[P4-DS] My Data Science Path 2019 sept — 3rd week
Subject :Is R really good for data analysis over python , but why i decided to go with python?
Hello everyone welcome back to my data science journey , it’s my 4th week it means 4th post , in this post i’ll explain what i did after understood seaborn , and why i’m still loves to code in python after knowing “r” is very good lang for Exploratory Data Analysis
1. Recap from my last post :
in my last post i posted about seaborn where i’m learning but after that at the end of my old post i attached a link to EDA by Facebook.
2) Is EDA by FACEBOOK worth?
Yes it’s worth we learn what EDA in Facebook , how they’re using those tools and why they are using those things.
3)How i learned EDA by Facebook :
The EDA by Facebook course in “R lang ” , i don’t know “R lang” so i decided let me do that whole thing in python from/with what i understood in pandas and seaborn.
Yowie Wowie i did it yes i did all the things with python but i took a little extra time and code when programming in python because the ggplot in r is more powerful than seaborn and matplotlib.
So i downloaded the ggplot python version but i’m not learned it completely , so i switch back to seaborn this journey was more adventure because i learned how to Analysis a Dataset Statistically i doesn’t cover any model creation / ML.
4) So what ‘s next ?
Can i apply to a data analyst job? “haha”
so the next things is i need to do is revise the DB , Web Scrapping. Data wrangling and needs to understand the art of data visualization
5) Resources of the Week
- google Trends where can understand visually how the data in this world are happening , we comparing it’s from google big data
- the art of data visualization this course is awesome why need to plot how to plot
6) See You in next week
i’m going to focus on things that are useful for descriptive analysis for next weak
