Data Wrangling Courses and Certifications

Introduction to the Tidyverse

126 ratings at DataCamp

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Python Toolbox

109 ratings at DataCamp

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Social Network Analysis

5 reviews

Explore social network structures, dynamics, and analysis techniques. Learn to visualize and predict network evolution using computational methods and software tools.

• Coursera
• 10 hours 10 minutes
• On-Demand
• Paid Course

Introduction to NumPy

62 ratings at DataCamp

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Introduction to Text Analysis in R

22 ratings at DataCamp

Learn to analyze text data using R's tidy framework. Covers wrangling, visualization, sentiment analysis, and topic modeling techniques for extracting insights from various text sources like social media and product reviews.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Reshaping Data with tidyr

24 ratings at DataCamp

Transform almost any dataset into a tidy format to make analysis easier.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Data Manipulation in Python

Take the pain out of data manipulation using pandas. You’ll learn how to transform, sort, and filter data in DataFrames, ready for quick analysis.

• DataCamp
• 16 hours
• On-Demand
• Free Trial Available

Importing & Cleaning Data in Python

Gain the real-world data prepping skills you need to reveal the insights that matter! Discover how to import, clean, and work with APIs and web data.

• DataCamp
• 13 hours
• On-Demand
• Free Trial Available

Feature Engineering with PySpark

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Importing & Cleaning Data in R

Gain the real-world skills you need to import and clean your data when working in R—making it possible for you to reveal the insights that matter.

• DataCamp
• 14 hours
• On-Demand
• Free Trial Available

Data Manipulation in R

Take the pain out of data manipulation using dplyr and tidyr. Learn how to transform, sort, and filter your data, ready for quick analysis.

• DataCamp
• 16 hours
• On-Demand
• Free Trial Available

Analyzing Election and Polling Data in R

Learn R for data science by wrangling, visualizing, and modeling political data like polls and election results.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Intermediate Interactive Data Visualization with plotly in R

Learn to create animated graphics and linked views entirely in R with plotly.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

R For SAS Users

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Tidyverse Fundamentals in R

Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.

• DataCamp
• 20 hours
• On-Demand
• Free Trial Available