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

with Ken Jee
4.8/5
(786)

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

4 hours of content 13687 students

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 4 hours of content
  • 54 Interactive exercises
  • 14 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

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

A course by Ken Jee

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 4 hours of content
  • 54 Interactive exercises
  • 14 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

$99.00

Lifetime access

Buy now

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 4 hours of content
  • 54 Interactive exercises
  • 14 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

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

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

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.

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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

Curriculum

  • 1. Course Intro: What Is Data Science
    6 Lessons 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
    2 min
    The Data Science Knowledge You Need
    2 min
    Types of Data Science Roles
    3 min
    The Interview Process Structure
    2 min
    What Interviewers Look For
    2 min
    How to Get the Most
    2 min
  • 2. The Project Portfolio
    7 Lessons 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
    2 min
    What Is a Data Science Project
    2 min
    The Projects You Should Do
    2 min
    How to Differentiate Your Projects
    3 min
    Where to Showcase Your Projects
    1 min
    Where to Showcase Your Projects
    7 min
    Kaggle Profile
    9 min
  • 3. The Resume
    7 Lessons 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
    1 min
    How to Structure Your Resume
    4 min
    How to Write about Work and Projects
    2 min
    Customize your Resume
    1 min
    Your Virtual Resume
    1 min
    Resume Checklist
    2 min
    The Cover Letter
    2 min
  • 4. Get an Interview
    6 Lessons 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
    1 min
    How Candidates are Selected
    1 min
    Networking for Data Scientists
    4 min
    Leveraging Your Resources
    1 min
    Informational Interviews
    2 min
    Reaching out to Recruiters
    1 min
  • 5. The Phone Interview
    4 Lessons 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
    1 min
    What to Expect
    1 min
    How to Prepare
    2 min
    How to Succeed
    1 min
  • 6. The Take-Home Test
    4 Lessons 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
    1 min
    Dealing with Data Sets
    4 min
    Coding Quizzes
    2 min
    Written Test
    1 min
  • 7. The In-Person Interview
    5 Lessons 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.

    What to Expect
    1 min
    Ace the Behavioral Interview
    3 min
    Technical Interviewing
    3 min
    Following Up
    1 min
    The Briefcase Method
    2 min
  • 8. Bonus Content: Interview with Successful Data Scientists
    10 Lessons 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
    16 min
    Elevator Pitch Outline and Examples
    6 min
    Jaemin Interview
    14 min
    Jay Interview
    26 min
    Jefferson Interview
    38 min
    Sheng Interview
    34 min
    Glassdoor Findings
    4 min
    LinkedIn Bonus Content
    6 min
    Bonus Content: Portfolio Website
    13 min
    Bonus Content: Star Storytelling Technique
    2 min
  • 9. Bonus Downloadable Materials
    3 Lessons 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 Read now
    1 min
    Reach Out Templates Read now
    1 min
    Interview Questions Read now
    1 min

Topics

Theorydata analysisCareer development

Tools & Technologies

theory

Course Requirements

  • 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.

Who Should Take This Course?

Level of difficulty: Beginner

  • People who need data science interview prep
  • Aspiring data scientists and data analysts
  • Graduate students who want to land an entry-level data science role

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Ken Jee

Ken Jee

Content Creator on

4 Courses

2527 Reviews

38552 Students

Ken has held data science positions in companies of all sizes - from startups to Fortune 100 organizations. He is a Senior Data Scientist who is very passionate about content creation. Thanks to his friendly delivery style and willingness to share knowledge, Ken Jee is the perfect role model for anyone who wants to start a career in data science. We strongly recommend watching some of Ken’s most popular YouTube videos, such as “How I would Learn Data Science (If I Had to Start Over)”. If you are into learning and sharing your progress with others, you can also check out Ken’s #66DaysOfData hashtag on LinkedIn.

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