Data Wrangling
Take your first step in unlocking the power of your data with this Micro-Credential in “Data Wrangling.” Learn how to organize and prepare your data, making it ready for analysis and increasing its value. If you’re eager to boost your data analysis skills, don’t miss this essential starting point.
Competency
Earners are able to convert raw data into another format more suitable for use by data wrangling and cleaning, as well as analyze the data according to the set objectives.
How ?
Earners are able to use data wrangling and cleaning to convert data into a format that is suitable for use, accurate, and complete that can be accessed and further analyzed, based on the principles of data wrangling
Method overview
6 Key steps to manage and clean data:
- Data Exploration and Collection
- Data Structuring and Formatting
- Data Cleaning
- Data Enrichment
- Data Validation
- Data Dissemination for use in analysis or other applications.
How can you achieve ?
- Select and describe previous data wrangling experience and demonstrate an understanding of the data set and its structure.
- Organize data according to established principles and processes into a format that can be analyzed. Explain and illustrate data examples that necessitate the required steps, which must be consistent with the data characteristics and data issues.
- Select tools and develop effective data manipulation scripts (based on data validation principles). The script must be executable and demonstrate the results of the data manipulation.
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Guidelines are now available in Thai
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Unlimited Access to Competency Guidelines
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2 Submission Quotas to Verify Competency
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Personalized Feedback
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Digital Badge
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Shareable to Social Network
Learning unit will be coming soon!
Currently, this micro-credential is available only with the Verify plan.
What will you get ?
Digital Badge
Data Wrangling
Issued by KMUTT | You will earn this digital badge after you have completed this Micro-credential.
- Show your real works as the competency evidence
- Sharable with an attachment of assessor’s recommendation letter
- Verified by educational / industrial experts
Who is this for ?
- For individuals outside the fields of Data Analyst/Data Scientist/Data Engineer/Business Intelligence, who want to use these principles or processes for basic data organization in various tasks.
- For entry-level Data Scientists/Data Engineers/Business Intelligence professionals who wish to learn about preparing and enriching data for subsequent analysis.
Who developed this ?
Asst.Prof.Dr. Suthathip Maneewongvatana
Director of the KMUTT Library and
Professor at Department of Computer Engineering (CPE), KMUTT
Expertise/Experiences:
- Project Manager for Data Linkage and Analysis for Poultry Disease Forecasting in the Food Industry
- Project Consultant for the Automated Library System Development (KMUTT-LM) in the LM-Recommendation Module