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David Miller

3y ago

Accountant → Data Scientist | Writing about the business of data science. Helping you create impact with data and machine learning.

The Dead Simple 5 Step Process To Master Data Science Faster

The biggest obstacle I faced in changing my career from accounting to data science?

Practicing daily consistency.

Until I started learning in public on Twitter. Twitter is my magic pill for turning rigorous study into a fun, shared experience. If you're not convinced, here's a simple 5-step process to skyrocket your learning curve.

Step 1: Read about 1 concept

What's the secret to defining how big "one concept" should be?

Start small.

On Day 1 the concept might be Python data types. On Day 100 the concept will be implementing a neural network from scratch.

Step 2: Write down 1 way to apply that knowledge

The blank page is a death sentence for focus and progress.

Prove your organization and diligence by writing down exactly what you plan to do the next day.

Step 3: Go to bed, wake up, do it

If you're like me, you stay up way too late and waste half your morning.

A simple mindset shift that's worked for me is to turn sleep into a hobby. Don't think of a bedtime routine as something you have to do. Start looking forward to a good night's sleep as something you enjoy.

Wake up early, full of energy, and lock in on your task until it's complete.

Step 4: Tweet about it

You don't understand a topic unless you can teach it to a 3rd grader.

Lucky for you - there's an audience of 300+ million eager to learn in simple, bite-sized increments.

Take advantage by synthesizing your knowledge with tweets and images.

Step 5: Repeat

The point of the game is not to win, it's to never stop playing.

Most of us know that consistency is the secret sauce, and yet we still fail to practice it. Twitter made me more consistent, I hope it works for you too.

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