistics: Techniques and Models
4.8497 ratingsThis is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated mod…
- Coursera
- 5 weeks of study, 4-6 hours/week.
- Self-paced
- Paid · free trial
- Paid certificate
Complete Numpy course in Hindi | Chai aur Numpy
Source code: https://github.com/hiteshchoudhary/Chai-aur-numpy 00:00 Introduction to the series 03:12 Prerequisite for the series 12:34 Phase 1 - Numpy Foundation, creation of array and methods 46:42 Phase 2 - Operations on numpy array 01:27:22 Phase 3 Phase 3 - Practice with real world data 02:06:…
Free video
- YouTube
- 2.5 hours
- Self-paced
- Free video
Python for Data Science Course – Hands-on Projects with EDA, AB Testing & Business Intelligence
This comprehensive Python data science course covers the essential through theory, demos, and real-world applications. With two detailed projects, this course is designed to provide practical experience that will prepare you for real world data science. You will gain hands-on knowledge in data anal…
Free video
- YouTube
- 5.5 hours
- Self-paced
- Free video
École Polytechnique Fédérale de Lausanne
Functional Programming in Scala Capstone
4.4547 ratingsIn the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of tempera…
- Coursera
- 6 weeks, 4-5 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
University of California, Berkeley
Recursion & Object-Oriented Programming
Students learn to design efficient programs by analyzing runtime, implementing data structures like linked lists and trees, and working with databases using SQL and Python. The course bridges computer science concepts with practical data organization and retrieval.
- edX
- 8 weeks, 5 - 10 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
University of California, Berkeley
Data Exploration
In this course, students will learn how to explore, visualize, and summarize data with Python to uncover insights for business decision-making. Real-world case studies will help learners practice probability, averages, and simulations across industries.
- edX
- 4 weeks, 4 - 8 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
IBM
Data Engineering Capstone Project
4.36 ratingsThis Capstone Project is designed for you to apply and demonstrate your Data Engineering skills and knowledge in SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools and Big Data.
- edX
- 6 weeks, 3 - 4 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
IBM
R Data Science Capstone Project
Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.
- edX
- 4 weeks, 2 - 3 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
Duke University
Data Tidying and Importing with R
5.016 ratingsBuild confidence working with messy, real-world data. In this course, you’ll learn how to import, clean, and organize data in R so that it’s ready for analysis, visualization, or modeling. Using dplyr, tidyr, and other Tidyverse tools, you’ll practice joining datasets, reshaping data, and creating…
- Coursera
- 3 weeks of study, 2-4 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
IBM
Python Project for Data Science
4.54,926 ratingsThis mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired s…
- Coursera
- 7.5 hours
- Self-paced
- Paid · free trial
- Paid certificate
DeepLearning.AI
Data I/O and Preprocessing with Python and SQL
4.523 ratingsMost real-world data isn’t clean, it’s messy, incomplete, and spread across sources like websites, APIs, and databases. In this course, you’ll learn how to collect that data, clean it, and prepare it for analysis using Python and SQL. You’ll start by extracting data from webpages using tools like P…
- Coursera
- 25 hours
- Self-paced
- Paid · free trial
- Paid certificate
IBM
Machine Learning: Classification
This course covers key supervised machine learning (ML) and classification techniques, including logistic regression, decision trees, ensemble methods, and handling unbalanced datasets. Build and evaluate classification models using real-world data.
- edX
- 2 weeks, 23 - 27 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Intermediate