The 3 mistakes I made when learning data science
Hey John,
It took me 5-years to feel confident in my data science abilities. True story.
This is coming from a person that has:
- Created 10 R packages that combine for 2.5 Million downloads. (Tidyquant, Timetk, Modeltime, +7 more)
- Has trained elite data scientists at Apple, Walmart, Google, S&P Global, Northwestern Mutual, Netflix, and many more Fortune 500 companies.
- And has built a career teaching students how to become data scientists.
And 3 mistakes were holding me back:
Mistake #1
I was trying to learn from too many resources.
I was trying to learn from too many resources.
I thought I had to learn everything.
👉 Deep learning.
👉 Machine learning.
👉 Algorithms.
The toughest part was figuring out which tools to learn and which were "red herrings" (a waste of time).
This cost me years going back and forth between R and Python...
... listening to too many people saying what they thought I needed to learn...
... and then discovering they’ve never done half the things they recommend.
👉 Deep learning.
👉 Machine learning.
👉 Algorithms.
The toughest part was figuring out which tools to learn and which were "red herrings" (a waste of time).
This cost me years going back and forth between R and Python...
... listening to too many people saying what they thought I needed to learn...
... and then discovering they’ve never done half the things they recommend.
Mistake #2.
I was struggling with bootcamps.
I was struggling with bootcamps.
I never used 90% of the skills I learned through bootcamps.
Worse, I didn’t know which 10% that were actually useful.
Plus they didn’t teach some of the things that are absolutely critical.
I remember after my first bootcamp I struggled making a random forest because I didn’t know how work with features and format them right.
This left me confused and unconfident.
Set me back months.
Worse, I didn’t know which 10% that were actually useful.
Plus they didn’t teach some of the things that are absolutely critical.
I remember after my first bootcamp I struggled making a random forest because I didn’t know how work with features and format them right.
This left me confused and unconfident.
Set me back months.
Mistake #3.
I wasn't solving business problem.
I love learning data science, but there is a big problem that was costing me dearly.
I wasn't solving business problems. It was the critical thinking and problem-solving skills that businesses needed from me. But I was too focused on the wrong things...
This is why it literally took me 5 painful years struggling to even produce something that I wasn't embarrassed to show someone else.
I wasn't solving business problems. It was the critical thinking and problem-solving skills that businesses needed from me. But I was too focused on the wrong things...
This is why it literally took me 5 painful years struggling to even produce something that I wasn't embarrassed to show someone else.
Of course you wouldn't know any of this if you saw Matt today.
People see my posts on LinkedIn and Twitter (or in one of my Learning Labs) and they assume I've always been a great data scientist.
As if I was born knowing how to write beautifully formatted R code or analyze business problems with machine learning models that provide multi-million-dollar business value.
But it took me years of stumbling my way through business problems, code, and algorithms to connect the dots.
And I knew there was a better way. One that I could solve and help thousands of other aspiring data scientists that were struggling, wasting their time, and eventually quitting.
That's why I created a program to teach you how to become a business data scientist in a fraction of the time it took me.
As if I was born knowing how to write beautifully formatted R code or analyze business problems with machine learning models that provide multi-million-dollar business value.
But it took me years of stumbling my way through business problems, code, and algorithms to connect the dots.
And I knew there was a better way. One that I could solve and help thousands of other aspiring data scientists that were struggling, wasting their time, and eventually quitting.
That's why I created a program to teach you how to become a business data scientist in a fraction of the time it took me.
Introducing My 5-Course R-Track Program
Your new world of Data Science applied to Business Problems.
Your new world of Data Science applied to Business Problems.
Remember, this is tough stuff. So if you're like I was, stumbling through learning data science AND business at the same time, feeling embarrassed (and unconfident), or on the edge of quitting, then I understand what you are going through.
And here's how you can learn with me in your corner.
And here's how you can learn with me in your corner.
Your Friendly Neighborhood Data Scientist,
Matt Dancho
P.S. Tomorrow I'm going to help you see the light. I want to show you a glimpse of your future as a data scientist (and how you can get there quickly).
P.P.S. If you want to get a head start but are intimidated or confused as to how to become a data scientist (I was there too), then you can pick up a copy of my 155-Page E-book, "Everything You Should Already Know About Data Science." It's the best resource for navigating data science.
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Business Science University, PO Box 329, Murrysville, PA 15668, United States
Business Science University, PO Box 329, Murrysville, PA 15668, United States