Tag: functions

R Programming

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This is course 2 of 10 in the Coursera Data Science Specialization. From Coursera: “In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in … Continue Reading

PyBites Code Challenges

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From PyBites: “Hone Your Python Skills in the Browser. Bites of Py are self contained 20-60 min Python (3.6) code challenges you can code and verify in the browser…. By signing in with GitHub you have access to our free tier of 7 introductory Bites. On the 1st of March, 2018 we will be releasing Bytes of Py as a Premium Subscription Service at US $9.99 per month. The subscription gives you … Continue Reading

Working with R (R Fundamentals)

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From Amazon: “Working with R is the first book in the R Fundamentals series. The book introduces you to the core concepts of R and helps you be effective as soon as you start. It is the first in a series of books that will help you use R to achieve awesome things in your data job.” The book includes the following chapters: About R Why use R? Using RStudio … Continue Reading

R for Excel Users

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This post covers the why and how to switch from Excel to R for managing data and undertaking analysis. It covers the following topics: Four Fundamental Differences Between R and Excel Example: Joining two tables together Interation Generalizing through functions “Excel users have a strong mental model of how data analysis works, and this makes learning to program more difficult. However, learning to program will allow you to do things … Continue Reading

Getting Started with tidyverse in R

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From Storybench: “The tidyverse is a collection of R packages developed by RStudio’s chief scientist Hadley Wickham. These packages work well together as part of a larger data analysis pipeline. To learn more about these tools and how they work together, read R for data science…. The following tutorial will introduce some basic functions in tidyverse for structuring and analyzing datasets.”

Codecademy – Learn SQL

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From Codecademy: “In this course, you’ll learn how to communicate with relational databases through SQL. You’ll learn–and practice with 4 projects–how to manipulate data and build queries that communicate with more than one table. Why learn SQL? We live in a data-driven world: people search through data to find insights and inform strategy, marketing, operations, and a plethora of other categories. There are a ton of businesses that use large, … Continue Reading

Fluent Python: Clear, Concise, and Effective Programming

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From Amazon: “Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best–and possibly most neglected–features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. … Continue Reading

Multivariable Calculus

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A list of courses and exercises from the Khan Academy for learning and practicing the following topics in multivariable calculus: Thinking about multivariable functions Derivatives of multivariable functions Applications of multivariable derivatives Integrating multivariable functions Green’s, Stoke’s, and the divergence theorems

Advanced SQL for Data Scientists

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From LinkedIn: “There is an increased need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. If you need to work with SQL databases, this course is designed to help you learn how to perform common data science tasks, including finding, exploration, and extraction within relational databases. The course begins with a brief … Continue Reading

NumPy Cheat Sheet – Python for Data Science

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“It’s common when first learning NumPy to have trouble remembering all the functions and methods that you need, and while at Dataquest we advocate getting used to consulting the NumPy documentation, sometimes it’s nice to have a handy reference, so we’ve put together this cheat sheet to help you out.” This cheat sheet covers the following topics: Key and Imports Importing/Exporting Creating Arrays Inspecting Properties Copying/sorting/reshaping Adding/removing Elements Combining/splitting Indexing/slicing/subsetting Scalar Math … Continue Reading