I'm planning to start my data science journey through freeCodeCamp, specifically focusing on Data Analysis and Data Engineering. Would love to hear from people who've used their curriculum:
How was your experience with freeCodeCamp's data science track?
Did you land a job after completing it?
What supplementary resources did you use alongside i
I'm beginner and planning to start my data science journey through freeCodeCamp, specifically focusing on Data Analysis and Data Engineering. Would love to hear from people who've used their curriculum:
How was your experience with freeCodeCamp's data science track?
What supplementary resources did you use alongside it?
Videos
More than 1yr back FCC completed it's donation goal for the "Data Science Curriculum"
Since then, I haven't found any update or progress about it.
I have been waiting for it since forever. Any info about it.
Here's the blog where it was announced last year - https://www.freecodecamp.org/news/building-a-data-science-curriculum-with-advanced-math-and-machine-learning
Hello community, good afternoon, this is my first post in this r/ but in case it has to be moved to another r/, no problem.
I wanted to ask you in what order I should do the FCC courses in order to learn about data science/analytics and machine learning.
I do not have much knowledge of the subject so I need your knowledge to guide me.
Data Visualization Certification
Certification of Scientific Calculation with Python
Data Analysis Certification with Python
Machine Learning Certification with Python
I have some knowledge of python, I'm also studying English so it's good for me to be in that language.
Thank you very much in advance and I look forward to your responses.
I am waiting since it's announcement in 2021, the last update on the blog is of 2022 where Quincy mentioned that they are on track. Any idea when it will be available?
I stumbled upon this a few days ago. Freecodecamp. It has data analysis, ml, database and other free certifications. Has anyone tried them? Would anyone recommend them for data science and data analysis? I am a beginners and wanto to learn data science and analysis with projects. Any thoughts would be appreciated. Thanks!!
Just curious if it is worth the time to learn data analytics in FreeCodeCamp or are there any better free data science courses online?
My background is in Chemistry, but I haven't had much enjoyment or luck from this career choice and I'm strongly considering transitioning into a tech position. I have no formal IT/coding training but I did work as an Application Scientist for a few years. My chemistry knowledge was key for my position, but it was a software-centric job and felt that a better background in coding, especially understanding SQL, would have made me a more valuable asset for that position. I did like learning about how software is made, how scientific data is studied and modelled, and how to troubleshoot programs, plus working from home was nice!
I live in Ontario and I see Data Scientist positions posted regularly, and I'm considering it as a career path. I've done some absolute beginner-level Python self-teaching to get a feel for it and have made some very rudimentary programs.
Where should I start? Bootcamp? Mentoring? Are there any courses or training programs that will assist with getting a job, even a junior level one? Would a portfolio be required for an entry level position, and if so, what would a employer be looking for?
I know people asks a lot about code learning platforms but I haven't found a good answer yet.
I'm a biologist and I want to learn coding mainly for data science and data analysis (ideally from basic stuff like graph making and statistics all the way up to transcriptomics); I would like to learn both R and Python.
So far by checking several posts and reviews, I have made a shortlist of platforms that seem to be good according to the community but I can't decide on which one to spend my money on (ofc ideally I don't want to pay more than one!). So if you were to choose among these platforms, which one would pick?
-Datacamp
-Codeacademy
-Dataquest
-Udemy
-Or should I just go free with Freecodecamp?
I know there won't be an ultimate answer but I want to gather more information before committing to a platform. Please let me know your opinions and experiences! Strong opinions are specially welcome!
LINK TO THE COURSE, PROJECTS NEAR THE BOTTOM
I have seen several posts asking for ideas for data analysis projects and I thought it would be a good opportunity to share my experience with the projects from freeCodeCamp.
There are 5 projects in total, all of them are in Python and use the following libraries:
-
NumPy
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Pandas
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Matplotlib
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Seaborn
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Scipy
For most of the projects you will be provided with a .csv file that you need to analyze to answer some questions and plot some charts.
The projects are quite challenging as you need to return the insights and charts in the exact format as it is requested. The projects are based on unit tests, so you don't have room for slight variations.
Upon completion of these 5 projects you will receive a certificate that you can share in LinkedIn.
That being said, I have a few tips for those that want to give those projects a shot.
You are expected to submit the solutions of the projects using Replit. My advice is to NOT use Replit for developing your projects but instead do it locally as the free tier of Replit struggles a lot when installing Matplotlib.
Once you have finished your solution locally and have passed the unit tests you can copy it to the Replit editor and submit it to freeCodeCamp.
You can find the project templates in the freeCodeCamp's GitHub account: https://github.com/freeCodeCamp
You don't need to install Git or have a GitHub account to access them, just find the project, click the green button and select 'Download ZIP'.
If you get stuck in a project, the unit tests will tell you where is the error, I recommend to take a look at the source code of the tests so you can understand what they expect.
Have fun! (:
I'm planning to start my data science journey through freeCodeCamp, specifically focusing on Data Analysis and Data Engineering. Would love to hear from people who've used their curriculum:
-
How was your experience with freeCodeCamp's data science track?
-
What supplementary resources did you use alongside it?
FreeCodeCamp's alright for the basics but it's definitely not the be-all end-all. I found their data viz stuff helpful but I needed more for the hardcore stuff. Definitely check out some YouTube channels and maybe look into some online courses for a more in depth look at things. Good luck! ๐
i've only ever heard good things about FCC. I'd say its worth a shot
So I did 2 guided scientific computing projects from freecodecamp website and I asked chatgpt as well that should I do this certification if I want to become a data analyst and it said that it will aid you but 2 projects down I don't feel like scientific computing projects are for data analysts. Should ai continue or should I abandon it.
Looking for a free course about data analysis to see if I suit for this
I'm an aspiring data analyst and have been learning a few programming languages as well as a few data visualization softwares on my own for some time now and I need some guidance and/or a structured flow to the whole profile which at least puts me at a level where I can do some further work/research/project on my own.
I'm currently unemployed so I'm a bit tight with money and hence would prefer some course that requires less to no fees. Hence, I would like your review on these sources for learning and I'd be glad if you could suggest something more too.
Hi guys,
Completely new to programming and started the free course on Python on freeCodeCamp. I was wondering if I should get a course since there are cyber Monday deals going on. Would you recommend this course: https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
or Code Academy one: https://www.codecademy.com/learn/paths/data-science
My interest is Data and I just want to get started, but since I am new I don't know where to begin
I'm changing careers from a background in public engagement. My passion is in being able to create beautiful and useful data visualization graphics. The sheer number of available resources online to learn to code is a bit overwhelming. I've done a few MOOCs through EdX (Python for Data Analysis), DataCamp (Intro to R), Coursera (The Data Scientist's Toolbox), and today was considering signing up and shelling out for the Udacity Nanodegree in Data Analysis. I've started the Free Code Camp curriculum and I like it as one of my main interests is in having a marketable portfolio at the end of whatever course I finally decide to stick with. However, if what I want to do eventually is data science/visualization, should I complete the Free Code Camp curriculum with all of its Frontend/Backend emphasis, and incomplete as of now Data Analysis module? Or am I better off focusing on a course more specific to what I'm actually most interested in?
I've done tons of research on this on my own but haven't come up with a clear answer, especially as I'm very new to the field and therefore am not well-versed in the nuances, jargon, etc...if anyone would throw me their two cents, I'd really appreciate it! (If not, that's okay too :) )