Advanced Data Science: ML, AI, GUI & VUI with Python

Course content

  • Introduction
  • Python Programming Tutorials
  • Numpy Library for Data Science, Machine Learning and Artificial Intelligence
  • Pandas Library for Data Science and Data Analytics
  • Matplotlib Library for Data Science and Data Visualization
  • Seaborn Library for Data Science and Data Visualization
  • Plotly Library for Data Science and Data Visualization
  • Tkinter Tutorial for GUI
  • Speech Recognition Fundaments and Projects
  • Different Sources for Dataset
  • Statistical Data Analysis
  • What is Machine Learning and it’s types
  • Data Science with Machine Learning Algorithms Case Study
  • Scikit-learn Library for Machine Learning and Data Science
  • A1 Case Study on Unmanned Ground Vehicle
  • Additional and New Learning

GUI Programming with Python and PyQt Training Course

  • Introduction
  • Downloading and Installing PyQt, PyCharm, and Qt Designer
  • Preparing the Development Environment
  • Navigating PyCharm and Qt Designer
  • Creating a UI in Qt Designer
  • Writing the Application Logic in PyCharm
  • Running the Application
  • Expanding the Application
  • Adding Widgets, Charts, etc.
  • Creating Application Layers
  • Debugging the Application
  • Accessing a Database from within the Application
  • Code Organization and Design Patterns
  • MVP, MVVM and Other Design Patterns
  • Testing Strategies for the Application
  • Summary and Conclusion

GUI Programming and CSV in Python: Basics (Project Oriented)

GUI Programming in Python 3


  • Yes, A basic knowledge in Python is preferred


This course will be helpful for you if you’re a Python intermediate who know about Lists, dictionary in Python and trying to learn to develop something in Python 3. In this course, You’ll learn about the tkinter module available in Python and develop simple GUI using it.

After completing this course, You’ll be able to

1. Write iPython notebook scripts

2. Describe what is a GUI and create the same

3. Describe what are modules, functions, objects and methods (Prior knowledge is appreciated for this course)

4. Create simple applications using tkinter module in Python

5. Handle CSV Files (Read/Write) in Python

and so on.

The graphical user interface (GUI is a form of user interface that allows users to interact with electronic devices through graphical icons and audio indicator such as primary notation, instead of text-based user interfaces, typed command labels or text navigation. GUIs were introduced in reaction to the perceived steep learning curve of command-line interfaces (CLIs),which require commands to be typed on a computer keyboard.

The actions in a GUI are usually performed through direct manipulation of the graphical elements. Beyond computers, GUIs are used in many handheld mobile devices such as MP3 players, portable media players, gaming devices, smartphones and smaller household, office and industrial controls. The term GUI tends not to be applied to other lower-display resolution types of interfaces, such as video games (where head-up display (HUD)is preferred), or not including flat screens, like volumetric displays

Let’s not write much. I’ll see you there in my course.

Who this course is for:

  • Beginner Python developers

Course content