learning to code is like learning to paint
data science is mainly conceptual, coding is a physical skill like painting. learn in a focused way for each skill
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learn one or learn them all in the self-inclusive programs all starting with the python basics or the ability to skip right into the knowledge sections
python basics
start with the basics and start learning from the perspective of data today. especially easy for someone familiar with spreadsheets
learn data analysis
use Pandas and Seaborn in Python to complete robust in-depth analyses that provide valuable insights to the business or machine learning engineer
learn machine learning
understanding conceptually is as important,understand how the maths affect the relation problem is intuition and we focus on building intuition. How it affects the real data verus here is how you do a closed math problem.
learn deep learning
understanding why neural networks work well is like understanding how our brains work and the infinite possibilities there
guided project
practice the code and develop the muscle memory so important to being comfortable using code to interact with data
learn simple
learn fast
Learning Python like your a studying computer science when your actually trying to master data science doesn't work. Python in many ways is just like a mouse, it's a way to interact with your computer. ​
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What we need to learning is how to focus our learning on how to use Python to interact with specific libraries. Just like Google sheets and Excel aren't exactly the same we need to focus on learning the data science libraries.
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Keeping with the concept our programs are targeted, focused, and robust in each topic they cover, but focus on getting you to mastery only on that topic.
Data Science Teacher Brandyn takes pride in helping the world learn data science
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