Data Wrangling Courses and Certifications

Learn Data Wrangling with Python

56 ratings at Udemy

Perform Data Wrangling with the Python Programming Language. Practice and Solution Notebooks included.

• Udemy
• 1-2 hours
• On-Demand
• Free Online Course

Data Wrangling in R

80 ratings at LinkedIn Learning

Learn about the principles of tidy data and discover how to import, transform, clean, and wrangle data using the R programming language.

• LinkedIn Learning
• 2-3 hours
• On-Demand
• Free Trial Available

Alan Turing Institute

Does Campaigning on Social Media Make a Difference? Evidence from Candidate Use of Twitter

Explore the impact of social media campaigning on elections using data science. Analyze Twitter usage by candidates, voter engagement, and campaign strategies to understand modern political landscapes.

• YouTube
• 24 minutes
• On-Demand
• Free Online Course

NahamSec

Command-Line Data-Wrangling for Security Professionals

Mastering command-line tools for efficient data manipulation in offensive security. Learn sorting, regex, grep, find, and JSON processing to enhance your hacking capabilities.

• YouTube
• 47 minutes
• On-Demand
• Free Online Course

Advanced Data Wrangling

Data wrangling is a set of processes for turning raw and messy data into a clean format to answer interesting questions from the data. In this course, you will learn the three phases of data wrangling: gathering, assessing, and cleaning data.

• Udacity
• 3 weeks, 4-5 hours a week
• On-Demand
• Paid Course

Visual Studio Code

Exploring Data Wrangler in VS Code - Python Data Science

Discover Data Wrangler in VS Code: Efficiently explore, analyze, and clean Airbnb listings data. Learn to invoke and use this powerful tool for streamlined data preprocessing in Python notebooks.

• YouTube
• 25 minutes
• On-Demand
• Free Online Course

Microcredential

Data Analyst

63 reviews

Master data analysis: clean messy data, uncover insights, make predictions with machine learning, and effectively communicate findings using Python, NumPy, pandas, Matplotlib, and Seaborn.

• Udacity
• 2 months 1 week 5 hours 36 minutes
• On-Demand
• Paid Course

Intro to Data Science

13 reviews

Learn foundational data science topics: manipulation, analysis, visualization, and big data. Gain practical skills through hands-on application of basic techniques across various domains.

• Udacity
• 8 weeks
• On-Demand
• Free Online Course

Data Science: Wrangling

24 ratings at edX

Learn to process and convert raw data into formats needed for analysis.

• edX
• 8 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Data Science: Capstone

54 ratings at edX

Show what you've learned from the Professional Certificate Program in Data Science.

• edX
• 2 weeks, 15-20 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Science

Comprehensive data science program covering R programming, statistics, visualization, and machine learning through real-world case studies and hands-on projects.

• edX
• 66 weeks, 2-4 hours a week
• On-Demand
• $1,481.00
• 9 courses

Wrangling Data in the Tidyverse

31 ratings at Coursera

Master data transformation techniques in R to efficiently reshape, manipulate, and analyze datasets using tidyverse packages, enhancing your ability to handle complex data structures and conduct exploratory analyses.

• Coursera
• 14 hours 5 minutes
• On-Demand
• Free Online Course (Audit)

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
• Free Online Course (Audit)

Visualization for Data Journalism

67 ratings at Coursera

Explore data visualization techniques for journalism, from chart selection to interactive storytelling. Learn to create compelling visuals using Python, applying design theories and cognitive principles.

• Coursera
• 17 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistics with R

Comprehensive R-based data analysis program covering probability, inference, regression, and Bayesian statistics. Develop practical skills for data visualization, wrangling, and reproducible reporting.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 5 courses