Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process
This course provides you with invaluable insights directly from a top-level data scientist with first-hand experience in recruiting data scientists for his team. You will learn everything you need to get a competitive edge over other job candidates and start a career in data science: how to create your data science project portfolio, build your resume, get an interview through networking, succeed during the phone interview, solve the take-home test, and ace the behavioral and technical questions. The course also offers you resume templates, downloadable materials, helpful infographics, as well as a section on how to optimize your LinkedIn, Github, and Kaggle profiles for recruitment purposes.
4 hours 
13 downloadables
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Section 1
Course Intro: What Is Data Science
An overview of the whole data science job market. The section covers the technical and non-technical skills you need, types of roles in data science, the interview process structure, as well as what employers look for in a candidate.
Course Overview
The Data Science Knowledge You Need
Types of Data Science Roles
The Interview Process Structure
What Interviewers Look For
How to Get the Most
Section 2
The Project Portfolio
In this section, you will understand what makes a good data science project, what types of data science projects you should do, and how to organize your projects into a portfolio on Kaggle or GitHub to make them appealing to employers.
Portfolio Overview
What Is a Data Science Project
The Projects You Should Do
How to Differentiate Your Projects
Where to Showcase Your Projects
Github Profile Best Practices
Kaggle Profile
Section 3
The Resume
Here, you will learn how to organize your resume, both virtual and hard copy, as well as what you should include to make a lasting impression on prospective employers. The section also includes a downloadable resume template - a great starting point if you haven't created a data science resume yet.
Resume Overview
How to Structure Your Resume
How to Write about Work and Projects
Customize your Resume
Your Virtual Resume
Resume Checklist
The Cover Letter
Section 4
Get an Interview
This section gives you a succinct overview of how candidates get selected, how networking can increase your chances, and how to leverage your existing resources into a data science interview opportunity.
Interviewing Overview
How Candidates are Selected
Networking for Data Scientists
Leveraging Your Resources
Informational Interviews
Reaching out to Recruiters
Section 5
The Phone Interview
Here, you will learn what to expect in data science phone interviews and discover some of the proven techniques on how to prepare for and succeed through this phase.
The Phone Interview Overview
What to Expect
How to Prepare
How to Succeed
Section 6
The Take-Home Test
This section gives you insight into the three types of take-home tests you can be given at this stage of the interview process. You will find out how to deal with data sets assignments, solve coding quizzes, and master the written test.
The Types of Take-Home Tests
Dealing with Data Sets
Coding Quizzes
Written Test
Section 7
The In-Person Interview
A detailed walk-through of the three different types of interviews - the behavioral, the in-person assessment, and the technical questions. This section comprises the best tips on how to ace the in-person interview and introduces you to the Briefcase Method – an interviewing technique that will certainly set you apart.
What to Expect
Ace the Behavioral Interview
Technical Interviewing
Following Up
The Briefcase Method
Section 8
Bonus Content: Interview with Successful Data Scientists
Here, you will get an inside look into the mind of successful candidates and how the interview process actually works. The section involves exclusive mock-interviews and 1-on-1 conversations with professionals who have successfully landed data science positions - an invaluable shortcut to a career in data science.
Anna Interview
Elevator Pitch Outline and Examples
Jaemin Interview
Jay Interview
Jefferson Interview
Sheng Interview
Glassdoor Findings
LinkedIn Bonus Content
Bonus Content: Portfolio Website
Bonus Content: Star Storytelling Technique
Section 9
Bonus Downloadable Materials
This bonus section comprises a variety of valuable downloadable resources: resume and cover letter templates and samples, reach-out templates and examples, a networking guide, as well as a complete guide with real data science interview questions and answers.
Resume and Cover Letter Templates and Checklist
Reach Out Templates
Interview Questions
Data Science Fundamentals
This course is part of Module 1 of the 365 Data Science Program. The complete training consists of four modules, each building upon your knowledge from the previous one. Whereas the other three modules are designed to improve upon your technical skill set, Module 1 is designed to help you create a strong foundation for your data science career. You will understand the core principles of probability, statistics, and mathematics; you will also learn how to visualize your data.
See All Modules
Why Choose the 365 Data Science Program?
Practice
Real-life project and data. Solve them on your own computer as you would in the office.
Q&A Hub
Our expert instructors are happy to help. Post a question and get a personal answer by one of our instructors.
Certificates
Earn a verifiable certificate after each completed course. Celebrate your successes and share your progress with your professional network!
Trust the other 500,000 students
The course is in-depth and is delivered at a steady pace with eye catching visuals. The instructors go through all the basics really well. They try not to over-simplify the material, you get a good sense аof how deep Data Science is in the course. Great job!!!
This course is amazing! After watching the video carefully and doing all the exercises, I am even capable of having discussions with Machine learning major Master’s students! High standard course with reasonable pricing.
Very clear and in-depth explanation of data science and how all the inter-related concepts apply in real life business environment. Absolutely great for beginners! Best data science course I have come across so far!
I would highly recommend the course to any beginner who wants to venture into the world of Data Science. The concepts are very well explained and there is an emphasis on practical application which really helps create a better understanding of the concepts.
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