A wonderful weekend awaits you but first, let’s take a look at the big news that dominated the feed of DexLab Analytics this week. We are a team of expert consultants who meticulously craft industry-relevant courses for interested candidates. More like a ritual, each Friday, we bring you all the latest updates, news and trends emanating from the digital ecosystem. This week, we intensely talked about Alteryx and its popular use cases, the life cycle of a data science project and the differences between Alteryx and SAS.
Alteryx and It’s Popular Use Cases
Alteryx certification is the new talk of the town. It is a nifty quick-to-implement data analytic tool that solves intricate business problems in a jiffy. Thanks to an intuitive interface and end-to-end platform facility, Alteryx has turned out to be the Holy Grail for data analysts. Learn more.
The Life Cycle of a Data Science Project
Business understanding, data mining, data cleaning, data exploration, feature engineering, predictive modeling and data visualization are 7 key steps involved in the life cycle of a data science project. Watch the video now!
Is Alteryx Better Than SAS?
This is quite a difficult question to answer… Alteryx or SAS? To best answer, we would like to say that they are entirely two different platforms and serve very distinctive purposes. We just can’t say which one is better but we’ve tried to pull in a fair comparison. Know more.
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