Express Streamlit Industry Guide: App Online In < 3 Hours

Learn to solve Real World Business Problems with Streamlit Python & Showcase Your Work to the World

What you'll learn
Solve Real World Business Problems with Analytical Apps using Streamlit Python
Develop & Enhance your Data Analytics/Data Science portfolio with Streamlit Apps
Create a Solid Case to GET PROMOTED in Your Analytics Career
Strengthen your Analytics Toolbox with DevOps Skills while deploying Streamlit projects to the Cloud

Requirements
Basic Python experience

Description
xxxxx[Course Updates]:- 09.2023: + Additional materials on GCP deployment- 12.2023: + "Streamlit + DuckDB" section. Learn incorporating "Analytical data base of the future" to speed up Streamlit appsxxxxxWould you like to boost your IT career with the help of Analytics and Cloud Technology?Have you not yet heard about Streamlit?You've come to the right place!There's no better way to achieve that than by solving a Real World Business Problem and sharing your solution with the audience in an interactive & web-accessible format!Streamlit has been helping me accomplish just that in IT, Food and Travel industries over the last 4 years.With the help of this amazing open-source framework I've drawn attention of C-level management to the areas for business improvement, grew my Team and even changed the country where I live & work!Streamlit python has a really flat learning curve.At the same time it enables you to go from an idea to a full-scale App running somewhere in the Internet in less than 1 day!Join me in this fun and Industry-shaped course to get new skills and improve your Tech&business acumen!By the end of this course you will be able to:Shape your ideas into a feasible Analytical App MVPPackage your ML models into Web Apps using Streamlit pythonDeploy your machine learning projects in the form of Apps to the Internet via Google CloudUpgrade your DS/DA toolbox by solid DevOps skillsAutomate App Cloud deployment via Gitlab CICDCreate Streamlit Analytical Apps that use DuckDB as backend data base solution (your Apps will be faaaaast!)The course isn't static! I collect students' feedback and periodically update the materials: add new lectures and practice cases!

Who this course is for:
Python enthusiasts, Data Scientists, Data Analysts, Developers, AI professionals