nisahanum/course-resources-python-data-analysis-for-data-science-and-machine-learning

This repository contains all the course materials for Python Data Analysis For Data Science and Machine Learning course

Course-Resources-Python-Data-Analysis-For-Data-Science-and-Machine-Learning

This repository contains all the course materials for Python Data Analysis For Data Science and Machine Learning course on UDEMY

Learn Industry Level Data Cleaning, Data Preprocessing, And Advanced Feature Engineering. All You Need Is Covered!!

Course Link: https://bit.ly/2YF7hKi

Interested in the field of Data Analytics, Business Analytics, Data Science or Machine Learning?

Do you want to know the best ways to clean data and derive useful insights from it?

Do you want to save time and easily perform Exploratory Data Analysis(EDA)?

Then this course is for you!!

According to Forbes: "60% of the Data Scientist's or Data Analyst's time is spent in cleaning and organising the data..."

In this course, you will not just get to know the industry level strategies but also I will practically demonstrate them for better understanding.

This course has been practically and carefully designed by industry experts to reflect the real-world scenario of working with messy data.

This course will help you learn complex Data Analytic techniques and concepts for easier understanding and data manipulations.

We will walk you through step-by-step on each topic explaining each line of code for your understanding.

This course has been structured in the following form:

Introduction To Basic Concepts

Introduction To Data Analysis Tools

BONUS: Python Crush Course

How To Properly Deal With Python Data Types

How To Properly Deal With Date and Time In Python

How To Properly Deal With Missing Values

How To Properly Deal With Outliers

How To Properly Deal With Data Imbalance

How To Properly Deal With Data Leakage

How To Properly Deal With Categorical Values

Beginner To Advanced Data Visualisation

Different Feature Engineering Techniques including:

Feature Encoding

Feature Scaling

Feature Transformation

Feature Normalisation

Automated Feature EDA Tools

pandas-profiling

Dora

Autoviz

Sweetviz

Automated Feature Engineering

RFECV

FeatureTools

FeatureSelector

Autofeat

Web scraping

Wikipedia

online bookstore

Amazon .com

This course aims to help beginners, as well as an intermediate data analyst, students, business analyst, data science, and machine learning enthusiasts, master the foundations of confidently working with data in the real world.

Course Link: https://bit.ly/2YF7hKi