Dataframe Storage Efficiency in Python-Pandas
Summary: It’s no secret that Python-Pandas is central to data management for analytics and data science today. Indeed, what we’re seeing now is Pandas being e...
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DSC Podcast Series: Data Science Fails: Ignoring Business Rules & Expertise
Nowadays, we have unprecedented access to data, plus the computing power and advanced algorithms to find correlations. We look at a cautionary case study of a cancer cent...
Which masters or PhD program should I choose for Data Science or Artificial Intelligence?
Which masters or PhD course should I choose for Data Science or Artificial Intelligence? This is one of the most common questions I am asked Here is my view – and...
What is the Data Architecture we Need?
In the new era of Big Data and Data Sciences, it is vitally important for an enterprise to have a centralized data architecture aligned with business processes, which sca...
Introduction to privacy-preserving synthetic data
This blog takes a closer look at the concept of privacy-preserving synthetic data. It answers the question “what is synthetic data” and looks at the origin of synthet...
A Pivotal Year for Data Scientists- 2020
Data scientist remains to be one of the best jobs in 2020. According to McKinsey, the US will be facing a shortfall of 250,000 data scientists by 2024. Though the jobs ma...
Difference between Data Analysis and Statistical Analysis
Fifty years, ago, the lines between “data analysis” and “statistical analysis” were pretty clear. But as data analysis evolved, those lines became...
AI-Powered Big Data and It’s Business Impacts: The Complete Guide
Big Data is the one of the technologies you can hear everywhere right now. Powered by Artificial Intelligence and Machine Learning capabilities it could significantly imp...
DSC Webinar Series: The Beautiful Science of Data Visualization
Explore the scientific underpinnings of what enables people to understand data quickly and effectively. In this latest Data Science Central webinar, take a deep dive into...
Best Languages for Data Science and Statistics in One Picture
Hundreds of programming languages dominate the data science and statistics market: Python, R, SAS and SQL are standouts. If you’re looking to branch out and add a n...