A Practical Guide to Begin Machine Learning in Python
JOSEPH KIM
MSBA Fall '18
-
This training program is designed for total beginners who are worrying too much of how to study business analytics in their first semester at UT Dallas.
-
Prefer students who haven't had any prior experience in Python and machine learning.
-
The event is free and open for Data Science Club members. (Undergrad, graduate and doctorate students)
-
The course will be about sharing personal experiences and general learning paths with the following Q&A session.
Course Overview
The Data Science Club presents A Practical Guide to Begin Machine Learning in Python. This is a 1-week training program and is scheduled on September 14th, Saturday, 12:00 pm - 1:00 pm at JSOM 2.801. Read through for more details -
So many questions in you...
-
"Should I learn Python? Should I learn R? Is Stat that important?"
-
"Should I enroll in any online courses like Udemy, Coursera, Datacamp?"
-
"There are so many tracks, what should I choose?"
-
"There are so many books out there. What book should I read first?"
-
"What I should do if want to become a data scientist, data analytics, data engineer?"
-
"How to find an internship position? From when should I be looking for?"
-
and 1000 more! But nobody tells me :/
Stop worrying too much! I will recommend you
-
Videos/Books you really need now to improve your programming skills
-
BA courses you should consider to take
-
Practical Projects you can start right now from Kaggle

-
Practical Projects you can start right now from Kaggle

-
the fastest ways to get ready for an internship

One year ago, I know nothing about Python and machine learning...
I have never learned any programming language and never worked in any firms.
I worried a lot, a lot and a lot. Every day and night.
At school, I was intimidated by classmates who have already experienced so many things.
At home, I was overwhelmed by the fact that there are tons of things I have to learn.
No one told me how and where total beginner like me should begin.
I didn't want to give up. I tried everything I could.
I enrolled in 10+ online courses, bought and read 10+ books.
I followed any suggestions if it sounds right.
I have spent money, time and efforts.
Through a series of trial-and-error, here I am standing as a beginner, not a total beginner, fortunately.
What I want to share with you are my personal experiences.
I am not saying you should follow my steps.
I am saying you should not follow my steps because I want you to save your money, time and efforts from worrying too much.
Everyone is welcome but total beginners like me will be more welcome.
I am looking forward to seeing you there.
Cheers.