Page Index - MMBazel/Springboard-DataScienceTrack-Student GitHub Wiki

102 page(s) in this GitHub Wiki:

• Home
• Springboard Data Science Career Track
• Resources List by Unit of Study/Chapter
• 1. The Python Data Science Stack
• 2. Data Wrangling
• 3. Data Story
• 4. Statistical Inference
• 5. Machine Learning
• 6. Career Resources
• Capstone Project: Building a Data Product
• 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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