A Practical Guide to Begin Machine Learning in Python

• 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.

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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 -

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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 :/

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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

One year ago, I know nothing about Python and machine learning...

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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.

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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. 

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I am looking forward to seeing you there. 

Cheers.

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