Build Your Data Science Portfolio
Best practices and strategies to launch your data science career.
Build Your Data Science Portfolio
Best practices and strategies to launch your data science career.
What you'll learn—and how you can apply it
By the end of this hands-on course, you’ll understand:
Why you need a portfolio, best practices for developing a data science portfolio, what a good data science portfolio looks like, how to start a data science project and get data sets, how to present yourself to stand out as a candidate, and how to showcase your portfolio
And you’ll be able to:
Curate your projects and online presence to attract hiring managers
Find useful data sets to start your project
Evaluate data science portfolios
Develop a portfolio that follows best practices
Tailor the portfolio to get your dream data science job
Description
This course is designed to prepare data scientists to stand out when applying for their first data science role. We will cover portfolio development best practices to demonstrate you have the right skills and experience and explain how to present yourself and your achievements (LinkedIn, certifications, personal site) so that hiring managers and recruiters will notice you. We will also explore how to use the Anaconda notebooks and data catalog to quick-start your data science project and find useful data sets.
This training is for you because...
- You want an overview of the data science industry and its career trends.
- You’ve taken some data science courses but don’t have professional experience.
- You want to switch careers.
- You want to become a data scientist.
Prerequisites
- You’ve heard of high-level data science concepts, such as Notebooks, Python, data analysis, data cleaning, data visualization, data engineering, and machine learning.
- You’ve studied one or more of those areas and are ready to start building your portfolio.
Instructor
Jose is a Staff Software Engineer at Anaconda. He received his Ph.D. from the University of Michigan Naval Architecture and Marine Engineering (NA&ME) department and holds two MSE degrees in Aerospace Engineering and NA&ME.
Curriculum
15 Lessons
Getting started with Anaconda Notebooks
Author Introduction
Course Overview
Data Science Portfolio Basics
Showcase Your Skills
Showcase Your Skills Continued
Anaconda Notebooks Overview
Present Your Data Science Project with Notebooks
Tell a Compelling Story With Data
Storyboarding
Storyboarding Example: Wind Turbine Dashboard
Storyboarding Exercise
Options for Sharing Code
Conclusion
End of Course Survey
Instructor
Jose is a Staff Software Engineer at Anaconda. He received his Ph.D. from the University of Michigan Naval Architecture and Marine Engineering (NA&ME) department and holds two MSE degrees in Aerospace Engineering and NA&ME.