Improving data quality in data analytics & machine learning

Learn why, when, and how to maximize the quality of your data to optimize data-based decisions
4.62 (434 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Improving data quality in data analytics & machine learning
3 388
students
5.5 hours
content
Jun 2025
last update
$29.99
regular price

Why take this course?


_Course Instructor: Mike X Cohen
Course Title: Improving Data Quality in Data Analytics & Machine Learning

Unlock the Power of Precision: Mastering Data Quality 📊✨

Why Data Quality Matters? Data is the cornerstone of informed decision-making in today's world. From the most minute daily decisions to the grandest policy implementations, data shapes our understanding of reality. In an era where data-driven decisions are paramount, ensuring the quality of your dataset is not just a good practice - it's an imperative. High-quality data paves the way for high-quality outcomes.

Course Description: Embark on a transformative learning journey with our course "Improving Data Quality in Data Analytics & Machine Learning." This comprehensive program delves into the critical aspects of data quality, its significance in analytics and machine learning, and actionable strategies to enhance it. Learn from expert insights by Mike X Cohen, and elevate your data management skills to new heights.

🎓 Key Takeaways:

  • Strategic Insight: Grasp high-level strategies for maintaining excellent data quality, including essential terminology and the importance of documentation and management throughout the research lifecycle.
  • Quality Assessment Methods: Master both qualitative and quantitative methods to evaluate your dataset. Gain hands-on experience with Python libraries such as pandas, numpy, seaborn, and matplotlib to visualize data quality and calculate scoring metrics.
  • Data Cleaning Techniques: Learn specific data cleaning techniques and algorithms that will help you identify and reject bad or unusual data, ensuring the integrity of your datasets. Python code examples are provided to facilitate practical implementation.

Who Should Take This Course?

  • Data Practitioners: Deepen your understanding of both strategic and tactical approaches for evaluating and improving data quality. Become a master of data wrangling, cleaning, and analysis.
  • Managers & Decision-Makers: Appreciate the importance of data quality in your organization's analytics and machine learning projects. Make informed decisions with confidence, knowing that the data behind them is reliable and accurate.

🚀 Transform Your Data, Transform Your Outcomes With this course, you'll not only understand why data quality is essential but also learn the practical steps to take in optimizing your datasets. Whether you're a seasoned data analyst or just starting out, this course will equip you with the tools and knowledge to confidently navigate the complexities of data quality improvement.

Join us today, and take the first step towards making smarter, more informed decisions through high-quality data. 🚀📚️

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4604146
udemy ID
19/03/2022
course created date
07/04/2022
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