How long does it take to complete Craft your Attention-Grabbing Resumé for a Career Change into Data, Tech, and AI?

The total duration of the course is approximately 1 hours 7 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Does this course include hands-on projects?

Yes, the curriculum is highly practical and includes hands-on projects. Completing these will help you build a portfolio of work to demonstrate your new skills.

Creative Career

Craft your Attention-Grabbing Resumé for a Career Change into Data, Tech, and AI

Name: Craft your Attention-Grabbing Resumé for a Career Change into Data, Tech, and AI
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Course Insight

Suitable for beginner learners. This course serves as an entry point into Creative Career, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced LearningProject-BasedCareer Transition Oriented

SKILLS TO
MASTER

Creative Career Basics

Fundamental principles and concepts

Practical Application

Real-world project implementation

Best Practices

Industry standard workflows and guidelines

Problem Solving

Core Concepts

Implementation

Workflow Integration

Optimization

Careers:Relevant for professionals pursuing roles within Creative Career.

Quick Facts

1 hours 7 minutes

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

Are you looking to transition into a career in data science but unsure how to showcase your skills on your resume?.
This class is designed for professionals who have important tech skills but need help translating them into the "tech lingo" needed to land a data science job..
Changing careers can be overwhelming, but many people don't realize how much relevant experience they already have. This class will help you identify and highlight your transferable skills on your resume, making it more appealing to potential employers in the data field. Whether you're interested in data science, data engineering, business analytics, data analytics, or machine learning, this class will provide valuable advice for all of these areas..
As a bonus, this class also comes with a free mini e-book, "Craft Great Resumé Points for Data Jobs" that will guide you through the structure and tips for each section of your resume, including:.
We'll also cover key skills you need to add to your skill set in addition to the knowledge and data skills you already have. By the end of this class, you will have a polished resume that will help you stand out from the competition and land your dream job in the data field. Enrol now and take the first step towards your career transition!.
The project section contains the e-book "Craft Great Resumé Points for Data Jobs".
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Who am I?.
Jesper Dramsch is a machine learning researcher working between physical data and deep learning..
I am trained as a geophysicist and shifted into Python programming, data science and machine learning research during work towards a PhD. During that time I created educational notebooks on the machine learning contest website Kaggle (part of Alphabet/Google) and reached rank 81 worldwide. My top notebook has been viewed over 64,000 times at this point. Additionally, I have taught Python, machine learning and data science across the world in companies including Shell, the UK government, universities and several mid-sized companies. As a little pick-me-up in 2020, I have finished the IBM Data Science certification in under 48h..
-----------------------------------------Other Useful Links:.
My website & blog - https://dramsch.netThe weekly newsletter - https://dramsch.net.
ewsletter.
Twitter - https://www.dramsch.net/twitterLinkedin - https://www.dramsch.net/linkedinYoutube - https://www.dramsch.net/youtube.
Camera gear - https://www.dramsch.net/r/gear.