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 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

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.

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.

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

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

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!

Hey y'all, I am a beginner and going through the Data Analysis course on FCC. I am trying to do the medical data visualizer project but I can't view the figures I have done, nor can I see if my code passes the tests. Everytime I click the run button, I get an error in the console saying (No such file: main.py

repl process died unexpectedly: exit status 2)

I have no idea what this error means and how to go about resolving it. Here is my code.

Please help me!!! Thank you so much I will be soooo grateful

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.

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?

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

• Pandas

• Matplotlib

• Seaborn

• 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! (:

Hey y'all I recently just started with the Python Data Analysis Project, of which is the Medical Visualizer, and am stuck on a part of the project. I was able to open the csv file and add a column like so

med_data = pd.read_csv("medical_examination.csv")

med_data.head()

med_data_df = pd.DataFrame(med_data)

med_data_df['OverWeight'] = med_data_df.apply(lambda row: row.weight/((row.height / 39.370) ** 2.0),axis=1)

The problem is that last line as I am trying to convert a person's height from inches into meters.... I know the formula but I just can't figure what I am doing wrong. Here are the numbers that I get after I check to see if its correct.

0 3.404897

1 5.413779

2 3.643703

3 4.450115

4 3.566725

If someone can help me thought it would be great! Thank you in advance!

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:

1. How was your experience with freeCodeCamp's data science track?

2. What supplementary resources did you use alongside it?

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