Pandas Joins for Spreadsheet Users
|
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Joining two or more datasets is necessary for almost any real-world analysis. You’ve done it before with spreadsheets using VLOOKUP and related functions. Can you build on this experience as you transition to the world of Python? Yes! In this course you will learn the ins and outs of bringing datasets together with pandas, Python’s gold standard for manipulating tabular data. You’ll apply pandas functions to combine data from the National Football League (NFL) framed in a familiar spreadsheet environment. Armed with these skills you will be able to harness the power of pandas and integrate larger, more complex datasets into any analysis.
User Reviews
Be the first to review “Pandas Joins for Spreadsheet Users”
Related Products
Reshaping Data with tidyr
Transform almost any dataset into a tidy format to make analysis easier.
Data Manipulation with Alteryx
This course will introduce you to common functions in Alteryx that will help you to manipulate your data to enhance its effectiveness for further analysis.
Cleansing Data in Excel
This course will teach you how to recognize dirty data, minimize its occurrence, and cleanse your data in Excel, working more efficiently, reducing errors, and minimizing cleansing time.
Recording and Managing Excel 2016 Macros
In this course, Recording and Managing Excel 2016 Macros, we will learn how to develop and edit macros in Excel, which will help us automate a whole host of tedious and time-consuming tasks.
Data Manipulation in Julia
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
Data Manipulation with data.table in R
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
There are no reviews yet.