Python For Data Analysis

In this Module we'll Show you python in action, How python is used in data analysis

• intro

  2:22

• What is data analysis

  4:37

• Data Analysis Processes

  3:25

• Quiz

  -

A demonstration of a real life data analysis project using Python, Pandas, SQL and Seaborn.

• Real World Example

  8:04

• Real World example 2

  11:48

• How To Use Jupiter Notebook

  16:49

• How To Use Jupiter Notebook 2

  17:18

Learn why NumPy was such an important library for the data-processing world in Python. Learn about low level details of computations and memory storage, and why tools like Excel will always be limited when processing large volumes of data, Pandas is arguably the most important library for Data Processing in the Python world. Learn how it works and how its main data structure, the Data Frame.

• Intro to Numpy

  4:34

• Low Level Basis

  13:17

• NP bits selection

  6:57

• Np Array

  11:54

• Np Array 2

  11:32

• Intro to pandas

  9:41

• Indexing

  5:00

• Upper Limit.

  6:41

• Pandas Data Structure

  14:33

• Operators

  7:37

• Pandas Plot

  -

• Reading External Data

  7:54

• Quiz

  -

Learn the different types of issues that we'll face with our data: null values, invalid values, statistical outliers, etc, and how to clean them.

• Data cleaning

  -

• Handling Missing Data

  11:37

• Cleaning Unvalidated Data

  -

• Handling Text

  -

• Matplotlib OOP

  -

• Quiz

  -

• Working With Data

  4:18

• Working With Csv

  -

• Working With Sql

  -

• Working With HTML

  6:47

• Pandas Method

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