Course Outline
Module I: Building User Interfaces
1. First Application in Streamlit
2. Displaying Content – Text, Markdown, Headers
3. Organizing Layout – Tabs and Multi-page Applications
4. Interactive Input Elements (Selectbox, Radio, Checkbox, Text Fields)
5. Loading and Downloading Files by Users
6. Visual Progress Indicators (Progress Bar, Spinner)
7. Presenting Data in Table and JSON Format
8. Visualizations – Integration with Chart Libraries
9. Designing Forms
Module II: Advanced Dashboard Elements
1. Managing User Session State
2. Caching Mechanisms for Performance Optimization
3. Authentication Configuration and Secret Storage
4. Connecting to Databases
Module III: Practical Projects
1. Form Application with Database Storage
2. Analytical Dashboard with Data Filtering and Visualization
Testimonials (3)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
Preparation of materials and code (with comments). Coherence of the teaching process and topic progression. Preparation of the instructor.
Piotr - ArcelorMittal
Course - Machine Learning with Python – 4 Days
Machine Translated
The trainer was very available to answer all te kind of question I did
