Exploratory Data Analysis
Exploratory data analysis is the essential part when talking about data science. The data scientist has many tasks, including finding data patterns, analyzing data, finding the appropriate trends in the data and obtaining valuable insights, etc., from them with the help of various graphical and statistical methods, including:
A) Data Analysis using Pandas and Numpy
B) Data Manipulation
C) Data Visualization
- Intro To EDA By Code Heroku’s (Recommended)
- Blog — Performing EDA on Iris Data Set (Recommended)
- Coursera Course On EDA, Statistics, Probability
111
174 reads
CURATED FROM
A Guide On How To Become A Data Scientist (Step By Step Approach) - KDnuggets
kdnuggets.com
8 ideas
·2.24K reads
IDEAS CURATED BY
“Talent wins games, but teamwork and intelligence win championships.”, Michael Jordan
The idea is part of this collection:
Learn more about artificialintelligence with this collection
Understanding the importance of constructive criticism
How to receive constructive criticism positively
How to use constructive criticism to improve performance
Related collections
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
—
100+ Learning Journeys
—
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates