Master Python Data Analysis and Modelling Essentials
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Introduction
You will understand the contents of the course and be clear about the main process of data analysis and modelling.
Setting up Python Environment
You will be able to setup Python environment to starting data anlysis and modelling.
Data Exploration
You will be able to read local and online datasets into Pandas DataFrame, and make basic data exploration.
Download the Data
Video - 00:02:37 mins
Reading and Writing Data
Video - 00:14:28 mins
Accessing Basic Information of DataFrame
Video - 00:10:15 mins
Renaming Columns of DataFrame
Video - 00:13:30 mins
Slicing DataFrame
Video - 00:19:39 mins
Sorting DataFrame
Video - 00:07:45 mins
Filtering DataFrame
Video - 00:17:02 mins
Grouping DataFrame
Video - 00:08:21 mins
Calculating Summary Statistics of DataFrame
Video - 00:15:21 mins
Data Preparation
You will be able to clean the data and preprocess the dara for further analysis and creating models.
Detecting Missing Values
Video - 00:15:50 mins
Imputing Missing Values
Video - 00:20:12 mins
Detecting Outliers
Video - 00:24:28 mins
Treating Outliers
Video - 00:17:23 mins
Correlation Analysis and Feature Selection
Video - 00:30:04 mins
Encoding Categorical Values
Video - 00:26:46 mins
Data Splitting
Video - 00:10:08 mins
Data Normalization
Video - 00:29:51 mins
Classic Statistical Linear Regression Models
You will be able to develop a classic Statistical Linear Regression Models, interprete the results, improve it, evaluate it and visualizae the results.
Statistical Modelling Process
Video - 00:04:20 mins
Data Normalization in Classic Statistical Regression
Video - 00:05:33 mins
Model Estimation and Result Interpretation
Video - 00:11:21 mins
Multicollinearity
Video - 00:09:36 mins
Model Improvement
Video - 00:12:12 mins
Model Evaluation
Video - 00:08:00 mins
Model Result Visualization
Video - 00:07:18 mins
Machine Learning Linear Regression Models
Your will be able to develop Machine Learning Linear Regression Models, and you can train a model, evaluate it, improve it and visualize the results.
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