Python and Data Science : A Practical Guide [Video]

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Python and Data Science : A Practical Guide [Video]

Eduonix, Michael Mustaine

Friday, March 29, 2019

New Release!

Learn Data Science and Python to do Web Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning...

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Video Details

ISBN 13 9781838553012

Course Length 13 hours 9 minutes

Introduction

Environment

Introduction to data science

Installing dependencies

Real world examples

Using Anaconda and Jupyter notebooks

Integers and Strings

Introduction to variables

Integers, floats, and math operators

Strings and indexing part 1

Strings and indexing part 2

Using Modulo with Strings

Problem

Answer

If Statements and Basic Programming Logic

Booleans and Comparison Operators

If / Else Statements

Elif and Logic Operators

Try / Except Statements

Finally Statements and Advance Try/Except Logic

Exception Types

Problem

Answer

Lists, Tuples, Dictionaries and For/While Loops

List/Dictionary comprehensions

Problem

Answer

Functions and Packages

Scripting in Python

Functions

Function parameters and scope

Packages and pip

Reading Files and the with statement

Writing Out to Files

Problem

Answer

Pandas and Data Frames

Pandas and data Frames

Pandas part 2

Introduction to statistics

Visualization - Scatter Plots, Bar Plots

Introduction to visualization

Plotting and styling

Scatter plots

Bar Plots and standard deviation

Problem

Answer

Scraping the Web with Python

Scraping and HTML

Building a simple crawler

Scraping data from HTML

Problem

Answer

Basics of Natural Language Processing (NLP)

Introduction to NLP

Basic NLP

Introduction to sentiment analysis

Problem

Answer

Introduction to Machine Learning

Introduction to machine learning

Introduction to reinforcement learning

Introduction to random forest modeling

Introduction to deep learning

Problem

Answer

Optional Classes

Python Style Guidelines

Navigating Directories and os Package

Creating a Class Type

Project #1 - Analyze and visualize data on Kaggle

Project 1 - Analyze and visualize data on Kaggle

Project 1 Answer

Project #2 - Natural language processing

Project 2 - Natural language processing

Project 2 Answer

Project #3 - Create a simple support vector machine

Project 3 - Create a simple support vector machine

Project 3 Answer

Video Description

This course is designed to teach you the basics of Python and Data Science in a practical way, so that you can acquire, test, and master your Python skills gradually.
You’ll see that you'll learn all these things with Python:

Using Variables & Strings
Using Booleans & Logical Operators
Using Functions & Packages
Using Lists, Tuples and Dictionaries
Using For & While Loops
Using Panda & Data Frames
Doing Data Visualization
Scraping Web Data
Doing some basic Natural Language Processing (NLP)
Basics of Machine Learning & Deep Learning

And much more to come.

Stlye and Approach

This course is designed in a practical way to teach you the basics of Python and Data Science. A complete course packed with step-by-step instructions, working examples, and helpful advice. This course is clearly divided into small parts that will help you understand each part individually and help you learn at your own pace.

Video Preview

What You Will Learn

How to set up your Python environment
How to manipulate String & Variables with Python
How to use Booleans & Logical Operators with Python
How to use Functions & Packages with Python
How to use Pandas & Data Frames with Python
How to perform Data Visualization with Python
How to do Web Scraping with Python
The Basics of Natural Language Processing (NLP)
The Basics of Deep Learning & Reinforcement Learning

Authors

Eduonix

Eduonix Learning Solutions creates and distributes high-quality technology training content. Their team of industry professionals have been training manpower for more than a decade. They aim to teach technology the way it is used in industry and the professional world. They have a professional team of trainers for technologies ranging from mobility, web to enterprise and database and server administration

Michael Mustaine

Michael Mustaine is a polymath with academic and professional experience in psychology and data science. He has created innovative human-centric analysis for user segmentation, feature selection, machine learning, and key performance metric generation specialized to individual client needs. Recent clients include: cryptocurrency hedgefunds, not-for-profit data journalists, and universities. He provide interpretable evaluations of complex behaviour with a degree of innovation that only comes from being a trailblazer in the field.

Introduction

Environment

Introduction to data science

Installing dependencies

Real world examples

Using Anaconda and Jupyter notebooks

Integers and Strings

Introduction to variables

Integers, floats, and math operators

Strings and indexing part 1

Strings and indexing part 2

Using Modulo with Strings