Advance Your Data Science Career with Proven Strategies
9.7
(7 ratings)
2 Weeks
·Cohort-based Course
Want to build influence, show impact, and "sell" your projects? Learn the strategies I used to get a promotion and find your own path.
Advance Your Data Science Career with Proven Strategies
9.7
(7 ratings)
2 Weeks
·Cohort-based Course
Want to build influence, show impact, and "sell" your projects? Learn the strategies I used to get a promotion and find your own path.
Hosted by
Daliana Liu
Daliana is an ex-Amazon senior data scientist with 7+ years of experience
Course overview
Lessons learned from 7 years at Amazon and mentoring 20+ data scientists
I used to feel lost in my early career, and after 7 years, I've coached many people getting to the next level of their career, and I'll share those advice with you on how to build more influence at work, take on bigger project, manage stakeholders, and get the recognition you deserve.
I'll teach four sessions during two Saturdays (April 22, April 29) from 8:30am to 4pm PT with live workshops and personalized Q&As. You will also be part of an exclusive Slack group to stay in touch with each other, and I'll host a monthly office hour after the course ends for 3 months.
Who is this course for data scientists who:
01
Not sure how to show impact of your work and build influence to get a promotion
02
Want to be effective and confident when communicating with stakeholders and giving presentations.
03
Have challenges collaborating with PM, engineers, and want to build trust with their managers.
04
Feel lost in their career, not sure which path fits them and how to go to the next level.
Topics covered
How to be effective and persuasive in communication
- How to "sell" projects and convince your stakeholders
- How to give a presentation that drives change
- How to tell stories with data
- How to lead meetings with confidence
- How to work with PMs and engineers
How to ask for a promotion (and actually get it)
- How to build influence in your team
- How to earn trust from your manager
- How to ask for high-impact projects
- Exactly what to say when you want a promotion (and what you shouldn't say)
How to iterate data science projects and deliver results
- How to deal with ambiguity
- How to know if your work is "good enough"
- How to negotiate deadlines
How to find my own career path
- Should I be a manager or IC
- How do I have an edge in my career
- How to find out what I really want to do
Advance Your Data Science Career with Proven Strategies
Be the first to know about upcoming cohorts
Advance Your Data Science Career with Proven Strategies
Meet your instructor
Daliana Liu
I'm an ex-Amazon Senior Data Scientist with 7 years of experience in data science & ML. I have 200K followers on Linkedin talking about data science and career. I host a top 200 US tech podcast "the data scientist show".
I have a Master degree from UC-Irvine in Statistics. I have worked on various domain in data science&ML: I built the first time series forecasting model for advertising at Boingo Wireless; analyzed and helped launch over 100 A/B tests at Amazon.com and have a US patent on experimentation with my colleagues. I built ML models for AWS customers from various industries to accelerate their business and products.
When I started my career, I felt lost and struggled to meet expectations and had fears that I wasn't good enough. I had to figure out how to navigate my own career and learned how to find allies and sponsors for my career, and eventually got promoted twice in Amazon and became a senior DS leading high-impact projects and coached 20+ people to help them grow their career and find their paths.
Now, I'm passionate about sharing what has helped me and my mentees with other data scientists who are early in their career and not sure what they are doing. After this 2-day course, you'll learn how to communicate with stakeholders, how to iterate projects and have impact on your team, and how to build influence and get promoted.
My career advice has been featured on Amazon Science Blog and VentureBeat.
My Linkedin:
https://www.linkedin.com/in/dalianaliu/
Course syllabus
01
How to manage projects
- How to negotiate timeline
- How to iterate data science project to success
- How to lead new and challenging projects (that requires skills you didn't have)
02
How to collaborate with stakeholders
- How to set the right expectations
- How to say 'no' to unreasonable requests
- How to get buy-in
03
How to give a persuasive presentation
- How to "sell" your project
- Things you should do before the presentation
- How to use data to tell stories and convince your audience
04
How to communicate effectively with managers, colleagues, PMs, and engineers
- How to manage up
- How to nudge your colleagues when they fail to deliver
- How to remove frictions when collaborating with PMs and engineers
05
How to get a promotion and a raise
- How to build influence in your team
- How to show impact from your projects
- What to say and what *not* to say during the promotion conversation
06
How to create your own career path
- How to have an edge and differentiate yourself from AI-based data science tools
- How to decide if you want to be a manager or IC
- How to choose a career path that makes you feel fulfilled
Be the first to know about upcoming cohorts
Advance Your Data Science Career with Proven Strategies
Learning is better with cohorts
Active learning, not passive watching
This course focuses on live workshops and hands-on projects
Learn with a cohort of peers
You’ll be learning in public through breakout rooms and an engaged community
Learn with a cohort of peers
Surround yourself with like-minded people who want to grow alongside you