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MMBazel
Springboard-DataScienceTrack-Student
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Appendix: Resources: By Function Domain Industry
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Mikiko Bazeley edited this page
Jul 16, 2019
·
1 revision
Marketing:
https://github.com/TrainingByPackt/Data-Science-for-Marketing-Analytics
Wiki pages
Pages
47
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Home
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01 Chapter: Course Outline
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02 Chapter: What is Data Science?
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04 Chapter: The Python Data Science Stack
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05 Chapter: Data Wrangling
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06 Chapter: Effective Networking
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07 Chapter: Data Storytelling & Visualization
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08 Chapter: Inferential Statistics
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10 Chapter: Machine Learning
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12 Chapter : Deep Learning Track
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12 Chapter: NLP Track
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13 Chapter: Software Engineering for Data Scientists
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14 Chapter: Planning For And Getting Interviews
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16 Chapter: Data Science at Scale
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Appendix: Additional Career Resources
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Appendix: Additional Resources to be reviewed and read
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Appendix: Advanced Analytics
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Appendix: Beautiful Inspiration
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Appendix: Customer Propensity Scoring
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Appendix: DSDJ Links
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Appendix: Improving Data Science projects
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Appendix: Interesting Data Sources
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Appendix: Interesting Technical (Non DS Resources)
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Appendix: Interview: DS General Interview
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Appendix: Model Algorithm Deep Dive
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Appendix: Post Vacation
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Appendix: Post Springboard
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Appendix: Productionalizing Models
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Appendix: Resources: By Function Domain Industry
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Appendix: Resources: DS Career
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Appendix: Resources: Terminology & Definitions
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Appendix: Scaling DS Initiatives & Teams
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Blog Posts on Data Bootcamp
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Bootcamp: Worth it or not?
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Capstone Project 1
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Capstone Project 2
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Career Resources: Chapter 3, 6, 9, 11, 14, 17
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Mini Project: API
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Mini Project: Clustering
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Mini Project: Data Wrangling API
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Mini Project: EDA
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Mini Project: JSON
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Mini Project: Linear Regression Using the Boston Housing Prices Data
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Mini Project: Logistic Regression
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Mini Project: Naive Bayes
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Mini Project: PySpark
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Mini Project: Reduce Hospital Admissions
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