Course Information
Course Overview
Learn The Mindset, Hiring Process, Resumes, Interviews and Systems Behind Getting Hired In Analytics
You may already have technical skills.
You may have completed courses or built projects.
You may even have a portfolio.
Yet many capable candidates still struggle to get interviews, progress past early stages, or understand why they are rejected.
This course focuses on the part of the job hunt most people never learn:
How hiring decisions are actually made and how candidates are evaluated long before an offer is issued.
Rather than relying on luck or volume-based applications, you will learn a structured, repeatable approach to positioning yourself clearly and confidently in the hiring process for data analytics roles.
ABOUT YOUR INSTRUCTOR
My name is Jed Guinto. I have worked professionally as a data analyst and analytics consultant across corporate, enterprise, government, and large organisational environments.
I have delivered analytics solutions used by executives, managers, operational teams, and external stakeholders. I have also worked closely with hiring managers, recruiters, and analyst teams, giving me direct exposure to how candidates are screened, interviewed, and selected.
In addition to industry experience, I have taught over 300k students worldwide and am a best-selling instructor in analytics education. My courses focus on real hiring expectations, practical workflows, and outcomes that translate directly into employment.
This course is built from that experience.
Instead of applying blindly and waiting, you will learn how to:
Create early conversations before interviews begin
Understand how recruiters interpret resumes and applications
Use AI tools efficiently without producing generic results
Respond to rejection with clarity and direction
Maintain momentum and confidence throughout the job search
This is not motivational content.
It is a practical hiring framework designed for real analytics roles.
WHAT STUDENTS WILL LEARN
PROACTIVE OUTREACH: Learn how to initiate conversations with recruiters and hiring teams instead of relying solely on job boards.
HOW RECRUITING WORKS: Understand applicant tracking systems, screening stages, timelines, and decision points so you can align your efforts correctly.
COMPETITIVE POSITIONING: Learn how to stand out using targeted work samples, structured follow-ups, and a controlled job pipeline.
AI ASSISTED APPLICATIONS: Use AI tools to accelerate research, resumes, cover letters, and preparation while maintaining clarity and authenticity.
INTERVIEW PREPARATION: Learn how to answer technical and behavioural questions with structure, evidence, and confidence.
RESILIENCE AND CONSISTENCY: Build habits and systems that allow you to continue progressing even when outcomes are uncertain.
REQUIREMENTS OR PREREQUISITES
Basic computer skills
Familiarity with Word, Excel, or PowerPoint
Interest in working in data analytics or analyst roles
No degree required
No prior professional experience required
WHO THIS COURSE IS FOR
Career changers entering data analytics
Self-taught analysts seeking their first role
Graduates struggling to convert skills into interviews
Professionals facing repeated rejection without clear feedback
Anyone who wants a structured and realistic approach to the analytics hiring process
Course Content
- 12 section(s)
- 47 lecture(s)
- Section 1 Introduction
- Section 2 Introduction! Let's Get you a Job in Data Analytics!
- Section 3 It Starts with the Mind
- Section 4 Finding Jobs with the Help of AI (ChatGPT)
- Section 5 Most Common Mistakes
- Section 6 Curating your Digital Footprint
- Section 7 Applying for Jobs: Corporate Research, Resumes and Cover Letters
- Section 8 Resume Review
- Section 9 Cover Letter
- Section 10 Preparing and Training for the Interview
- Section 11 Dealing with Outcomes Both Good and Bad
- Section 12 Congratulations
What You’ll Learn
- Understand how analytics hiring works, from screening and resumes to interviews and final decisions., Learn how recruiters evaluate applications and why many qualified candidates are filtered out early., Build a structured job-hunt system instead of relying on luck or mass applications., Improve resumes and cover letters so they align with how hiring managers actually assess candidates., Prepare for interviews with clear, structured answers for both technical and behavioral questions., Maintain consistency, confidence, and momentum throughout the analytics job search.