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What you'll get

  • Job Credibility
  • Certification Valid for Life
  • On-demand video*
  • E-Book
  • Self-Paced Learning
  • Certificate of Completion

Exam details

  • Mode of Exam : Online
  • Duration : 1 Hour
  • Multiple Choice Questions are asked
  • No. of Questions are asked : 50
  • Passing Marks : 25 (50%)
  • There is no negative marking

Want to learn how to integrates Django with pandas and other tools? Want to learn Django with data science?  In this online Django with data science course, the student will learn to create professional and appealing UI in Django for data science purposes. The course will help students explore the framework's concepts and will also understand pandas, Numpy, Mataplotlib, and seaborn for creating analytic tools. In this high-quality and comprehensive training program in Django, the student will learn fascinating concepts and fundamentals to perform their tasks smoothly and efficiently for data science purposes. 

What will the student learn in this online Django for Data Science course?

  • The student will understand the integration of Django for data science libraries such as pandas, matplotlib, and NumPy.
  • In this Django course, the student will learn about basic data science, function view, and populating the database from CSV.
  • You will also learn semantic UI framework, Django forms, and model forms in detail. 
  • During the course, you will be taught with many examples and learn everything comprehensively. 
  • In this course, we have covered the information with a 100 percent practical project that means you will be learning with the projects on Django to understand the concepts deeply. 
  • By the end of the course, you will have a complete understanding of integrating Django with python and working on the project that you get.

Course Content

Total: 52 lectures
  • How to get Visual Studio code and Anaconda
  • Setting Up the Django Project Part I
  • Setting Up the Django Project Part II
  • Creating the First Model
  • Creating Another Model
  • Creating Our First View (with pandas Dataframes)
  • Adding Static Files
  • Creating a Chart Selection Form
  • Adding JS to the Form
  • Sending the Data to the View
  • Displaying Error Messages
  • Adding Objects
  • Working with the Date
  • Performing GroupBy
  • Chart Function Part I
  • Chart Function Part II
  • Chart Function Part III
  • Displaying the Chart
  • Styling the Error Message
  • Closing the Error Message
  • Creating Modal with Price Statistics
  • Applying a Fix to the Chart and Button Creation
  • Creating Purchase View
  • Creating Django Model Form
  • Finishing Django Model Form
  • Testing the Model Form
  • Adding Send Confirmation
  • Navigation to the Purchase View
  • Remarks on the Chart View
  • Creating the CSV Model
  • Setting Up the Upload View
  • Creating the Django Form for File Upload
  • Resetting the Database
  • Chart View Fix
  • Exploring the CSV File - Sales Data
  • Saving CSV File via Form
  • Opening the CSV File - Sales Data
  • Populating the Database from CSV File - Sales Data
  • Creating Customers App and Model
  • Creating Customer View
  • Setting Up Customer View
  • Finishing the Customer View
  • Working on the Sales View Part I
  • Working on the Sales View Part II
  • Styling the Graphs
  • Creating Login Form and Login View
  • Working on the Login
  • Continue Working on the Login
  • Final Touches for the Login
  • Logout View
  • Outro
  • Introduction to Data Science


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