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Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process

Breaking into data science: resume tips, project portfolio guidance, and mastering the interview

4.8

862 reviews on
14,692 students already enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

4 hours
  • Lessons (4 hours)
  • Practice exams (28 minutes)

CPE credits:

7.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

  • Gain a clear roadmap for starting a career in data science
  • Discover the various data science roles you can pursue
  • Craft a professional resume that showcases your skills in the best possible light
  • Build an appealing project portfolio to get your foot in the door
  • Ace data science phone and in-person interviews
  • Leverage LinkedIn and other platforms to discover job opportunities
  • Approach the data science job hunting process with confidence

Topics & tools

TheoryData AnalysisCareer DevelopmentSoft skills

Your instructor

Course OVERVIEW

Description

CPE Credits: 7.5 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Do you want to learn how to start a career in data science? Are you an individual who has acquired the necessary skills and wants to find the perfect entry-level job opportunity? If that’s the case, then this is the perfect breaking into data science course for you! Today’s job market is far from perfect. Not long ago, tech companies laid off thousands of employees. Hundreds of candidates compete for the same position. So, your best chance of landing your dream job as a data scientist or data analyst is to perform extremely well during the recruitment process. This is far from trivial, especially if you don’t have a senior mentor who can advise you how to get a data science job. This is precisely what this course offers. Get on the fast track by taking this data science interview prep training. The course author is none other than the famous YouTube personality Ken Jee, a senior data scientist with decade-long experience. Learn how to enhance your resume, how to create an impactful data science portfolio, how to interview confidently, and most importantly how to become a data scientist. This training is suitable for graduates and young professionals who want to find their first data science opportunity. In addition, the course can be highly beneficial for analysts who have been on the job for a few years but still feel like they can improve their interviewing and job-hunting skills. The bonus content section of the Starting a job in data science course is particularly interesting for those of you willing to go the extra mile. It contains several interviews with experience data scientists and recruiters who give you an inside look and help you understand how you need to think to land a job in data science. Naturally, this isn't the only ‘how to start a career in data science’ course available online; numerous other programs teach similar skills. However, over time, this training has distinguished itself as one of the most popular choices. Why is that? 1. Content quality The course offers a structured learning journey covering the entire job-hunting process. Ken Jee has prepared dynamic lessons that get to the point and share his findings in a time-efficient and effective way. Each lesson is designed to prevent crucial mistakes during your job search. 2. Instructor Ken Jee has hundreds of thousands of subscribers on YouTube. He is one of the most popular voices among data influencers and has had numerous conversations with recruiters and people working in the industry. He has helped many people launch their data science career. Today, you can learn from his experience and get invaluable advice from a senior data scientist willing to be your mentor. 3. Downloadable materials Access valuable resources you can use as a reference at any point of your job hunting journey. Course notes, bonus interviews, resume and cover letter templates, reach out templates, interview questions and answers – everything is included inside. Click the ‘Buy now’ button and start this amazing job hunting journey today! Make an investment now that could change your entire career.

Prerequisites

  • No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course.

Advanced preparation

  • None

Curriculum

52 lessons 54 exercises 3 exams
  • 1. Course Intro: What Is Data Science
    13 min
    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.
    13 min
    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 Free
    The Data Science Knowledge You Need Free
    Types of Data Science Roles Free
    The Interview Process Structure Free
    What Interviewers Look For Free
    How to Get the Most Free
    Exercise Free
  • 2. The Project Portfolio
    26 min
    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.
    26 min
    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 Free
    What Is a Data Science Project Free
    The Projects You Should Do Free
    How to Differentiate Your Projects Free
    Where to Showcase Your Projects Free
    Best Github Practices Free
    Kaggle Profile Free
    Exercise Free
  • 3. The Resume
    13 min
    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.
    13 min
    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
    Exercise
  • 4. Get an Interview
    10 min
    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.
    10 min
    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
    Exercise
    Practice exam
  • 5. The Phone Interview
    5 min
    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.
    5 min
    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
    Exercise
  • 6. The Take-Home Test
    8 min
    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.
    8 min
    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
    Exercise
  • 7. The In-Person Interview
    10 min
    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.
    10 min
    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.
    Intro to the In-Person Interview: What to Expect
    Ace the Behavioral Interview
    Technical Interviewing
    Following Up
    The Briefcase Method
    Exercise
  • 8. Bonus Content: Interview with Successful Data Scientists
    159 min
    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.
    159 min
    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
  • 9. Bonus Downloadable Materials
    3 min
    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.
    3 min
    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
    Practice exam
  • 10. Course exam
    20 min
    20 min
    Course exam

Free lessons

Course Overview

1.1 Course Overview

2 min

The Data Science Knowledge You Need

1.2 The Data Science Knowledge You Need

2 min

Types of Data Science Roles

1.3 Types of Data Science Roles

3 min

The Interview Process Structure

1.4 The Interview Process Structure

2 min

What Interviewers Look For

1.5 What Interviewers Look For

2 min

How to Get the Most

1.6 How to Get the Most

2 min

Start for free

4.8

Based on 862 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

96%

of our students recommend

365 Data Science.

$29,000

average salary increase

after moving to an AI and data science career

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice exams
  • AI mock interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice exams

Track your progress and solidify your knowledge with regular practice exams.

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AI mock interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.