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Ultimate Streamlit Industry Guide

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Maxim Migutin

2:03:06

130 View
  • 1 - Welcome.mp4
    02:31
  • 2 - Course contents.mp4
    01:58
  • 3 - Getting to know each other.mp4
    01:41
  • 4 - Motivation to learn Streamlit.mp4
    08:20
  • 5 - Launching an App locally in 5mins.mp4
    03:12
  • 5 - fast-kickoff.zip
  • 6 - App architecture ML pipeline behind it.mp4
    06:28
  • 7 - Defining the Business Problem.mp4
    04:39
  • 8 - Industry workflow.mp4
    07:51
  • 8 - car pricing dataset kaggle.zip
  • 9 - Understanding the App Codebase.mp4
    15:22
  • 9 - case1-local.zip
  • 10 - Packaging App into Docker.mp4
    09:29
  • 10 - a great minicourse to get started with docker.zip
  • 10 - docker in 10 minutes.zip
  • 11 - Setting up GCP part 1.mp4
    08:26
  • 11 - installing gcloud cli locally.zip
  • 12 - Setting up GCP part 2.mp4
    07:43
  • 13 - Cloud deployment part 1.mp4
    09:54
  • 13 - case2-cloud.zip
  • 14 - Cloud deployment part 2.mp4
    03:57
  • 15 - Understanding the pipeline.mp4
    03:29
  • 16 - Setting up GitLab.mp4
    11:31
  • 16 - case3-cloud-CICD.zip
  • 16 - how to set up your ssh.zip
  • 17 - Deployment.mp4
    08:39
  • 18 - Improvement ideas.mp4
    03:27
  • 18 - mlflow model registry.zip
  • 19 - Ideas to Accelerate Your Career.mp4
    04:29
  • 19 - example of a personal website.zip
  • 19 - system design book.zip
  • Description


    Learn to solve Real World Business Problems with Analytical Apps from an industry professional

    What You'll Learn?


    • Solve Real World Business Problems with Analytical Apps
    • Develop & Enhance your Data Analytics/Data Science portfolio
    • Create a Solid Case to GET PROMOTED in Your Analytics Career
    • Strengthen your Analytics Toolbox with DevOps Skills

    Who is this for?


  • Python enthusiasts, Data Scientists, Data Analysts, Developers, AI professionals
  • More details


    Description

    Would you like to boost your IT career with the help of Analytics and Cloud Technology?


    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 has a really flat learning curve as it's 100% Python-based.

    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 MVP

    • Package your ML models into Web Apps using STREAMLIT

    • Deploy your Apps to the Internet via Google Cloud

    • Upgrade your DS/DA toolbox by solid DevOps skills

    • Automate App Cloud deployment via Gitlab CICD


    Who this course is for:

    • Python enthusiasts, Data Scientists, Data Analysts, Developers, AI professionals

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    Maxim Migutin
    Maxim Migutin
    Instructor's Courses
    Hi! I'm Max!Key facts about me:- I've lived in 5 countries (FR, KOR, KZ, RU, now NL) and traveled across 35- I've helped multiple 11-figure companies improve their business with the help of Analytics, organising effective IT project management: IBM, KFC, Booking- I'm a tier-1 University Professor teaching Graduate (Master) students "HR Analytics" and "AI Industry overview" courses
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 19
    • duration 2:03:06
    • Release Date 2023/02/22