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info

Complete all chapters to get certificate

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Brief Introduction

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Different types of data? How to work with them? If your eyes are wide open, don't worry, let's start with a brief overview of the pandas library and learn how to work with it in the future.

Data Types

Data Processing Methods

Dataset: Test and Training

Deleting an "Extra" Data

Changing the Data Type

Processing Quantitative Data

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This chapter discusses in detail how to work with quantitative data, what methods it is processed with, how data scaling and normalization differ, and much more.

Data Scaling

Data Scaling vs Data Normalization

Removing Outliers

Removing Missing Values

Data Augmentation: Synthetic Data

Processing Categorical Data

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Is categorical data as simple as you think it is? Find out what is the complexity of processing and working with it.

Methods for Encoding the Categorical Data

One-Hot Encoding

Ordinal Encoding

Label Encoding of the Target Variable

Challenge

Time Series Data Processing

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Time series data processing is the process of handling, analyzing, and preparing data that is presented as a sequence of temporally ordered values. Find out what steps it includes in this section.

Data Type Conversion

Data Cleaning

Stationarity

Denoising

Train/Test Split & Cross Validation

Challenge

Feature Engineering

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Did you know that you can extract even more values from your data and create more informative features? In this section, you will learn how to work with feature engineering.

Technique Idea

Realization

Feature Extraction from Text

Feature Extraction from Images

Feature Extraction from Time Series

Challenge

Moving on to Tasks

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You have reached the end of this course. Let's test your knowledge! There are 3 tasks for you to solve.

Challenge 1

Challenge 2

Challenge 3