Stand Out In Your Data Job Search - Join DataShip
This is your private application to join DataShip Program with Jaret Andre. Please answer all questions 100% HONESTLY. The more you share, the more we can help you.
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Glance At A 12 week Example
Our Customized Roadmap
We will customize a plan to your personal needs/wants to prepare you for your journey to your goal!
With the option of creating/building a project to show off to employers
Week 1: Creating The Optimal Path
MODULE 1: Creating the optimal path (Goal Planning and Assessing Skills)
- PROJECT: Brainstorm project ideas
- Start thinking about what your project should include
WEEK MILESTONE 1: Have goals set and a road map built
Week 2: Project Planning
MODULE 2: Project Planning
PROJECT: Have a project idea
- Have the “Must-have” list of technical skills for the project
- Have the “Nice to have” list of technical skills for the project
WEEK MILESTONE 2: Learn what makes an industry-like portfolio project
PROJECT DELIVERABLE 2: Have project planned (Tools, skills, deadlines)
Week 3 : Portfolio Optimizing
MODULE 3: Optimizing Portfolio
PROJECT: Start to look for dataset(s)
WEEK MILESTONE 3: Resume, Cover Letter, LinkedIn, GitHub & Websites Optimized
PROJECT DELIVERABLE 3: Have several datasets gathered
Week 4: The Applying & Networking System
MODULE 4: The Applying & Networking System
PROJECT: Finalize datasets
WEEK MILESTONE 4: Step-by-step system for interviews
PROJECT DELIVERABLE 4: Chosen dataset(s)
Week 5: Habit-Formed Interview Skills
MODULE 5: Habit-Formed Interview Skills
PROJECT: Data cleaning, Start EDA
WEEK MILESTONE 5:
PROJECT DELIVERABLE 5: Clean and formatted dataset(s)
Week 6: Contract Negotiation
MODULE 6: Contract Negotiation
PROJECT: Exploratory data analysis (EDA), Start preparing for data engineering
WEEK MILESTONE 6: Course complete
PROJECT DELIVERABLE 6: EDA complete
Week 7: Engineered Data
PROJECT: Data Engineering, Start preparing for data transformations
PROJECT DELIVERABLE 7: Data-engineered data
Week 8: Data Transformation
PROJECT: Data transformations, Start preparing for feature selection
PROJECT DELIVERABLE 8: Data Transformed and ready for models
Week 9: Feature Selection
PROJECT: Feature selection, Start Preparing for comparing algorithms/models
PROJECT DELIVERABLE 9: Feature selection data
Week 10: Comparing Models
PROJECT: Comparing (experimentation) algorithms/models, Start Preparing hyper-tuning parameters
PROJECT DELIVERABLE 10: Compared multiple models
Week 11: Tunning Models
PROJECT: Hyper-parameter tuning, Start Preparing an evaluation of the models
PROJECT DELIVERABLE 11: Have a tuned model
Week 12 - 16: Marketing Portfolio
PROJECT: Add Final Touches
WEEK(S) MILESTONE: You have the mindset, confidence and skills to break into the industry!
PROJECT DELIVERABLE FINAL: Have a project ready for employers that you are comfortable discussing and proud of!
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