Start & Grow Your Career in Machine Learning/Data Science
To cross that bridge from data scientist to machine learning, you should know how to prepare data, as well as have good communication skills and business knowledge, and be proficient at model building and visualization. It takes many team members to make AI work, allowing for specializing in any number of areas. Get Course
What you'll learn
- Introduction to machine learning
- How to prepare for coding, technical, behavioral, and on-site interviews
- How to apply for full-time jobs and internships
- How to prepare a resume
- How to navigate internships
- Examples of machine learning careers
- How to negotiate a job offer
- Machine learning resources
- Interviewing tips
Welcome, and thanks for choosing How to Start & Grow Your Career in Machine Learning/Data Science!
With companies in almost every industry finding ways to adopt machine learning, the demand for machine learning engineers and developers is higher than ever. Now is the best time to start considering a career in machine learning, and this course is here to guide you.
This course is designed to provide you with resources and tips for getting that job and growing the career you desire.
We provide tips from personal interview experiences and advice on how to pass different types of interviews with some of the hottest tech companies, such as Google, Qualcomm, Facebook, Etsy, Tesla, Apple, Samsung, Intel, and more.
We hope you will come away from this course with the knowledge and confidence to navigate the job hunt, interviews, and industry jobs.
***NOTE This course reflects the instructor's personal experiences with US-based companies. However, she has also worked overseas, and if there is a high interest in international opportunities, we will consider adding additional FREE updates to this course about international experiences.