Today's students are savvy

Contents

• Introduction Introduction

  • Data science: How did we get here?

    1m 2s
• Roger Magoulas Roger Magoulas

  • The changing data landscape

    4m 10s
  • The invention of "Big Data"

    4m 15s
  • What data scientists should know

    6m 59s
  • Building teams—and consensus

    8m 50s
  • The future of data science

    2m 58s
• Ben Lorica Ben Lorica

  • From academia to hedge fund

    4m 14s
  • Tips for presenting data

    4m 11s
  • Trend spotting: Deep learning

    3m 32s
  • Surprises in data-science evolution

    2m 23s
  • AI and the "crown jewel" of data

    5m 5s
  • Flexibility wins the day

    5m 16s
• Danah Boyd Danah Boyd

  • Aha moment: A reckoning

    7m 35s
  • Ask smart questions

    7m 23s
  • Collective learning

    5m 2s
  • Tough conversations

    12m 42s
  • Power dynamics at play

    3m 54s
  • Building our community

    6m 51s
• Jonathan Goldman Jonathan Goldman

  • LinkedIn's first data team

    6m 14s
  • A culture of curiosity

    8m 20s
  • People you may know

    11m 56s
  • Qualities of a good data scientist

    5m 11s
  • How to foster "scrappiness"

    12m 10s
  • Storytelling and inclusivity

    5m 39s
  • The evolution of data science

    3m 58s
  • How do we tackle the BIG issues?

    12m 5s
• Todd Park Todd Park

  • Using data in healthcare

    7m 3s
  • "The Mozart of software"

    6m 23s
  • When your country calls

    8m 27s
  • No budget, no team, no authority

    12m 11s
  • Access to your own data

    11m 24s
  • Never let a crisis go to waste

    14m 14s
  • Give the President a hug

    1m 37s
• Monica Rogati Monica Rogati

  • Playing with data

    5m 49s
  • The power of a single data scientist

    17m 9s
  • Be a data skeptic

    10m 18s
  • Define your own problem

    7m 13s
  • AI and the hierarchy of needs

    11m 21s
  • Wait ... what if this works?!

    18m 36s
  • Five minutes with the President

    3m 52s
• Ya Xu Ya Xu

  • Constraint sparks creativity

    16m
  • A love of problem-solving

    9m 15s
  • Different roles in data

    11m 21s
  • Learning to love conflict

    6m 7s
  • Data delights

    6m 34s
  • AI and your career

    7m 50s
  • Responsible data

    7m 37s
• Bradley Voytek Bradley Voytek

  • Early days at Uber

    7m 42s
  • Building the “clever” muscle

    10m 11s
  • Where’s the field going?

    6m 46s
  • Find a side hustle

    11m 39s
  • A resumé of failures

    9m 40s
  • How do you build tenacity?

    4m
  • Data that “helps without harm”

    9m 8s
  • Rebuilding trust in science

    2m 12s
• Megan Smith Megan Smith

  • The journey to Silicon Valley

    10m 49s
  • Enabling Google engineers

    5m 52s
  • Identifying talent

    12m 42s
  • Techies in the White House

    7m 14s
  • Relentless optimism

    8m 24s
  • Practice makes permanent

    11m 11s
• Chris Wiggins Chris Wiggins

  • Today's students are savvy

    5m 44s
  • Data via biology

    16m 48s
  • Finding weird opportunities

    7m 59s
  • Shut up and listen

    5m 41s
  • Community matters

    5m 21s
  • Power and ethics

    10m 23s
  • How data happened

    10m 49s
  • 5 minutes with the President

    3m 12s