Top 10 Challenges to Practicing Data Science at Work

Data science is about finding useful insights and putting them to use. Data science, however, doesn't occur in a vacuum. When pursuing their analytics goals, data professionals can be confronted by different types of challenges that hinder their progress. This post examines what types of challenges experienced by data professionals. To study this problem, I used data from the Kaggle 2017 State of Data Science and Machine Learning survey of over 16,000 data professionals (survey data collected in August 2017).