@ShelSSingh @rafalab Check out the message boards - there are a decent number of threads on there related to question 5c on the esophageal cancer problem set. If you post your question and code on the board, I can give you more detailed help!
@donnamrobert@rafalab We don't plan to add these updates yet - early in the book we show how to install packages and assume that you can add anything missing with `install.packages` after that. May add in the future. You can follow along in the book's R markdown documents too! https://t.co/JKRvoHWm1Q
Today's featured course: Inference and Modeling! Learn about p-values and confidence intervals, and how to apply Bayes' theorem to find missing airplanes and predict poll results! Course 4 in our Data Science Professional Certificate. https://t.co/9CRwjFn5GU
Using the discussion boards in our courses? You can include formatted code in your posts! Surround your code in `backticks` or highlight it and press the Code Format button in the toolbar (looks like 101 010). Help us help you by making questions more legible!
Calling data science "AI" is like calling a crane or drill a "construction robot"
Tools might make it possible for us to do remarkable, previously-impossible things, but they're still tools
Not sure you want to take the plunge into data science yet? You can audit our courses for free! That includes 8 weeks of access and all original exercises, plus most of the new extra practice. Upgrade at any time for full access and verified certificates! https://t.co/9CRwjFn5GU
@JonTheGeek @R4DScommunity Unclear yet - we just launched a run last week and are still debugging that. We have just added dozens of exercises to the series, including several problem sets that don't use DataCamp in the first 4 courses.
@JonTheGeek @R4DScommunity If the "problematic platform" is DataCamp, then that is currently true but we plan to be moving away from it for our next course run in 2020 for reasons with which you are probably familiar. It will take us time to replace the exercises though.
Interested in our Machine Learning course? Don't be fooled into jumping into that first - that is the eighth course in our Data Science Professional Certificate program and the first seven courses are prerequisites. https://t.co/9CRwjFn5GU
@tamannashahs They cover different material. This has a general focus rather than a business focus. Having said that, the HBSO course is much more expensive and my understanding is that it does not have an audit option.
Want to start working on #DataScience but have no programming background? No problem! Start with our R basics course from #HarvardX. https://t.co/LvOqHFcIRg
@SuhaibFaridi@rafalab@biochemnerd Yes! The new iteration of the courses, which started this week, includes problems using all of these datasets. https://t.co/9CRwjFn5GU
We updated the dslabs package with seven new datasets related to climate change, astronomy, life expectancy, and breast cancer diagnosis. This R markdown blog post, written by @biochemnerd, describes the new datasets and how they can be used for teaching:
https://t.co/LoTT9l8BIA
Starting on our #HarvardX courses and having trouble loading libraries? You need to install them first with:
install.packages("dslabs")
Substitute your package of interest for "dslabs"!
Looking for capstone data analysis and machine learning project ideas? Check out #TidyTuesday datasets! (But of course, only submit your own work.) https://t.co/0G00LhKsEl
Just joining our #HarvardX courses? There's a PDF version of the Introduction to Data Science textbook by @rafalab on Leanpub! You pay what you can afford - it's free if you slide the "YOU PAY" marker to $0! #rstats#DataScience https://t.co/AHGIXA9uCm
The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. https://t.co/jgt9XzORDn