What you will learn
- Define different types of data integrity and identify risks to data integrity.
- Apply basic SQL functions to clean string variables in a database.
Develop basic SQL queries for use on databases.
Describe the process of verifying data cleaning results.
Program Overview
The Importance of Integrity
⏱️ 3 hours
- Explore methods to check data for integrity, including handling insufficient data and avoiding sampling bias.
Clean Data for More Accurate Insights
⏱️5 hours
- Learn the difference between clean and dirty data, and practice cleaning data in spreadsheets and other tools.
Data Cleaning with SQL
⏱️ 4 hours
- Use SQL to clean data from databases, exploring how SQL queries and functions can clean and transform data before analysis.
Verify and Report on Cleaning Results
⏱️ 2 hours
- Learn to verify that data is clean and report your data cleaning results, ensuring accuracy and transparency.
Optional: Add Data to Your Resume
⏱️ 3 hours
- Focus on building a resume that highlights your strengths and relevant experience in data analytics.
Course Challenge
⏱️ 3 hours
- Apply the skills learned in a hands-on project to process data from dirty to clean.
Get certificate
Job Outlook
Proficiency in data cleaning is crucial for roles such as Data Analyst, Business Analyst, and Data Scientist.
Skills acquired in this course are applicable across various industries, including technology, healthcare, finance, and more.
Completing this course can enhance your qualifications for entry-level data analytics positions.
Specification: Process Data from Dirty to Clean
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