Data Science: Foundations using R
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data. The five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة
- الطبع بواسطة Johns Hopkins University
-
Offered by
عن
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data. The five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.Auto Summary
Embark on a foundational journey in data science with Coursera's "Data Science: Foundations using R." Focused on IT & Computer Science, this specialization teaches key skills such as data manipulation, visualization, and reproducible research using R. Comprising five courses, it's ideal for beginners aiming to build a solid base before advancing to Data Science: Statistics and Machine Learning. Available through Starter and Professional subscriptions, this course is perfect for aspiring data scientists eager to master the essentials.
Jeff Leek, PhD
Roger D. Peng, PhD
Brian Caffo, PhD