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Become a Python Data Analyst
The Anaconda Distribution and the Jupyter Notebook
The Course Overview
The Anaconda Distribution
Introduction to the Jupyter Notebook
Using the Jupyter Notebook
Vectorizing Operations with NumPy
NumPy: Python’s Vectorization Solution
NumPy Arrays: Creation, Methods and Attributes
Using NumPy for Simulations
Everyone’s Favorite Data Analysis Library
The Pandas Library
Main Properties, Operations and Manipulations
Answering Simple Questions about a Dataset – Part 1
Answering Simple Questions about a Dataset – Part 2
Visualization and Exploratory Data Analysis
Basics of Matplotlib
Pyplot
The Object Oriented Interface
Common Customizations
EDA with Seaborn and Pandas
Analysing Variables Individually
Relationships between Variables
Statistical Computing with Python
SciPy and the Statistics Sub-Package
Alcohol Consumption – Confidence Intervals and Probability Calculations
Hypothesis Testing – Does Alcohol Consumption Affect Academic Performance?
Hypothesis Testing – Do Male Teenagers Drink More Than Females?
Introduction to Predictive Analytics Models
Introduction to Predictive Analytics Models
The Scikit-Learn Library – Building a Simple Predictive Model
Classification – Predicting the Drinking Habits of Teenagers
Regression – Predicting House Prices
The Pandas Library
Complete and Continue