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January 20196 Effective Email Marketing Metrics to Measure Success
Every email marketing campaign will succeed or fail, but how do you categorize something as a success or a failure? That's where metrics come in. Marketing campaigns are measured differently depending on your overarching goal, but most of the metrics we all use are the same. Metrics are a...
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December 2018Marketing Analytics Tools For Success
From customer relationship management to tracking analytics, marketing tools are important in the modern world. Learn how to make the most of these tools.What do you normally find in a toolbox? A hammer, screwdriver, nails, tape measure? If you're building a bird house, these would be perfect for ...
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December 2018Unfolding Naive Bayes from Scratch Part Two
Naive Bayes, one of the most common algorithms, can do a fairly good job at most classification tasks. A Deep Dive into Naïve Bayes for Text Classification Often used for classifying text into categories, Naive Bayes uses probability to make predictions for the purpose of classifica...
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November 2018Do Not Let Ad Hoc Analysis Drag you Down
Maybe your boss isn’t Bill Lumbergh, but if his understanding of analytics is limited to green and red, chances are you’ve rolled your eyes more than once.Hello Peter, what's happening? Ummm, I'm gonna need you to go ahead come in tomorrow to build that report. So if you could be here around 9...
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November 20185 Design Problems You Should Be Solving with Data
Designers don't need to use data-driven decision-making, right? Here are 5 common design problems you can solve with the data science basics.Design is a busy job. You have to balance both artistic and technical skills and meet the needs of bosses and clients who might not know what they want until...
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November 2018Essential Data Science Job Skills Every Data Scientist Should Know
What are Data Scientists? What job skills should they possess? Learn about the skillset and roles of a data scientist.How do we distinguish a genuine data scientist from a dressed-up business analyst, BI, or other related roles? Truth be told, the industry does not have a standard definition of a...
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October 2018Unfolding Naive Bayes from Scratch Part One
If you're enthusiastic to learn Naive Bayes and want to go more in-depth with a step-by-step example, look no further and read along. A Deep Dive into Naïve Bayes for Text Classification Naive Bayes is one of the most common machine learning algorithms that is often used for classif...
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May 2018Big Data Ethics and 10 Controversial Data Science Experiments
Big data brings big responsibilities. Data is changing the way we live our lives and do business. Here are 10 controversial data science experiments. Data science is changing the game when it comes to manipulating data sets and visualizing big data. Knowing how to conduct a successful dat...
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May 2018Telecom Data and 7 Practical Applications for It
Do you know what can be done with your telecom data? Who decides how it should be used?Telecommunications isn’t going anywhere. In fact, your telecom data is becoming even more important than ever. From the first smoke signals to current, cutting-edge smartphones, the objective of telecommunic...
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May 2018Sustainability Data and Machine Learning | Learn Data Science
It's not easy going through thousands of SEC filings when you're part of that SASB. Sustainability data and machine learning can make that job easier.Imagine being an investor before Volkswagen’s recent emissions scandal. Now imagine pricing in the risk of Volkswagen’s governance controls rela...