Hey guys. Very new to coding and data analysis here.

In the third video on the Data Analysis with Python there is a link included to a couple of exercises in GitHub. I can’t seem to figure out how to get the exercises open in my own worksheet. I only have the master sheet. How can I create a copy? Is that what is meant in GitHub with the fork?

TIA

GitPod cloud coding platform has really become a nail in the brain for me, I am stuck since last 3 days just figuring out how to use it, sometimes I see my code all perfect and fine in the GitPod Workspace and sometimes I see an empty file with only the preconfigue code.

Are their any other alternative methods FreeCodeCamp accepts?

How am I expected to do anything when the default replit is so slow It can't even update, the ram and cpu go to 100% and my whole replit is completely frozen. All I'm trying to do is print(1) and its freezing up because its trying to update numpy

Replit: Updating package configuration

--> python3 -m poetry lock --no-update
Resolving dependencies...
--> python3 -m poetry install
Installing dependencies from lock file

Package operations: 0 installs, 1 update, 0 removals

  • Updating numpy (1.24.1 -> 1.18.5)

I just get this and it crashes, no way am I paying for replit boosts when I think the app sucks overall.

After doing the majority of Mosh's 6-hr Python youtube tutorial, and taking a short detour to Corey Schafer's python OOP series and learn a little MySQL, I came across freeCodeCamp's Data Analysis with Python curriculum while trying to avoid going back to LeetCode to get my butt handed to me. I liked statistics in college (though I don't remember much as I haven't used it since), so I thought I might give this curriculum a try. I got to Exercise 1, and feel like I'm missing some prerequisite skills. I'm at a loss how to even start. Am I supposed to know what to put in each "# your code goes here"?

Do I need to play around with Python, numpy, pandas, and matplotlib before attempting this Data Analysis curriculum?

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.

Hello all,

Next week I'm starting at a new job as an analytical chemist. During my internship at the same lab last year I noticed they have some data that could be analysed way easier than it is now. To automate the analysis of the data I decided to dedicate a bit of time to learning python but I'm not sure where to start since there are so many sources.

I was wondering if anybody has completed the course "Data Analysis with Python" as a complete beginner and how this went. How long did it take you roughly? It says 300 hours per course, I have heard it takes a lot shorter but I'm not sure about the precious knowledge of people claiming this. Thanks in advance.

Edit: Link to the course

At jovian.ml, we are excited to announce a FREE Certification course on Data Analysis with Python: Zero to Pandas in partnership with freeCodeCamp starting on Aug 15th at 8.30 AM PST/9:00 PM IST

The enrollment is OPEN now.
The link to register is in the comments below.

Livestream @ freeCodeCamp Youtube Channel
In English & Hindi

Hey guys! So I work as a Data Analyst with SQL, Tableau and Excel but I would like to take the next step which is programming with python for Data Analysis.

Can anyone recommend a course or bootcamp for this? I have 0 programming experience btw. I dont want to learn things out of my scope like creating apps or scraping the web.

I want to learn something useful for my job. For example I would like to be able to predict when a user will churn, how to predict the customer lifetime value, how to do machine learning in ways that will help the company and make me more valuable. I believe I need to learn pandas,numpy, seaborn, pyspark, tensorflow, matplotlib etc.

Thanks for the help!

I'm learning Python nowadays and I'm taking this course on freecodecamp

Is is still relevant today or a lot of things have changed in Python and Pandas?

I'm coming from R language so I have experience in R, SQL and Tableau. I chose this one because I liked the way they teach the course (there are projects).

I really appreciate your suggestions for other courses.

The interest here is in Data Analysis/Science and Automation. (If someone has taken this path before)

https://www.freecodecamp.org/learn/data-analysis-with-python/

I really appreciate any help and thank you for your time.

I don't know how to proceed, any help is appreciated :>