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Learn Data Wrangling, earn certificates with paid and free online courses from Harvard, Johns Hopkins, Duke, University of Illinois and other top universities around the world. Read reviews to decide if a class is right for you.
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.
Perform Data Wrangling with the Python Programming Language. Practice and Solution Notebooks included.
Learn about the principles of tidy data and discover how to import, transform, clean, and wrangle data using the R programming language.
Explore how prefix-tuning offers an efficient alternative to LLM fine-tuning for data wrangling tasks, requiring minimal parameter updates while maintaining comparable performance in data integration and cleaning.
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.
Mastering command-line tools for efficient data manipulation in offensive security. Learn sorting, regex, grep, find, and JSON processing to enhance your hacking capabilities.
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.
Master data analysis: clean messy data, uncover insights, make predictions with machine learning, and effectively communicate findings using Python, NumPy, pandas, Matplotlib, and Seaborn.
Learn foundational data science topics: manipulation, analysis, visualization, and big data. Gain practical skills through hands-on application of basic techniques across various domains.
Learn to process and convert raw data into formats needed for analysis.
Show what you've learned from the Professional Certificate Program in Data Science.
Comprehensive data science program covering R programming, statistics, visualization, and machine learning through real-world case studies and hands-on projects.
Data Scientists spend most of their time cleaning data. In this course, you will learn to convert and manipulate messy data to extract what you need.
Develop advanced analytics skills using Alteryx and Tableau to solve real-world business problems, prepare for Business Analyst roles, and make data-driven decisions.
Master data analysis skills, Python programming, and practical statistics to launch a successful career in data science with hands-on projects and industry-relevant curriculum.
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