![]() ![]() Here are the list of courses in the Data Science certification program.Ī few sample data set used in the Data Science Case studies include: “Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems”. House of R ress, Second Si pment d Corporate. There are 9 courses in the Data Science program, each runs for about 2-4 weeks and requires 2-4 hours of effort per week per course. ED 297 571 The Word for Teaching Is Learning : Essays for James Britton. DataCamp’s coding technology allows the participants to get hands-on coding practice, which I think is pretty cool. This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. a professor and head of Harvard Stat and world leading Data Scientist/Statistician.Īnother biggest highlight is that, I just found that HarvardX has partnered with DataCamp for working on the assignments. R basics Basic R syntax, data types, vectors arithmetic, indexing, sorting, sorting using dplyr, and plotting using basic packages. Foundational R programming concepts such as data types, vectors arithmetic, and indexing. Section 3: Indexing, Data Manipulation, and Plots You will learn to wrangle, analyze and visualize data. ![]() Section 2: Vectors and Sorting You will learn to operate on vectors and advanced functions such as sorting. One of the real treats is that all the data science courses in this are taught by Raefael Irizarry. COURSE OUTLINE Section 1: R Basics, Functions, and Data Types You will get started with R and learn about R's functions and data types. Admissions Probability/statistics Computer programming in Python at the level of Introduction to Computing in Python Calculus and basic linear algebra. It uses R programming and thus you will also learn data wrangling with dplyr, data visualization with ggplot2, working with files in Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio. Then write a line of code to calculate the speed of each runner in miles per hour. Remember there are 60 minutes in an hour. VEX solutions span all levels of both formal and informal education with accessible, scalable, and affordable. The Data Science certificate program offers a series of courses that covers the basics of Data Science probability, statistical inference, regression, and machine learning. Their distances (in miles) and times (in minutes) are as follows: name <- c ('Mandi', 'Amy', 'Nicole', 'Olivia') distance <- c (0.8, 3.1, 2.8, 4.0) time <- c (10, 30, 40, 50) Write a line of code to convert time to hours. VEX Robotics is educational robotics for everyone. I just came across this really nice Data Science certificate course from Harvard/edX. There are a number of really good ways get started learning Data Science. ![]()
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