Marketing Analytics, Data Science and Leadership – October 21, 2019 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science and leadership you should be reading.

The Top 4 Enterprise SEO Platform Tools: An In-Depth Review via @SEOGoddess

The Botify enterprise SEO platform team has never seen any websites with zero potential.

Read the full article here: https://www.searchenginejournal.com/top-enterprise-seo-platform-tools-review/327031/

How to Become a (Good) Data Scientist Beginner Guide via @kdnuggets

A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.

Read the full article here: https://www.kdnuggets.com/2019/10/good-data-scientist-beginner-guide.html

Improving Big Data Analytics To Address Cybersecurity Challenges via @whoisxmlapi

Big data analytics in cybersecurity works best when companies have access to as much available information as possible.

Read the full article here: https://www.smartdatacollective.com/improving-big-data-analytics-to-address-cybersecurity-challenges/

TikTok Analytics: What Marketers Need to Know via @smexaminer

Now with the introduction of TikToks native analytics, combined with Pentoss third-party tool, you can attribute the performance of your content across the platform.

Read the full article here: https://www.socialmediaexaminer.com/tiktok-analytics-what-marketers-need-to-know/

A Super Friendly Guide to the Mathematics behind Machine Learning via @analyticsvidhya

One of the most common questions I’m regularly asked by aspiring data scientists is “whats the difference between data science and machine learning?”

Read the full article here: https://www.analyticsvidhya.com/blog/2019/10/mathematics-behind-machine-learning/

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