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Resume Mastery for Data Science and Data Analytics
Build a resume that works. Get interviews. Land the job.
5.014 reviews46 learners
- Beginner
- 2h 3m video
- 31 lectures
- English
- Captions
- Updated 2025
Taught by Suzy Chen
- 2h 3m of on-demand video
- 31 lectures across 7 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
7 sections31 lectures2h 3m total
- Introduction6:40
- Why No Interview Calls?3:26
- The Myth of The Resume5:52
- Who Will Read Your Resume?3:42
- Understanding Data Science & Analytics Job Roles4:03
- Business Intelligence Analyst Role3:49
- Data Analyst Role3:54
- Data Scientist & Machine Learning Engineer4:16
- Resume Structure4:01
- ATS-Friendly Resume3:52
- Principal 1 - Above the Fold2:36
- Resume Structure Example - Working Professional5:21
- Resume Structure Example - New Graduates5:55
- Resume Sections3:07
- Summary Section5:04
- Technical Skills Section4:32
- Principal 2 - JD Focused6:24
- Experience Section4:06
- Principal 3 - Sword2:11
- Experience Section Example 27:13
- Multiple Experiences2:32
- Projects Section4:18
- Education Section2:36
- What Not to Include2:42
- Final Check2:59
- Put It Together - Experienced Candidates4:12
- Put It Together - New Graduates4:32
About this course
Struggling to get interviews for data roles, even after applying to dozens of jobs? In today’s competitive job market, a well-written resume is your most powerful tool to stand out. This course is designed specifically for aspiring data analysts and data scientists who want to land interviews by building a resume that speaks directly to recruiters, hiring managers and applicant tracking systems (ATS). Whether you're a new graduate, a career switcher, or a working professional in data science, machine learning or …
Before you start
- No prior experience in resume writing is required. This course is beginner-friendly and designed to guide you step by step. You should have some background or interest in data analytics or data science (e.g., through school, bootcamp, self-study, or professional experience). Access to a word processor (like Microsoft Word or Google Docs) to build and revise your resume.
Who it’s for
- Aspiring data analysts and data scientists who want to build a resume that gets interviews
- New graduates from data-related programs looking to land their first role in analytics or data science
- Career switchers transitioning into the data field and needing to draft the data-related resume
- Anyone struggling to tailor their resume to job descriptions or pass ATS screenings in the data job market
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