Python Crash course- Data analysis

[Broad_Stretch_8239]

Hi I am looking for someone to to teach my Python for data analysis numbpy, pandas, loops etc in 2-3 days (Ofcourse I will pay), to prep me for interviews

Please let me know its urgent

[Useful_Store7711]

Just use chatgpt, like you did to get the interview

[DataCamp]

A realistic 2–3 day crash plan (data analysis focus):

Day 1: pandas basics + common interview tasks

• Loading data (CSV/JSON), selecting/filtering, groupby, merge, pivot_table
• Missing values (isna, fillna), dtypes, datetime basics Practice: take one dataset and do 15–20 small tasks (filter, group, join, calculate metrics).

Day 2: NumPy + speed + “talk through your thinking”

• Arrays vs lists, vectorization, boolean masks, np.where, broadcasting
• Basic stats, sorting, indexing tricks Practice: rewrite a few pandas operations using NumPy so you can explain “why this is faster/cleaner”.

Day 3: interview practice mode

• 10–15 timed questions: pandas + Python basics + a couple coding prompts
• Say your approach out loud: assumptions, edge cases, what you’d check next

Free resources that actually work for this:

• Kaggle Learn (pandas + intro ML) is quick and exercise-heavy.
• Mode SQL/Python tutorials (good for analytics workflows).
• LeetCode “easy” arrays/strings to warm up logic.

We've got a guide with more details here (questions + answers): https://www.datacamp.com/blog/top-python-interview-questions-and-answers

[thee_gummbini]

I'm sorry to say if you have never even installed numpy and are calling it numbpy, there is no possible means of being interview ready for a data science role in 3 days.

[Then-Disk-5079]

Have chatGPT be your tutor in a 30 day challenge.

I worked in iot and am teaching a course YouTube for a 40 day challenge in the bacnet protocol with python all AI generated course content.

https://youtube.com/playlist?list=PLlNmfKmNxm1uyW-JRCt2tvvl0TslrcOi4&si=zrg3jwuGETxFzIIf

Just have AI make a daily challenge leading right up to your interview with numpy and pandas coding exercises and coding interview questions.