Python with Data Science
Learn Data Science + Python to do Web Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning
Created by Eduonix Learning Solutions, Last Updated 26-Sep-2019, Language:English
Description
This course is designed with the aim of providing you all the basics and essential concepts of Python and Data Science in a very interactive manner. It will help you gain, test and master your skills in Python & Data Science.
In this online tutorial, you will learn about-
- Python
- Data Science
- Data Scraping
- Machine Learning
- Deep Learning
Numerous topics and concepts which are taught in this online course are-
- Variables & Strings
- Booleans & Logical Operators
- Functions & Packages
- Lists, Tuples and Dictionaries
- For & While Loops
- Panda & Data Frames
- Data Visualization
- Web Data Scraping
- Basic Natural Language Processing (NLP)
- Basic Machine Learning & Deep Learning
Moreover, our support team will always there for any of your queries which may arise during this course. Additionally, this course will also be updated constantly for improving the course content and giving you the right knowledge with the time.
So, what are you waiting for? Take this course for having an exploratory, engaging, and enlightening learning experience.
Requirements
- Nothing required apart from a computer and an internet connection.
- Willingness to learn something new.
Course Content
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Introduction
1 Lectures
00:01:41
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Environment
4 Lectures
00:48:32
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Installing dependencies
00:10:10 -
Real world examples
00:07:59 -
Using Anaconda and Jupyter notebooks
00:14:11
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Integers and Strings
7 Lectures
01:14:34
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Introduction to variables
00:17:53 -
Integers, floats, and math operators
00:14:31 -
Strings and indexing part 1
00:13:14 -
Strings and indexing part 2
00:09:10 -
Using Modulo with Strings
00:09:24 -
Problem
00:03:33 -
Answer
00:06:49
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-
If Statements and Basic Programming Logic
8 Lectures
01:17:33
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Booleans and Comparison Operators
00:13:56 -
If / Else Statements
00:10:17 -
Elif and Logic Operators
00:11:36 -
Try / Except Statements
00:10:27 -
Finally Statements and Advance Try/Except Logic
00:09:10 -
Exception Types
00:12:58 -
If Statements And Basic Programming Logic - Problem
00:02:34 -
If Statements And Basic Programming Logic - Answers
00:06:35
-
-
Lists, Tuples, Dictionaries and For/While Loops
8 Lectures
01:40:42
-
Lists and tuples
00:18:22 -
Dictionaries
00:16:24 -
For loops
00:16:06 -
While loops
00:11:31 -
Loop logic
00:13:00 -
List/Dictionary comprehensions
00:12:00 -
Lists, Tuples, Dictionaries and For/While Loops - Problem
00:02:21 -
Lists, Tuples, Dictionaries And For/While Loops - Answer
00:10:58
-
-
Functions and Packages
8 Lectures
01:37:08
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Scripting in Python
00:12:56 -
Functions
00:12:36 -
Function parameters and scope
00:10:15 -
Packages and pip
00:12:54 -
Reading Files and the with statement
00:17:00 -
Functions And Packages - Problem
00:02:46 -
Functions And Packages - Answer
00:08:03 -
Writing Out to Files
00:20:38
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-
Pandas and Data Frames
7 Lectures
01:20:39
-
Pandas and data Frames
00:13:02 -
Pandas part 2
00:17:33 -
Introduction to statistics
00:13:21 -
Statistics part 2
00:10:26 -
Pandas and Data Frames - Problem
00:05:11 -
Pandas and Data Frames - Answer
00:05:54 -
Practical analysis
00:15:12
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-
Visualization - Scatter Plots, Bar Plots
6 Lectures
01:11:18
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Introduction to visualization
00:13:31 -
Plotting and styling
00:14:22 -
Scatter plots
00:13:22 -
Bar Plots and standard deviation
00:14:11 -
Visualization Scatter Plots, Bar Plots - Problem
00:03:28 -
Visualization - Scatter Plots, Bar Plots - Answer
00:12:24
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-
Scraping the Web with Python
5 Lectures
00:54:57
-
Scraping and HTML
00:14:55 -
Building a simple crawler
00:12:12 -
Scraping data from HTML
00:14:47 -
Scraping the Web With Python - Problem
00:03:44 -
Scraping The Web With Python - Answer
00:09:19
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-
Basics of Natural Language Processing (NLP)
5 Lectures
00:59:22
-
Introduction to NLP
00:13:12 -
Basic NLP
00:16:24 -
Introduction to sentiment analysis
00:19:03 -
Basic NLP - Problem
00:02:30 -
Basic NLP - Answer
00:08:13
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-
Introduction to Machine Learning
6 Lectures
01:07:47
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Introduction to machine learning
00:15:35 -
Introduction to reinforcement learning
00:05:30 -
Introduction to random forest modeling
00:16:36 -
Introduction to deep learning
00:16:07 -
Machine Learning - Problem
00:07:05 -
Machine Learning - Answer
00:06:54
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Optional Classes
3 Lectures
00:35:39
-
Python Style Guidelines
00:11:26 -
Navigating Directories and os Package
00:12:23 -
Creating a Class Type
00:11:50
-
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Project #1 - Analyze and visualize data on Kaggle
2 Lectures
00:07:24
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Project 1 - Analyze and visualize data on Kaggle
00:04:37 -
Project 1 Answer
00:02:47
-
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Project #2 - Natural language processing
2 Lectures
00:07:02
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Project 2 - Natural language processing
00:02:19 -
Project 2 Answer
00:04:43
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Project #3 - Create a simple support vector machine
2 Lectures
00:04:52
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Project 3 - Create a simple support vector machine
00:01:46 -
Project 3 Answer
00:03:06
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Eduonix Learning Solutions
Eduonix brings quality skill-building content and world-class learning experience to everyone using both online and offline mediums. Edunix is a premier training and skill development organization that works with a vision to bring exceptional training content, pedagogy, and best learning practices at affordable costs. We identify industry veterans and content creators around the globe and bring them close to the global audience using a number of intuitive platforms for easy and affordable access to quality content. Eduonix offers easy-to-understand online courses and workshops for everyday people. If you have ever wanted to learn a new skill, but don't want to attend four years of college to do it, we have a solution for you.
