Published Mar 16, 2020
Building a career in Data Science
Emily Robinson, co-author of "Build a Career in Data Science," shares expert strategies for navigating the data science job market, tackling workplace challenges, and fostering career growth through continuous learning and adaptation, emphasizing the importance of portfolios, networking, and effective communication.

Topics covered
Popular Clips
Questions from this episode
- Asked by 50 people
- Asked by 21 people
Episode Highlights
Related Episodes


When data leakage turns into a flood of trouble
Answers 383 questions

Data science for intuitive user experiences
Answers 383 questions

Machine learning at small organizations
Answers 383 questions

What exactly is "data science" these days?
Answers 383 questions

Building a data team
Answers 383 questions

Escaping the "dark ages" of AI infrastructure
Answers 383 questions

AI code that facilitates good science
Answers 383 questions

Building the world's most popular data science platform
Answers 383 questions

Open source data labeling tools
Answers 383 questions

The ins and outs of open source for AI
Answers 383 questions

Getting into data science and AI
Answers 383 questions

Creating instruction tuned models
Answers 383 questions

R, Data Science, & Computational Biology
Answers 383 questions

Accelerated data science with a Kaggle grandmaster
Answers 383 questions

scikit-learn & data science you own
Answers 383 questions
