Update:

Stanford Machine Learning: this is hard
Columbia Data Science Statistics Course: I’m happy I took it, ecstatic that it’s over

(sorry for the lag between posts)
here’s what i’ve done since my last update:

What I read today: Data Science, literature review

From ColumbiaX: DS101X Statistical Thinking for Data Science and Analytics (edX):

• A Very Short History Of Data Science (2013)…

Course Complete: Introduction to Python for Data Science

The next course in the Microsoft Data Science Certificate program is Introduction to Python for Data Science, powered by Microsoft via edX and co-hosted by Data Camp.

What is Data Science

I was enjoying dinner with friends when someone asked me, “What is data science? What do you actually do?” These are questions worth asking, so let’s discuss them.

What is Data Science and why does it matter?

What I did yesterday: a simple algorithm, in python

from MITx: 6.00.2x Introduction to Computational Thinking and Data Science

Code Challenge:
Given a list of integers and a target integer, return a numpy array of 1 or 0 values, such that the sumproduct of the list…

Machine Learning and Data Science progression: what I did yesterday and today.

What I did yesterday:
• DS101X Statistical Thinking for Data Science and Analytics
 // completion of week 2 “Probability and Statistics I”
# introduction to statistics
# normal (gaussian)…

What I’m working on right now.

Machine Learning by Andrew Ng, Stanford (Coursera)

Microsoft Professional Program: Data Science (edX)
 ColumbiaX: DS101X Statistical Thinking for Data Science and Analytics

what i’ve done so far

here is a catalog of the pertinent courses and activities that i have done thus far:

Wyncode, full-time code bootcamp in Miami

MITx: 6.00.1x Introduction to Computer Science and Programming Using Python

hello.

this is the beginning.

thank you for coming along with me.

i promise you that i will be honest.

this is new to me, so this will improve over time.