Thread by @TheRealDagsHub

Here’s a cartoon illustration I’ve drawn a while back.

The #MachineLearning Learning Curve

👀🧵👇 See thread below

2/ Starting the learning journey

The hardest part of learning data science is taking that first step to actually start the journey.

3/ Consistency and Accountability

After taking that first step, it may be challenging to maintain the consistency needed to push through with the learning process. And that’s where accountability steps in.

4/ 66 Days of Data

Luckily we have the #66daysofdata by
@KenJee_DS that helps us to maintain public accountability.

As Ken puts it, you just need to:
-Learn or do #datascience for at least 5 minutes a day
-Tweet or post your progress on social media

5/ Overthinking (Analysis Paralysis)

Sometimes we are overwhelmed with the possibilities and this leads to indecisiveness.

Does this sound familiar?
- R or Python?
- Google or IBM professional certificate in data analytics/data science?

6/ Solution to Overthinking

Choose 1 and move on.

You can always circle back and give the other a try later on.

7/ Share your learning journey

Learn in public. This helps to give you accountability because the community is your accountability buddy and they're looking forward to your knowledge sharing.
- Tweet about what you've learned
- Make tutorial YouTube videos
- Write tutorial blogs