Bifalgorithm post

"This is exactly how I would learn Python or data analysis for free if I had to start all over again. The first thing you need to do is learn the Python fundamentals. Those are important. I would recommend starting with this free CodeCamp Big Nerd Python course. It will teach you the basics like variables, conditions, loops, functions, and data structure. Then spend about 30 minutes a day coding along with the instructor instead of like just watching. There's something called tutorial trap. This is basically your foundation in Python. Next, take this Kaggle Python course. This one gives you short hands-on exercises so you can practice the fundamentals instead of simply watching some... someone else code. Once you understand the basics, move on to Kaggle's Panda course. This is where Python becomes useful for data analysis. You will learn how to read data sets, select and filter information, group and summarize data, handle missing values, and combine multiple data sets. All important skills for data analysis. After that, move on to this data cleaning course because real-world data is actually really messy. You will learn how to fix missing values, inconsistent entries, formatting, working with dates, which you will be working a lot with, and how you recognize someone nominated. After you have done that, you move on to this data visualization course. You will to create basically line charts bar chart heat maps scatter plots distribution basically all the cool visualizations that you get to see you will actually build them so the path is that you learn fundamentals first then hands-on practice then you focus on data manipulation and data cleaning and then data visualization after completing the course use ai to practice for example you can choose a real data set try to answer three questions yourself first then give your code to chagipity and ask review my approach explain what i got wrong and show me how i can improve it this is where you use ai as your tutor do not copy the answer compare it with your sure you understand what changed we're using it as a tutor not for cheating once you have the basics down then build three projects a product analysis a customer retention analysis an exploratory data analysis with visualizations if you want i can cover projects in detail in one of my next videos basically you're going to build a portfolio that proves that you can work with data add those projects to your linkedin and github my favorite part is that all five courses are completely free and of course you already knew this because you follow me let me know what i should cover in the"

"This is exactly how I would learn Python or data analysis for free if I had to start all over again. The first thing you need to do is learn the Python fundam…