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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