Python + Data Science : Practical Guide [13 Hours]
4.5 (10 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
682 students enrolled

Python + Data Science : Practical Guide [13 Hours]

Learn Data Science + Python to do Web Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning...
4.5 (10 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
682 students enrolled
Last updated 4/2019
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Current price: $10.99 Original price: $69.99 Discount: 84% off
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This course includes
  • 13 hours on-demand video
  • 1 article
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll 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...
Course content
Expand all 75 lectures 13:09:33
+ Environment
4 lectures 48:32
Installing dependencies
10:10
Real world examples
07:59
Using Anaconda and Jupyter notebooks
14:11
+ Integers and Strings
7 lectures 01:14:34
Introduction to variables
17:53
Integers, floats, and math operators
14:31
Strings and indexing part 1
13:14
Strings and indexing part 2
09:10
Using Modulo with Strings
09:24
Problem
03:33
Answer
06:49
+ If Statements and Basic Programming Logic
8 lectures 01:17:33
Booleans and Comparison Operators
13:56
If / Else Statements
10:17
Elif and Logic Operators
11:36
Try / Except Statements
10:27
Finally Statements and Advance Try/Except Logic
09:10
Exception Types
12:58
Problem
02:34
Answer
06:35
+ Lists, Tuples, Dictionaries and For/While Loops
8 lectures 01:40:42
Lists and tuples
18:22
Dictionaries
16:24
For loops
16:06
While loops
11:31
Loop logic
13:00
List/Dictionary comprehensions
12:00
Problem
02:21
Answer
10:58
+ Functions and Packages
8 lectures 01:37:08
Scripting in Python
12:56
Functions
12:36
Function parameters and scope
10:15
Packages and pip
12:54
Reading Files and the with statement
17:00
Writing Out to Files
20:38
Problem
02:46
Answer
08:03
+ Pandas and Data Frames
7 lectures 01:20:39
Pandas and data Frames
13:02
Pandas part 2
17:33
Introduction to statistics
13:21
Statistics part 2
10:26
Practical analysis
15:12
Problem
05:11
Answer
05:54
+ Visualization - Scatter Plots, Bar Plots
6 lectures 01:11:18
Introduction to visualization
13:31
Plotting and styling
14:22
Scatter plots
13:22
Bar Plots and standard deviation
14:11
Problem
03:28
Answer
12:24
+ Scraping the Web with Python
5 lectures 54:57
Scraping and HTML
14:55
Building a simple crawler
12:12
Scraping data from HTML
14:47
Problem
03:44
Answer
09:19
+ Basics of Natural Language Processing (NLP)
5 lectures 59:22
Introduction to NLP
13:12
Basic NLP
16:24
Introduction to sentiment analysis
19:03
Problem
02:30
Answer
08:13
Requirements
  • Nothing required apart from a computer and an internet connection.
  • Willingness to learn something new. :)
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!

Who this course is for:
  • Anyone who wants to learn Python
  • Anyone who wants to learn Data Science
  • Anyone who wants to become a Data Scientist
  • Anyone who wants to learn how to scrape data
  • Anyone who wants to get into Machine Learning
  • Anyone who wants to get into Deep Learning