Launch Your Career in Data Science helps busy people streamline the path to becoming a data scientist.

You'll discover how to shorten the learning curve, future-proof your career, and land a high-paying job in data science.

Learn Data Science in Half the Time helps you shorten the path to data science. We help you skip the non-essential and laser-focus on the skills and tools that will move the needle in your career.

We help time-constrained professionals

You might already see the rising role of data in today's economy. You might already be determined to learn DS and future-proof your career...

Yet it feels like there's a looming mountain of topics you're "supposed" to learn for data science. And with only 24 hours in a day, where do you even begin?

Cloud of Uncertainty
EDS Path of Certainty

Simplify the path to data science helps you connect the dots between DS and real-world business value. You'll learn only the most relevant, commercially-viable tools and best practices.

We skip the non-essential theory and math, and instead take you through the most direct path to applying DS and ML at a professional level.

The Top-Down Strategy flips the traditional approach to learning DS on its head. Instead of spending months on math and theory, we focus on the shortest path to getting your foot in the door.

The Big Picture

Step 1: Start by understanding the big picture

First, learn how all of the moving pieces fit together… Knowing the inputs, outputs, and core steps is the essential to driving real-world value with DS and ML.

Plot Your Path Forward

Step 2: See the DS workflow from start to finish

Next, see the workflow from start to finish. That includes exploratory analysis, data cleaning, feature engineering, and training models with machine learning.

Learn the Right Tools

Step 3: Learn today's most in-demand tools

Don’t start from scratch… Learn the real tools that companies pay top dollar for. Remember, the industry values effectiveness and efficiency above all.

Practice Real-World Projects

Step 4: Hone your skills with end-to-end projects

The best way to master these skills is through realistic projects. Projects allow you to learn “in context” and connect the dots between concept and application.

Build Your DS Portfolio

Step 5: Build a portfolio that proves your ability

A portfolio is the #1 way to prove your skills and win the trust of employers… And as you complete those projects, you’ll be building your portfolio too.

Launch Your Career in DS

Step 6: Launch your high-growth career in DS

There’s always more to learn when it comes to data science… But by following these streamlined steps, you’ll be more than qualified to get your foot in the door.

I was looking for the link between the concepts and the real steps of a data science job. The way you approach the models/techniques is a far better way than long and exhaustive statistical explanations. I feel motivated to keep learning more detailed and complex models. This is the "easy and gentle" way we can learn and apply data science in our day to day problems.

EDS Testimonial

Raphael Paim Financial Analyst