The Essential Programming Concepts For Learning Data Science
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- Опубликовано: 28 июн 2024
- Programming / Coding is one of the most important skills for a data scientist. Having a great foundation can increase your value over the course of your career. In this video I talk about the 5 essential programming concepts that will give you the biggest boost for a data career.
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0:00 Intro
1:10 Control Flow Structures
3:47 Data Structures
5:56 Data Types
7:45 Functions & Methods
9:40 Libraries
11:49: Debugging
12:20 Object Oriented Programming
12:52 Learning Framework
Tuples Vs Arrays Vs Lists: www.geeksforgeeks.org/python-...
Python Sets: www.w3schools.com/python/pyth...
Documentation for libraries
- Pandas Docs: pandas.pydata.org/docs/
- Numpy Docs: numpy.org/doc/
- Scikit Learn Docs: scikit-learn.org/0.21/documen...
- Matplotlib Docs: matplotlib.org/stable/index.html
- Seaborn Docs: seaborn.pydata.org/
- Plotly Docs: plotly.com/python/
- Tensorflow Docs: www.tensorflow.org/api_docs
- Pytorch Docs: pytorch.org/docs/stable/index...
- Keras Docs: keras.io/
Other Resources/ projects:
- Project Example Using Many of These Tools: • Beginner Kaggle Data S...
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Also an important skill related to coding- Relearning English. Learning how to articulate what your potential solution would look like in great detail can save a lot of time when building APIs/internal tools. I've found that if I jump in without taking any time to express my system, I end up with code that needs to be rewritten a lot
When watching this through, I realized I misspoke about classes and objects! At 10:15 I say that libraries are made up of a group of objects. Technically, they are made up of classes. When we implement the libraries, we use the classes to create objects. This article explains this concept in more detail: www.scaler.com/topics/difference-between-class-and-object/
Babe wake up. New Ken Jee video just dropped.
I'm awake already
🔥
You said it all, Data scientist have a lot to learn.
Knowing your limit in python programming is great.
💪
09:40 #Facts 🙌🏼 Ya gotta get good at the googles!
Nice video, you summarize in a clear and simple way all the relevant concepts!
Thank you!
This is a nice reminder that I don't need to learn EVERTHING there is to know to be a good data scientist. It assuages my anxiety lol.
Glad it helps!
Very useful guide for someone who is just starting out as these are the concepts which we mainly use on getting our tasks done as a beginner. I remember trying to learn everything possible a few years ago and it was extremely overwhelming.🤣
Thanks for watching!
@@KenJee_ds I'm a Lawyer who works as a Data Scientist and legal consultant at my own company with other stakeholders. For long I have wanted to learn NLP to be a "legal data scientist" but other than academia there doesn't seem to be a market for me.
For my background, what would be a better or alternative domain to focus to actually make money(bit of an abrupt way to put it but yeah.)
Thanks Ken, big fan!
Thanks for watching!
Happy to see that Ken is a cultured man that use scikit, instead of trying to be one of those Twitter edge-lords
super helpful!
Thanks for watching!
Great video can you provide more videos on data science projects.
Yes! Doing more walk throughs soon. This is a full playlist on projects I currently have though: ruclips.net/p/PL2zq7klxX5ASt4dLSAd2FMoY3Og3V0jZv
Great video Ken! I need your camera 😢
It is the sony fx3! Worth the investment in a decent one I think!
@@KenJee_ds Cool! Yeah, it absolutely is.
Is this everything? It doesn't like a lot. I already know the pyrhon concepts you talked about. I guess all i need to know are the libraries
I would think so! It is less than most people think
Wonderful and Value adding video...Just few suggestions...you can add some more light near to you cuz the lighting looks little dull and when you read the script from the screen infront of you....your voice becoming monotonous and lacking smile....maybe you can add highs and lows in your voice and smile in between. Because even though the information is good, when viewing experience lacks the viewer won't feel excited.....Just wanted to tell how i felt..cheers Ken
Thanks for the feedback!
print (" Papaya ")
Hey ken I'm looking for your video with an interview of a company that helps you get a data job for a percentage of your salary. I think it was your channel i watched it on. can you tell me the name if it was you
The company is Sharpesminds. I have an interview with the founder Jeremie harris on my podcast channel, and one on this channel as well!
@@KenJee_ds thank you so much!
Dang it ... I now want muffins.
lol
Can I have a muffin too pls? 🥺
Lol I bought a whole thing of them as a prop.. then only ate 2 :(
@@KenJee_ds muffin bit by Ken Jee for sale 2023? When?
3:06 why add the else print statement? Don’t teach beginners to do this, it’s terrible code lol. There are other ways to showcase how to do if-else statements properly.
Also you could have finished the word counting example by introducing the built-in Collections library, which already already does this more efficiently. Would have been a good transition into talking about code performance, something data scientists tend to ignore.
This is totally fair criticism. Generally, I figure this is for newer people, and it is easier to conceptualize if there is a placeholder in the else statement.
Also totally true, wish I did that!
Dude legit looked like Elon from certain angles..
lol, wish my bank account looked like his too