Survice and Thrive in Your Data Science Career -- In the Age of AI

4.9

(7 ratings)

·

8 Days

·

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.

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

This course includes

6 interactive live sessions

Lifetime access to course materials

4 in-depth lessons

Direct access to instructor

Projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Apr 22—Apr 23

    Week dates are set to instructor's time zone

    Events

    • Apr

      22

      [Session 1] Advance Your Data Science Career

      Sat, Apr 22, 3:30 PM - 6:30 PM UTC

    • Apr

      22

      [Session 2] Advance Your Data Science Career

      Sat, Apr 22, 8:00 PM - 11:00 PM UTC

    Modules

    • Day 1: Slides and Workbooks

    • Week2 - Slides and worksheets

  • Week 2

    Apr 24—Apr 29

    Week dates are set to instructor's time zone

    Events

    • Apr

      29

      [Session 3] Advance Your Data Science Career

      Sat, Apr 29, 3:30 PM - 6:30 PM UTC

    • Apr

      29

      [Session 4] Advance Your Data Science Career

      Sat, Apr 29, 8:00 PM - 11:00 PM UTC

  • Post-Course

    Events

    • May

      27

      DS Career Follow-up Q&A 01

      Sat, May 27, 3:30 PM - 4:30 PM UTC

    • Sep

      23

      Data Science Career Q&A

      Sat, Sep 23, 3:30 PM - 4:30 PM UTC

4.9

(7 ratings)

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Meet your instructor

Daliana Liu

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/


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Learning is better with cohorts

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

Frequently Asked Questions

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