#datacamp

[kragmork]

I hate you "modern" teaching methods (using videos where a written summary that's easy to refer back to would do), I hate you AI assistants, I hate you DataCamp for deciding that the best way to teach people syntax is a 5 minute video with 5 seconds that are pertinent to whatever exercise I am failing to figure out. Techbro-ass shit.

Love you w3schools for being actually usable though.

[i-rationality]

My Coding/Web Scraping Journey !!

- From the pov of an absolute beginner.py

Hi guys, as many of you may be aware of I, once upon a time, had a sort of series on this blog related to the mathematical olympiad (of my country) where I kept a record of my preparation and eventual examination and advised here and there about ways to proceed based on personal experience. ( you can check it out here! ) 

What you may not know is that I've been continuously postponing learning to code, specifically in python, for a bit over a year now. Recently, I got the chance to join a Web Scraping Project related to current politics. I decided I would love to keep a record of that experience too, so here is the first part:

Part I: Learning Python

Since I enrolled in a relatively recent project made by very hard-working students, I'm not going to expose the preparation they encouraged. What I am going to do is divide what I learned into different phases and link possible resources below:

Phase I: Basic info, variables, data types and lists.

Intro - Version of Python (use 3.9+), the process of installing and available guide on their website. To use Python, you can use your computer's command prompt, but for proper code, I use VSCode some use Sublime or even PyCharm. There are various options available but, I generally encourage Visual Studio Code. 

General awareness of the various functionalities of Python - from data storage to calculators - Try some basic exercises like making a, as previously mentioned, calculator. To truly learn coding, I think practice and fun is very important - so just mess around a bit. Try doing some calculations first or even using variables without really knowing what they are.

Variables - Learn to assign variables to various values, and that by using print() you are able to see them in the shell/terminal.

Data Types - Learn that there are different types of objects (everything is an object in python!!), such as

booleans - which are True and False, they’re really useful especially when comparing data, 

strings - essentially it’s text, to introduce them you have to use single ( ’  ’ ) or double ( “   “ ) quotes,

integers and floats - both are numerical values, the difference being that floats have decimals aka floating-points ;)  

         Inside variables you can insert any of these values and to discover the type of a variable, let’s say A, simply insert print(type(A)) into your code and it will output in the terminal. If it’s a boolean, the output will be “bool”, if it’s a string it’ll be “str”, if it’s an integer it’ll be int and if it’s a float it’ll be float.

You can also convert data types into others, for example:

age = 1

print ( “I am” + age ) will create an error - because, although you can add strings (do try!) and add integers with themselves [check the difference between 1 + 1 and “Maria” + “Maria” \ “Maria” * 2 (you can multiply strings! If you think about it, it makes sense)], you cannot add or subtract a number from a string.

To make the code run you’ll need to do the following:

print( “I am” + str(age)) - Therefore converting the interger into a string!

Lists - Learn that a list is another data type and it is very useful to store values (by using square brackets [ ] ) A single list can contain sublists and various data types, there can be integers and strings in the same list. Learn to use those lists (subsetting lists (index based and different ways to present it), list slicing, manipulating lists (by adding, deleting and chaging values (index is useful)), etc.)  

Part I; general info: In Pyhton ( ; ) is used to put different commands in the same line:

command1 ; command2

=

command1

command2

----

Resources:

Google’s Python Class - The teacher is very good, from what I saw. Proper lectures are available (an hour or so) and exercises are provided. Everything is very organized and clear. Good for a relatively in-depth knowledge of Python.

DataCamp -  Great balance between theory and practice, heavily advise. Videos are considerably short, it’s possible to end phase I in less than an hour. Good for initial and superficial knowledge of Python. Tried it and loved it!

Microsoft’s Intro to Python -  The literal definition of short and sweet, 8 units and 16 minutes of learning. Good first contact with the programming language.

Udemy courses - Check for free ones, there are various to choose from. If there’s a reasonable amount of options, which I believe there is, I heavily advise choosing the one more heavily catered to practice. I linked one I found and had good reviews but please research some more and see what fits your learning style.

[academiceve]

14.10.18 // Study Weekend 🍂

I’m currently in the library in town working on a group project but I wanted to share my weekend progress with you all! I’ve had a productive weekend and managed to do quality work on the two group projects that are due next week, as well as completed readings + reading notes for Monday’s lecture! All that is left to do is more studying for the upcoming final exams!📚Wish me luck!😂

Follow me on Instagram for more updates @academic.eve

[millenniallust4death]

I can't sleep at night so I decided to sign up for a course to learn R, the stats programming language. DataCamp has been weirdly fun so far.

[keanudesmet]

Illustrations I made for DataCamp tutorials and projects while doing my summer internship there - 2018

[academiceve]

22.10.18 // Completed my first final exam ✨

I’ve been studying A LOT this past week, with it being finals week (quarter system) and I’m so relieved to be done with my first exam! I have one more from neurophysiology tomorrow, so I hope it goes well because it is worth a lot! However, I’m also looking forward to taking the rest of the week off as we’re going on a study trip to Denmark!🇩🇰Cannot wait for my holidays to begin!😭

Follow me on Instagram for more updates @academic.eve

[znoso]

Plan for Datacamp "AI Engineer for Developers" certification.

Long story short, i got a #Github student dev pack, where in there was #DATACAMP platform perk for 3 months premium.

I've claimed it on start of jan, but i have not been active and taken advantage of it. So now its expiring on 2nd of april. Now i have only 10 days to be exact to take its premium advantage.

So there a free very premium certification which datacamp offers which is called "AI Engineer for Developers". To claim it you have to clear exam.

The Exam - is hard, 3 parts. First 2 parts are on MCQ based on topics like AI fundamentals, AI Governance, AI model usage, Production System & Application Development for AI, Programming for AI (Python)

Now i have planned to complete it in next 10 remaining days. There a track which datacamp offers called "Associate AI engineer for developers", where am learning about all of topics hands-on as well.

About learning experience of platform, Loved it. Best ed-tech learning platform i have came across. Have Paths, tech, topic based tutorials. Tutorials are interactive, have AI usage - chatbot which u can ask Questions about what is being teach to u. Clean graphics, subtitles, no distraction like face-cam of more elements. And my favorate hands-on interative task after each topic. Where u actually write code or answer MCQ or more interactive tasks.

Well am planning to complete this Path in next 3 days, and prepare of certification exam in remaining days. And am planning to take exam in 7-8 Days.

Here my topics plan to cover.

Here are core concepts for exams as well as other important topics i have to cover for this exam.

Hope for best, am confidant that i will definately pass this exam.

My only issue is Consistency, if i do this for next 8 days, i will complete it all.

Yahh and i think i work good underpressure and deadline.

So lets see.

I will be updating journey along the way.

RN my current path is 37% complete. I will complete it full in next 3 Days. And move forward to prepare for Examination.

[pythonjobsupport]

DataCamp Donates is the Best Way to Transition into a Data Analyst Career

Discover the inspiring story of Amanda Wade, a DataCamp Donates recipient through our nonprofit partner BreakLine. source