Data Scientist Career Path & Resources

There is a global shortage of data scientists in the industry! Enter the world of stats, maths and data & bring valuable insights to the world's top corporations!

Browse Data Science experts

Why should you become a
Data Scientist?

Data Scientist

Data Scientists are more in-demand than ever! While many folks in the data space try to get their hands dirty with AI and Machine Learning, they are leaving a big gap in the job market for data analysts and scientists.

In the US today, over 3,000 new job postings for Data Scientists are found. The space is growing and getting more open for career changers.

A Data Scientist can expect to be among the top range of tech salaries. Well into the six-figures in the US on average, and at top ranges all around the world!

Best books to build Data Science understanding.

A well-written and thorough book can be an amazing path to build deeper understanding and also act as a handbook as you discover the internet's vast resources.

These are our and our experts top picks to get started building career-relevant skills.

Python Data Science Handbook

Python Data Science Handbook

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.

Introduction to Statistical learning

Introduction to Statistical learning

ISL is a fundamental book and popular amongst undergrad and grad students for its clarity and simplicity with explaining concepts. The math required to understand the book is kept to a minimum, making it unique in its format.

Head First Statistics

Head First Statistics

Whether you're a student, a professional, or just curious about statistical analysis, Head First's brain-friendly formula helps you get a firm grasp of statistics so you can understand key points and actually use them. Learn to present data visually with charts and plots; discover the difference between taking the average with mean, median, and mode, and why it's important; learn how to calculate probability and expectation; and much more.

Find more resources

Courses to deepen your Data Science skills.

These days, courses are no longer a sequence of videos. They are usually accompanied by projects and a learning community, keeping you accountable and on the path.

Our experts recommend these courses, from free selections to paid programs.

Fast.ai

Fast.ai

With the motto "making neural nets uncool again", fast.ai is a straight-to-the-point practical (and free!) course that is valued by Machine Learning enthusiasts and engineers worldwide. Fast.ai comes with a community, many practical projects and great content.

MIT Open: Linear Algebra

MIT Open: Linear Algebra

Math is the foundation of Machine Learning and much needed if you need to work on the inner logic of its systems. Senior engineers are encouraged to propose and submit their own papers – and getting your LinAlg back in order is a must for that.

Data Science A-Z

Data Science A-Z

Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!

Successfully perform all steps in a complex Data Science project, read statistical software output for created models and receive professional step-by-step coaching in the space of Data Science

Harvard Online Data Science

Harvard Online Data Science

To become an expert data scientist you need practice and experience. By completing this course you will get an opportunity to apply and gain knowledge in R data analysis. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning.

Find more resources

Get the guidance you need with a
Data Science mentor

There is no better source of accountability and motivation than having a personal mentor. What used to be impossible to find is now just two clicks away! All mentors are vetted & hands-on!

Only 1 Spot Left
$80 / month
 Quick Responder
Tech Lead, Data Science at UChicago Urban Labs
5.0 stars
5.0 (2 reviews)
  Chat
2 x Calls
Hello there! I am a Technical Lead and Lead Data Scientist at the University of Chicago Urban Labs. I am passionate about leveraging technology to solve human problems and to advance social good, and have many years of experience in hiring for analytic and data science teams, and extensive programming …
Only 2 Spots Left
$240 / month
Freelance Data Scientist and Data Science Instructor at Fiverr, Data Society
5.0 stars
5.0 (1 review)
  Chat
2 x Calls
Tasks
Elliot is a freelance Data Scientist with 6+ year of experience. He co-founded a soccer computer vision company that secured $250,000 of funding. Elliot was a leader in creating computer vision products for the vertical jump and juggling a soccer ball. His sports algorithms have generated over $100,000 of profit …
Only 1 Spot Left
$110 / month
Researcher at Fondazione Edmund Mach
5.0 stars
5.0 (3 reviews)
  Chat
2 x Calls
Tasks
Data scientist experienced (4+ years) in the prototyping and development of data processing and machine/deep learning algorithms with a focus on remote sensing data. Passionate about use of remote sensing data to gain a better understanding of the environment and to improve the management of natural resources and human activities. …
Only 2 Spots Left
$120 / month
 Quick Responder
Data Analytics Leader of the Year 2020 | Speaker | Writer | Mentor | Coach at Absa
5.0 stars
5.0 (3 reviews)
  Chat
1 x Call
Tasks
Named 2020 Datacon Africa Data Analytics Leader of the Year, MH has 15 years in data analytics experience across fraud prevention, credit risk & operations to digital & marketing, dealing with very practical business realities, leading others and successfully guiding strategy through collaborative data storytelling, incorporating a range of business …

Browse all Data Science mentors

The Data Science must-reads you shouldn't miss.

Key articles and posts of industry experts can help you get a better picture of what you are getting into.

In our opinion, these are some must-reads you really shouldn't miss.

Simple Reinforcement Learning with Tensorflow

This 8-part series by Arthur Juliani (Deep RL researcher at Unity) is an amazing entry point to the new and mysterious advancements of Reinforcement Learning, perfectly suited for folks coming from other topics in Machine Learning.

Read more

Karpathy on "Software 2.0"

Andrej Karpathy is the Director of AI at Tesla. Before that, though, he authored this blog post in 2017 talking about Deep Learning as "Software 2.0" of some sort. A must-read if you ever want to have another way of thinking about ML.

Read more

Opportunities and projects in the Data Science space.

In the end, advancing your career is all about getting the right opportunities at the right time and a good portion of luck.

These are some interesting things going on in the Data Science space and you probably don't want to miss them.

Specialize with Kaggle

It wouldn't be the first time I've seen someone get hired over good Kaggle results! Kaggle competitions are data science and ML projects that are graded through a public leaderboard. A good place on the leaderboard shows that you know your craft and can apply your knowledge to real-life problems!

Read more

Get into open-source

The world thrives on open-source software and this is no exception. Core contributors to core libraries and fast-growing tech like React, scikit-learn, Bitcoin and TensorFlow prove their abilities by going into the inner workings of a framework to improve it. For many companies, that's a desirable skill!

These projects are always looking for fresh faces. Grab an issue from the issue board or review a PR to get started!

Read more

Related career paths

If you like Data Science, you might also be interested in these other career paths.

Get the help you need & advance your career

Ready to enter the competitive world of Data Science? Our mentors can help, whenever you are getting lost!