ChatGPT is such a boon for students, honestly. π
You don't understand a concept? Just ask it to explain with examples, give you some MCQs and practice questions, and you're good to go.
Makes learning so much easier. Thank you, ChatGPT. π«Άπ»
October air has its own sweetness π the kind that makes you want to take a deep breath and just exist. Not too cold, not too hot, just the perfect weather. β€οΈ
Thought I'd finish Statistics by October 20, but looks like it'll take a few more days. π₯²
Reality of learning: plans don't always go as expected, and that's okay. Better to understand concepts properly than rush through the topics.π
πDay 31: Learnings | Data Analytics
π Statistics:
β Mean
β Variance & Standard Deviation
β Density Curves
β Empirical Rule (68β95β99.7%)
#DataAnalytics#Statistics#100DaysOfLearning
For those sharing their daily learning updates on Twitter π
Has posting your learning journey actually helped you stay consistent, connect with people, or land opportunities?
#LearningInPublic#DataAnalytics#100DaysOfLearning
Days 25β30 | Data Analytics
π Python: Learned OOP fundamentals β classes, objects, attributes, and methods.
π Statistics:
β’ 5-number summary and outlier removal
β’ Data distribution and its types
β’ Statistical notations
β’ Sample vs. population
#Python#Statistics#Data
I seriously want to delete WhatsApp forever. π
People reply to my messages after a day, 2β3 days, sometimes even a week later. The only reason I still use it is because literally everyone else does.
If only we could convince everyone to move to a better place. π
Starting Statistics for Data Analytics in parallel π
Python will take a little more time to complete, so Iβm starting statistics alongside it instead of waiting.
Topics left in Python:
β’ Exception and File Handling
β’ OOPs
β’ Packages and Modules
#DataAnalytics#Statistics