Python + Data Science : Practical Guide [13 Hours]

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

4.40 (50 reviews)
Udemy
platform
English
language
Data Science
category
Python + Data Science : Practical Guide [13 Hours]
1,025
students
13 hours
content
Apr 2019
last update
$44.99
regular price

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

And much more...

Description

[NOTE: This course will be constantly updated & improved as per your feedback. All questions will get answered and the course author (Michael) will be very present to guide you.]


This course was built by Michael Mustaine (Data Scientist & Machine Learning expert) and Eduonix Learning Solutions with a simple idea in mind: teach you the basics of Python + Data Science in a practical way, so that you can acquire, test and master your Python skills gradually. 

If you check the course's curriculum, 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.. 

In any case, Michael will be here for you and answer any questions you may have, and he'll constantly update and improve the course's content. The goal is to make your learning a very interactive process.


So, what are you waiting?! Get the course NOW!

Content

Introduction

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

Lists and tuples
Dictionaries
For loops
While loops
Loop logic
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
Statistics part 2
Practical analysis
Problem
Answer

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

BONUS LECTURE

Bonus Lecture: More Interesting Stuff, Offers and Discounts

Reviews

Yael
June 23, 2021
Me gusta la perspectiva que adopta el maestro de este curso sobre el campo de data science, al ir más allá de los negocios (en lo que se centran la mayoría de los otros cursos que he encontrado antes).
Patrick
December 28, 2019
The instructor is addressing the basic concepts- perfect for a new student of the data science field.

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2017976
udemy ID
11/10/2018
course created date
11/20/2019
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