Improving data quality in data analytics & machine learning — 94% Off Coupon
Learn why, when, and how to maximize the quality of your data to optimize data-based decisions
Key Takeaways
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Course Title: Improving data quality in data analytics & machine learning
Provider: Udemy (Listed via CoursesWyn)
Instructor: Mike X Cohen
Coupon Verified On: April 6, 2026
Difficulty Level: All Levels
Category: Development
Subcategory: Data Quality Management
Duration: 5h 30m of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
Top Learning Outcomes: Strategies for increasing data quality · Ways to assess data quality · Interpreting data visualizations
Prerequisites: Interest in working with data · Interest in knowing more about data quality · Some Python skills are useful for the optional coding videos
Price: $11.99 with coupon / Regular Udemy price: $199.99. Applying this coupon saves you $188.00 (94% OFF).
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Requirements
Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.
Interest in working with data
Interest in knowing more about data quality
Some Python skills are useful for the optional coding videos
About This Course
Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.
- High-level strategies for ensuring high data quality, including terminology, data documentation and management, and the different research phases in which you can check and increase data quality.
- Qualitative and quantitative methods for evaluating data quality, including visual inspection, error rates, and outliers. Python code is provided to see how to implement these visualizations and scoring methods using pandas, numpy, seaborn, and matplotlib.
- Specific data methods and algorithms for cleaning data and rejecting bad or unusual data. As above, Python code is provided to see how to implement these procedures using pandas, numpy, seaborn, and matplotlib.
- Data practitioners who want to understand both the high-level strategies and the low-level procedures for evaluating and improving data quality.
- Managers, clients, and collaborators who want to understand the importance of data quality, even if they are not working directly with data.
Meet Your Instructor
Academic background and professional track record of the subject matter expert responsible for this curriculum.
Mike X Cohen
Verified Architect
A global leader with specialized excellence in Development. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.
Course Comparison
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| Feature Benchmarks | This Verified Offer | Global Standard |
|---|---|---|
| Cost Verification | FREE (100% Validated) | Fixed Subscription Fee |
| Enrollment Type | Professional Lifetime Access | Limited Time Ownership |
| Certification Award | Included with Access Code | Required Add-on Fee |
Expert Review
"After auditing the curriculum depth and verifying the live access protocol, Improving data quality in data analytics & machine learning stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."
✅ Strategic Advantages
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Official Certificate: Credential generated at no cost.
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Mobile Friendly: Full access via smart TV & mobile.
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Expert Pacing: Modular design for professional schedules.
❌ Considerations
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Technical Depth: Requires focused 10+ hours study.
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Tool Prep: Certain labs require proprietary software setups.
Course Rating
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Frequently Asked Questions
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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