EBOOK

The Ultimate Guide to a Career in Data Science

Atlan case study

Everything you need to know about starting a career in data science

Featuring: Interviews with top data professionals, overview of career opportunities and list of must-read resources.

Want a career in data science...

but don't know where to start?

We know it can be confusing, especially with new data science tools, technology and terminology cropping up everyday.

That's why we compiled this step-by-step guide on how you can get started in data science. This guide is meant for anyone interested in data science – regardless of age or prior experience.

OVERVIEW

Here's what you can expect to learn in this ebook.

Prologue

Why should you care about data science?

Chapter 1

What is data science?

Chapter 2

Who is using data science today?

Chapter 3

Conversations with real data scientists

Chapter 4

How can you prepare for the future of work?

Chapter 5

Top resources for exploring data science

Prologue

Why should you care about data science?

Chapter 1

What is data science?

Chapter 2

Who is using data science today?

Chapter 3

Conversations with real data scientists

Chapter 4

How can you prepare for the future of work?

Chapter 5

Top resources for exploring data science

FEATURED INTERVIEWS

Discover practical advice and insights from real-life data professionals

Learn about their data science journey, what their day-to-day work looks like and what are the essential skills needed to succeed in the field.

...It's okay if you're not an engineer. People come to data science from different backgrounds because it’s a rapidly evolving field. And data teams today are not made entirely of data scientists and engineers.”

Shilpa Arora,

Principal Data Scientist
Atlan

“If you think you are not particularly strong with an aspect of math, then it’s okay. It's more important to be a well-rounded person with good business understanding as well as communication skills, a growth mindset and adaptability.”

Usha Rengaraju,

Data Science Consultant

Data scientists are problem solvers, and their job is to identify a problem, solve it and improve an aspect of the field they work in. Problems arise in every field and a data scientist can use unique methods to create new solutions.”

Shweta Homji,

Founder & CEO
Cartedo

Gear up for the future of work

Build your future skills with on-the-job tips and insights from senior C-suite leaders and data professionals from...

Keep learning in our Humans of Data webinar series

Episode 1

How Atlan transitioned to 100% remote and cloud-first

Himanshu
Himanshu

Himanshu Sikaria

Head of Data Science at Atlan

Formerly a Data Analyst at SocialCops. He founded Startify, an online incubation portal for early-stage ventures that got acquired in 2016.

Here's what to expect:

  • What triggered Atlan's move to the cloud
  • Maintaining productivity, agility & morale in remote teams
  • 3 short-term remote strategies for data leaders
  • Watch the Episode

    Episode 2

    Building a data science strategy in the COVID-19 era

    Addhyan
    Addhyan

    Addhyan Pandey

    Director of Data Science at Cars.com

    Addhyan leads efforts to improve the company's relevance, pricing and advertisements strategies.

    Here's what to expect:

  • How his team responded to COVID-19 by aiding business
  • Building a short-term and long-term data science strategy
  • Actionable tips for data leaders to implement in their team
  • Watch the Episode