Django with Data Science
4.5 (8 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.
115 students enrolled

Django with Data Science

Learn how to integrate Django with Pandas, Numpy, Matplotlib, Seaborn
New
4.5 (8 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.
115 students enrolled
Created by Luke Makinia
Last updated 5/2020
English
English [Auto-generated]
Current price: $111.99 Original price: $159.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 7 hours on-demand video
  • 3 articles
  • 4 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Integration of Django and Python data science libraries: Pandas, Matplotlib, Seaborn, Numpy
  • Basics of data science
  • Populate the database from CSV files
  • Function views
  • Semantic UI Framework
  • Django forms & model forms
Course content
Expand all 62 lectures 07:08:42
+ Django Project
60 lectures 05:54:37
Setting up the django project part 2
12:10
Source code
00:01
Course files
00:03
Creating another model
10:05
Creating our first view (with pandas data frame)
28:12
Merging two dataframes
05:08
Adding static files
06:46
Creating chart selection form
13:12
Adding js to the form
03:17
Sending the data to the view
05:11
Displaying error message
08:13
Adding objects
02:43
Working with the date
05:57
Performing group by
04:37
Adding additional logic to the view
06:21
Chart function part 1
10:36
Chart function part 2
03:23
Chart function part 3
08:38
Displaying the chart
07:26
Styling the error message
02:51
Closing the error message
02:50
Creating modal with price statistics
12:09
Adding styling
04:11
Applying a fix to the chart & button creation
03:59
Creating purchase view
04:14
Creating django model form
07:18
Finishing django model form
05:47
Testing the model form
02:33
Adding send confirmation
04:16
Navigation to the purchase view
02:25
Remarks on the chart view
03:48
Adding navbar
07:33
Creating the Csv model
06:14
Setting up the upload view
07:05
Creating the django form for file upload
02:47
Reseting the database
02:10
Chart view fix
03:07
Exploring the csv file - sales data
01:36
Saving csv file via form
04:23
Opening the csv file - sales data
05:23
Transforming rows of the csv file - sales data
04:24
Populating the database from csv file - sales data
12:51
Creating customers app and model
04:29
Creating customer view
08:10
Setting up customer view
04:14
Finishing the customer view
04:00
Working on the sales view part 1
08:38
Working on the sales view part 2
08:04
Styling the graphs
02:49
Styling the graphs
02:49
Creating the home view
08:42
Creating login form and login view
05:18
Working on the login
08:10
Continue working on the login
05:06
Final touches for the login
07:32
logout view
02:59
Outro
02:03
Requirements
  • Basic knowledge of html and python strongly recommended but not mandatory
Description

Create professional and nicely looking User Interface in Django for Data Science with the use of Semantic UI framework. Understand the core concepts behind Pandas, Numpy, Matplotlib & Seaborn in order to create custom analytic tool i the browser for people who don't know anything about programming. This unique course will introduce new concepts step by step and at the end the Student will have a very interesting position in the portfolio.

Who this course is for:
  • Beginner Python Developers