07 Big Data MBA Episode 07: How Millennials Should View World of Data Science
Everyone, especially Millennials, need to learn to think like a Data Scientist; the ability to explore, discover, test/try, learn and test/try again is invaluable no matter your career.
Here are the key aspects to Data Science success:
•Data Science is a team sport. It takes a diverse team of data, analytic and subject matter experts to win the game…embrace organizational improvisation to quickly morph the team depending upon the situational needs
•Embrace the “Thinking Like a Data Scientist” scientific method; master the ability to explore, discover, test/try, learn and test/try again is invaluable no matter your career because if you don’t have enough “might” moments, you’ll never have any break-through moments
•The Hypothesis Development Canvas is your friend. It will define the business criteria for success including a detailed understanding of the financials and impediments of the targeted use case, the metrics and KPI’s against which progress and success will be measured.
o Critical importance of identifying and quantifying the costs of False Positives and False Negatives
•Understand 3 levels of advanced analytics and how they can turn “data into gold”:
o Level 1: Predictive Analytics. Uncovering Insights and Foresight to quantify Cause-and-Effect using Statistics, Clustering, Classification, Regression Analysis
o Level 2: Prescriptive Analytics. Optimizing Decision-making with prescriptive recommendations using Supervised and Unsupervised Machine Learning
o Level 3: Autonomous Analytics. Creating Intelligent Enterprise - continuously-learning / adapting using AI, Deep Learning, Reinforcement Learning
Blog: How Millennials Should View the World of Data Science / how-millennials-should-view-world-data-sci...
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