#DataScience
2020- SAS: Key questions to kick off your data analytics projects
2020- The ONE thing you need for success at analytics
2020- Springer has released 65 Machine Learning and Data books for free
2020- Open Source for Predictive Analytics and Machine Learning: Understanding the Pros and Cons
2019- Quality over quantity: building the perfect data science project
2019- How to Gain Data Science Experience Before Your First Data Science Job
2019- Fantastic Data Scientists: where to find them and how to become one
2019- Data Science Books you should read in 2020
2019- Modern Data and Analytics Requirements Demand a Convergence of Data Management Capabilities
2019- The 10 Statistical Techniques Data Scientists Need to Master
2019- BlackRock: Is the Future of Investing in Machine Learning?
2019- ‘Big data’ and ‘analytics’ – Two of the top buzzwords everyone secretly hates
2019- 3 skills a data scientist needs to set them apart from the competition
2019- The premier machine learning conference
2019- The Next Level of Data Visualization in Python
2019- Chartning the path to success for artificial intelligence in healthcare
2019- Building your data and analytics strategy
2019- Open Analytics_SAS
2019- Data Scientists in High Demand for Healthcare Providers, Payers
2019- Foundations of Data Science
2018- Data Science Central
2018- 3 key discussions Trump must have with tech leaders about AI
2018- Fueling Innovation: Careers in Data Science & Analytics
2018- Machine Learning for dummies
2018- Healthcare Analytics/Medical Analytics Market worth 29.84 Billion USD by 2022
#Other
2019- SQL vs. NoSQL vs. NewSQL
2019- Is Python’s popularity peaking? Will the programming language’s limitations end its rapid rise?
2019- Gartner Reprint
2019- The Mathematician Turning Basketball Into a Science
2019- Resource Hub for Data Professionals_SAS
2019- Cloud Adoption & Risk Report 2019
2018- Waterfall
2018- ACM Code of Ethics and Professional Conduct
2017- 100 Data and Analytics Predictions Through 2021
