Reshaping Data with pandas in Python
Pandas DataFrames are commonly used in Python for data analysis, with observations containing values or variables related to a single object and variables representing attributes across all observations.
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Working with Pivot Tables in Excel
Learn how to organize rows and columns, add values, find the sum of a value, and apply filtering to select a subset of a given dataset. We’ll learn how to apply this in Excel with a retail dataset example.
How to Create a Data Analyst Resume
In this article, we'll discuss how to create a data analyst resume that will get you hired.
Data-Driven Thinking for Everyday Life
Gary Wolf talks about what The Quantified Self is, why self-tracking projects can be life-changing, how to get started with self-tracking, and how to connect with others.
Reshaping Data with tidyr in R
In this cheat sheet, you will learn how to reshape data with tidyr. From separating and combining columns, to dealing with missing data, you'll get the download on how to manipulate data in R.
Data Quality Dimensions Cheat Sheet
In this cheat sheet, you'll learn about data quality dimensions, allowing you to ensure that your data is fit for purpose.
Top Techniques to Handle Missing Values Every Data Scientist Should Know
Explore various techniques to efficiently handle missing values and their implementations in Python.