Data Science & Python - Maths, models, Stats PLUS Case Study
Learn statistics, inferential tests, supervised & unsupervised learning, data science careers PLUS Python & libraries
4.45 (33 reviews)
398
students
14.5 hours
content
Nov 2024
last update
$19.99
regular price
What you will learn
Introduce data and information concept
Identify difference between business intelligence and data science
Understand and learn process of data science
Define demand and challenges for data scientists
Identify the difference between dispersion and descriptive vs inferential statistics discussion
Learn after install anaconda steps to be follow
Learn spread of data discussion and inter quartile range
Define advantages of getting conditional probability based on example
Identify advantage of calculating z scores and other factors
Learn calculating p value and learning other factors on p value
Know the Prerequisites and Questions for a Data Scientist
Learn Types of Data Acquisition
Know Career Aspects for a Data Scientist
Discuss Mathematical and Statistical Concepts and Examples
Learn Descriptive and Inferential Statistics and factors of it
Learn how to use Jupyter application
Calculate variance and discussing other factors
Get Conditional Probability based on example
Learn what is Distribution and Probability Density
Learn Z test and finding percentage under the curve
Compare Mean and Variable discussion
Learn what is chi squared test and discussing based on example data
Learn Data Preprocessing in Python
Checking Array and Dimension Shape and Discussing on Encode Window
Learn why is data visualization is important and how to use it
Learn Parametric Methods and Algorithm Trade Off
Learning Classification and Concept on learning
Learn K means Clustering and Algorithm
Doing cluster and using sklearn on it and encoding other factors
Learn TP,TN,FP and FN of Confusion Matrix and Discussing accuracy
Learn Classification report and calculation on encoding window on Python
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4644672
udemy ID
4/16/2022
course created date
6/14/2022
course indexed date
Bot
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