Data Science using Python

Course Overview

Introduction to Artificial Intelligence

Anaconda Installation

Basics of Python: Oops

Exploratory: Descriptive Analysis
 Introduction to Data Science
 Basic Terminology of Data Science: Key Term 1
 Basic Terminology of Data Science: Key Term 2
 Types of Variable
 Concepts under Data Science
 Topics Under Descriptive Analysis
 Data Science: Project Report
 What is outlier?
 What is Mean and Purpose of it
 What is Median and Purpose of it
 Mean vs Median
 Mode
 Python: Dataset Explanation
 Python: Mean, Median and Mode
 Python: Quantitative and Qualitative
 Python Class and Function Fair copy
 Python Custom Table for Mean, Median and Mode
 Percentile and Purpose of it
 Python: Percentile and Lesser and greater range of outlier
 Inter Quartile Range and Outlier
 Python IQR
 Python IQR: Lesser range outlier and Greater range outlier
 Python Fair Descriptive
 Python Detecting Lesser and Greater outlier
 Python Detecting Outlier Fair copy
 Cross Checking for replaced outlier
 Frequency , Relative Frequency and Cumulative Frequency
 Python: Frequency, Relative Frequency and Cumulative Frequency
 Fair Frequency, Relative Frequency
 Variance
 Standard Deviation
 Python Standard Variance
 Skewness and Kurtosis
 Python Skewness, Kurt and Histogram

Exploratory: Inferential Analysis
 What is Inference Analysis?
 Univariate ,Bivariate and Multivariate
 Concept Under each Analysis
 CoVariance
 Correlatoion
 Python Covariance, Correlation
 Multicollinearity
 Variance Inflation Factor and Homoscedasticity
 Homoscedasticity and Heteroscedasticity
 Introduction univariate
 Probability Density Curve
 Python PDF
 Python CDF
 ZScore
 Python ZScore
 Types of Test
 Paired & Unpaired TTest
 Python T Test
 F Test
 Hypothesis Testing
 Analysis of Variance and One way Testing
 Python Anavo One Way Testing
 Anavo Two Analysis
 Python Anavo Two way Testing
 Python Two Post hoc

Data Visualization: Matplotlib

Data Visualization: Seaborn

Data Visualization: Tableau

Data Preprocessing
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