👌 Looking to Enhance Your Data Quality? This is for You 🖋️ Author: Rahul Madhani 🔗 Read the article here: https://lnkd.in/e4BQfyvr ------------------------------------------- ✅ Follow Data Engineer Things for more insights and updates. 💬 Hit the 'Like' button if you enjoyed the article. ------------------------------------------- #dataengineering #python #datascience #data
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Microsoft & Databricks Certified | Data Architect | Lead Data Engineer | Technical Content Creator
🚀 Looking to Enhance Your Data Quality? This is for You! 🚀 Are you struggling with data accuracy, consistency, or integrity? In my latest blog, I dive into practical techniques for implementing data verification and validation processes that can elevate the quality of your data to the next level. Whether you're a Data Engineer, Analyst, or anyone working with data, this blog will help you ensure your data is reliable and fit for decision-making. https://lnkd.in/dMXHcNVd Follow Rahul Madhani for more insights and updates. 🚀 If you found this post helpful, please help others by reposting it ♻️ #DataQuality #DataManagement #Databricks #Python #DataScience #DataEngineering
Looking to Enhance Your Data Quality? This is for You
blog.det.life
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This tutorial shows you exactly how to analyze and leverage #UnusualOptions 📊 data. It's a powerful way to track unique shifts in the market and predict what's next! https://hubs.ly/Q02KS5sH0
The Intrinio API: A Deep Dive into Unusual Options Activity | Intrinio
intrinio.com
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Read these simple steps to performing various hypothesis tests on your data, evaluating, and interpreting results.
How to Perform Hypothesis Testing with SciPy
https://www.statology.org
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5 Tips for Using Regular Expressions in Data Cleaning - KDnuggets https://lnkd.in/eVbTAEjx
5 Tips for Using Regular Expressions in Data Cleaning - KDnuggets
kdnuggets.com
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Circular data, such as data that represents angles, directions or timestamps, can present unique challenges when it comes to analysis and modeling. https://lnkd.in/dEZdvt8p
Introducing PyCircular: A Python Library for Circular Data Analysis
towardsdatascience.com
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Interesting data problems in this course! Pleased to expand my knowledge with this.
Khawla Al-Matar's Statement of Accomplishment | DataCamp
datacamp.com
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Principal Component Analysis is not only for dimensionality reduction but also a surprisingly effective method for outlier detection. In this article, Brett Kennedy explains how PCA transforms data, reduces dimensionality, and reshapes datasets to make outliers easier to detect. #DataScience #DataAnalytics
Using PCA for Outlier Detection
towardsdatascience.com
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5 Tips for Using Regular Expressions in Data Cleaning https://lnkd.in/dDahWXu6
https://www.kdnuggets.com/5-tips-for-using-regular-expressions-in-data-cleaning?utm_source=rss&utm_medium=rss&utm_campaign=5-tips-for-using-regular-expressions-in-data-cleaning
kdnuggets.com
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📊 𝐃𝐚𝐭𝐚 𝐢𝐬 𝐭𝐡𝐞 𝐛𝐚𝐜𝐤𝐛𝐨𝐧𝐞 𝐨𝐟 𝐚𝐧𝐲 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲. Without accurate, timely, and interpretable data, even the best-laid plans fall short. Learn more about the pivotal role of data in shaping successful strategies in this insightful article! #DataStrategy #BusinessInsights #Analytics
“I can put the best strategy out there but if I don’t have good data, nice graphs, accurate data, timely interpretable data, it doesn’t mean anything.” https://lnkd.in/eQwcSthT
In-demand data and analytics skills to hire for now | MIT Sloan
mitsloan.mit.edu
