Timestamp Data Visualization by Matplotlib
A large volume of timestamp data is a reality, this is common when we are dealing with networked devices. Typically a network of devices generate a large number of alerts...
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DSC Webinar Series: How to Keep Your R Code Simple While Tackling Big Datasets
R, TERR, Spark and Python are tools that benefit from larger systems. Software-Defined Servers enable data scientists to size their processing system to the size of a par...
How Uber Depends on Data Analytics to Deliver Extreme Customer Service – Face To Face With Uber’s Chief Data Architect
From a simple limo hailing app for friends to the world’s go-to taxi app. Uber’s growth in the approximately 7 years of existence can be described by one word, “Phe...
Data Engineering vs. Data Science Infographic
If you’re interested in the field of analytics, you’ve probably heard the terms Data Engineering and Data Science, but do you know the difference? Although th...
Selecting Forecasting Methods in Data Science
We are dealing with plethora of data and information in the world today and expectation is to predict and forecast how we can gain competitive advantage based on the info...
How Big Data can Help Community Banks
Big Data tools not only simplify lengthy analytical procedures in any industry, but they also provide a competitive advantage to banks. With new regulations, banks are lo...
Data Science of Digital Payments
Abstract – Any one working within industries like the mobility, fintech, mobile money, payments, banking or InsureTech with little knowledge of data science is actuall...
DSC Webinar Series: Improving Advanced Data Prep and Analytics in Spreadsheets
Spreadsheets are still heavily relied upon for advanced data preparation and analysis in many organizations as it is often the most accessible tool available. But, access...
What to look for when hiring an entry-level data scientist?
The question was posted on Quora as “What do you look for when hiring an entry-level data scientist? Would a master’s in Data Science or a bootcamp be beneficial?...
3 Post Election Lessons About Polling & Behavioral Data
The entire polling industry faced an existential crisis on the grim morning of November 9, 2016. The morning before, on Election Day, nearly every mainstream media outlet...