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Part 1: Breaking into the Data Science Field
Part 1: Breaking into the Data Science Field
Chapter 1: Exploring Today¡¯s Modern Data Science Landscape
Chapter 2: Finding a Job in Data Science
Part 2: Manipulating and Managing Data
Chapter 3: Programming with Python
Chapter 4: Visualizing Data and Data Storytelling
Chapter 5: Querying Databases with SQL
Chapter 6: Scripting with Shell and Bash Commands in Linux
Chapter 7: Using Git for Version Control
Part 3: Exploring Artificial Intelligence
Chapter 8: Mining Data with Probability and Statistics
Chapter 9: Understanding Feature Engineering and Preparing Data for Modeling
Chapter 10: Mastering Machine Learning Concepts
Chapter 11: Building Networks with Deep Learning
Chapter 12: Implementing Machine Learning Solutions with MLOps
Part 4: Getting the Job
Chapter 13: Mastering the Interview Rounds
Chapter 14: Negotiating Compensation
Index
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Stubberfield, Aaren
Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
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Gonzalez, Leondra R.
Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
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