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Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process
Course Intro: What is Data Science
Course Overview (2:08)
The Data Science Knowledge You Need (2:08)
Types of DS Roles (2:58)
The Interview Process Structure (1:32)
What Interviewers Look For (1:41)
How to Get the Most (1:36)
The Project Portfolio
Portfolio Overview (1:30)
What is a Data Science Project (2:21)
The Projects You Should Do (1:33)
How to Differentiate Your Projects (2:37)
Where to Showcase Your Projects (0:35)
Github Profile Best Practices (6:45)
Kaggle Profile (8:53)
The Resume
Resume Overview (1:17)
How to Structure Your Resume (4:04)
How to Write about Work and Projects (2:13)
Customize your Resume (1:13)
Your Virtual Resume (1:23)
Resume Checklist (2:22)
The Cover Letter (2:07)
Get an Interview
Interviewing Overview (0:31)
How Candidates are Selected (0:49)
Networking for Data Scientists (4:04)
Leveraging Your Resources (1:16)
Informational Interviews (1:56)
Reaching out to Recruiters (1:01)
The Phone Interview
The Phone Interview Overview (0:19)
What to Expect (1:26)
How to Prepare (2:27)
How to Succeed (1:22)
The Take-Home Test
The Types of Take-Home Tests (1:26)
Dealing with Data Sets (4:03)
Coding Quizzes (1:42)
Written Test (0:58)
The In-Person Interview
What to Expect (1:05)
Ace the Behavioral Interview (3:03)
Technical Interviewing (2:35)
Following Up (1:09)
The Briefcase Method (1:31)
Bonus Content
Anna Interview (16:13)
Elevator Pitch Outline and Examples (5:49)
Jaemin Interview (14:08)
Jay Interview (25:41)
Jefferson Interview (37:53)
Sheng Interview (33:54)
Glassdoor Findings (3:46)
LinkedIn Bonus Content (6:03)
Bonus Content: Portfolio Website (12:44)
Bonus Content: Star Storytelling Technique (1:41)
Bonus Downloadable Materials
Resume and Cover Letter Templates and Checklist
Reach Out Templates
Interview Questions
The Data Science Knowledge You Need
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