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DATA ANALYTICS

Recommendations

Jacob Curtis, Ph. D.

Everything I know about data science, I learned from Dr. Wang. I worked on his research team from 2014 to 2018. During that time, I learned programming, how to build machine learning models, how to create effective visualizations, how to present findings to stakeholders, how to collaborate on a data science team, and much much more.

Dr. Wang is an excellent data scientist. Over our time together, he and the team he led built dozens of machine learning models to solve problems related to education and health. He was passionate about always learning new data science techniques to improve the work. Because of his passion for learning and improving, he has a deep knowledge of data science and ML/AI techniques.

Dr. Wang is a one-of-a-kind leader. He works towards creating an environment where everyone can flourish. He truly cares about those he leads. To this day, he still regularly checks in on me to see how I’m doing. Now that I’m manage my own data science team, I look to him as an example of the type of leader I want to be.

I don’t think it’s an overstatement to say I owe my career to Dr. Wang. I’m very lucky to have had him in my life.

William "Buddy" Gerber, MPA, Ph. D.

I count myself lucky to be one of the many to have been mentored by Dr. Wang. Through his tutelage I have not only found a passion for data science, but aspire to have the understanding and ability to transfer that knowledge in the manner that Dr. Wang can. Being part of the team that he put together to analyze complex issues developed skills that are beyond what formal education can attain.

Not only is Dr. Wang highly skilled in data science, he has a perspective that can make the complex appear simple. I have been fortunate to work with him on Machine Learning (ML) analysis of substance use and criminal justice. His understanding and application of ML concepts is remarkable. I have not met anyone with as deep of an understanding of the multiple statistical methods and models. His passion for staying on the cutting edge of analysis is evident in not only his abilities, but also in his ease of explaining new technologies.

Being a part of Dr. Wang’s team explains 100% of the variance in my statistical capabilities. I have also been able to glean a perspective to look at issues more critically, and determine the best avenue for analysis. Working with Child Protective Services provided difficulties due to the patchwork of data and issues. However, through analysis, Dr. Wang was able to lead the team to develop relevant understanding and provide solutions for outcomes.

I recommend Dr. Eugene Wang for all statistical analysis, specifically ML. I cannot think of anyone who has more abilities or experience in analyzing social sciences. His understanding of governmental programs, substance misuse, criminal justice and child welfare are beyond compare. His integrity only adds to the mixture of abilities. Any job that Dr. Wang is involved in will be done transparently and honestly. Skill, integrity, and leadership are the best adjectives I can think of in describing Dr. Wang.

What is Data Science?

“Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.”
Source: DataRobot
The Data Science Life Cycle
Source: Berkley School of Information.

The image represents the five stages of the data science life cycle

  • Capture (data acquisition, data entry, signal reception, data extraction)
  • Maintain (data warehousing, data cleansing, data staging, data processing, data architecture)
  • Process (data mining, clustering/classification, data modeling, data summarization)
  • Analyze (exploratory/confirmatory, predictive analysis, regression, text mining, qualitative analysis)
  • Communicate (data reporting, data visualization, business intelligence, decision making)

“The ability to take data — to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades.”

– Hal Varian, chief economist at Google and UC Berkeley professor of information sciences, business, and economics

"Effective data scientists are able to identify relevant questions, collect data from a multitude of different data sources, organize the information, translate results into solutions, and communicate their findings in a way that positively affects business decisions. These skills are required in almost all industries, causing skilled data scientists to be increasingly valuable to companies." (Source: Berkley School of Information.)

More coming soon!