Master Streamlit: Build Interactive Data Apps with Python — 90% Off Coupon

Go from Python scripts to interactive web apps and dashboards. Learn widgets, layouts, vizualization, APIs & deployment

4.3 171 students enrolledCreated by Andy BekLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Master Streamlit: Build Interactive Data Apps with Python
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Andy Bek
•Coupon Verified On: January 7, 2026
•Difficulty Level: Advanced
•Category: IT & Software
•Subcategory: Streamlit
•Duration: 9h of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Build interactive data dashboards with Python, using Streamlit, without needing web development expertise · Transform static data analyses (Pandas, NumPy) into engaging web applications that can be shared and explored by othersBI Professionals/Report Builders · Create custom data-driven tools and visualizations, using Streamlit components, to prototype ideas and explore datasets rapidly
•Prerequisites: Basic computer literacy. No prior programming experience is required. We'll cover all the necessary Python and Streamlit concepts from the ground up.
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓Build interactive data dashboards with Python, using Streamlit, without needing web development expertise .
✓Transform static data analyses (Pandas, NumPy) into engaging web applications that can be shared and explored by othersBI Professionals/Report Builders .
✓Create custom data-driven tools and visualizations, using Streamlit components, to prototype ideas and explore datasets rapidly .
✓Deploy interactive Streamlit apps to the cloud and share them with anyone, using free and easy-to-use hosting platforms .
✓Integrate external data sources (CSV, JSON, APIs) into Streamlit apps to create dynamic and up-to-date visualizations .
✓Design intuitive user interfaces for data exploration using Streamlit's layout options (columns, tabs, expanders) .
✓Customize the appearance of Streamlit apps using themes and custom CSS to match branding or personal preferences.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•Basic computer literacy. No prior programming experience is required. We'll cover all the necessary Python and Streamlit concepts from the ground up.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Andy Bek. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Andy Bek
•Field: IT & Software
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Master Streamlit: Build Interactive Data Apps with Python Coupon Worth It?

Master Streamlit: Build Interactive Data Apps with Python is a it & software course offered on Udemy by instructor Andy Bek, spanning 9h of on-demand content. It holds a 4.3/5 rating from over 171 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on January 7, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.3/5) and enrollment numbers (171 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of January 2026. For individual student reviews, visit the course page directly.

4.3
171 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

Frequently Asked Questions

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