oaxino Posted December 20, 2022 Report Share Posted December 20, 2022 Published 12/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.49 GB | Duration: 2h 3mLearn to solve Real World Business Problems with Analytical Apps from an industry professionalWhat you'll learnSolve Real World Business Problems with Analytical AppsDevelop & Enhance your Data Analytics/Data Science portfolioCreate a Solid Case to GET PROMOTED in Your Analytics CareerStrengthen your Analytics Toolbox with DevOps SkillsRequirementsBasic Python experienceDescriptionWould 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 MVPPackage your ML models into Web Apps using STREAMLITDeploy your Apps to the Internet via Google CloudUpgrade your DS/DA toolbox by solid DevOps skillsAutomate App Cloud deployment via Gitlab CICDOverviewSection 1: IntroLecture 1 Welcome!Lecture 2 Course contentsLecture 3 Getting to know each otherLecture 4 Motivation to learn StreamlitSection 2: Fast kick-offLecture 5 Launching an App locally in <5minsLecture 6 App architecture & ML pipeline behind itSection 3: Solving Real World problem (Locally)Lecture 7 Defining the Business ProblemLecture 8 Industry workflowLecture 9 Understanding the App CodebaseLecture 10 Packaging App into DockerSection 4: Upgrading the Solution (CLOUD)Lecture 11 Setting up GCP: part 1Lecture 12 Setting up GCP: part 2Lecture 13 Cloud deployment: part 1Lecture 14 Cloud deployment: part 2Section 5: Going PRO (Adding CI-CD)Lecture 15 Understanding the pipelineLecture 16 Setting up GitLabLecture 17 DeploymentLecture 18 Improvement ideasSection 6: Career Life HacksLecture 19 Ideas to Accelerate Your CareerPython enthusiasts, Data Scientists, Data Analysts, Developers, AI professionalsDownload linkrapidgator.net:https://rapidgator.net/file/236ab4f6d391e7bc3a5acdc7bbeec23b/vxtbp.Ultimate.Streamlit.Industry.Guide.part1.rar.htmlhttps://rapidgator.net/file/5e3a96f1d5f01ed834fcd50e6dfc36f0/vxtbp.Ultimate.Streamlit.Industry.Guide.part2.rar.htmluploadgig.com:https://uploadgig.com/file/download/257D30f1bE7d1b06/vxtbp.Ultimate.Streamlit.Industry.Guide.part1.rarhttps://uploadgig.com/file/download/bbdc5aBBCcc10Ec1/vxtbp.Ultimate.Streamlit.Industry.Guide.part2.rarnitroflare.com:https://nitroflare.com/view/7EFB7D43CC52695/vxtbp.Ultimate.Streamlit.Industry.Guide.part1.rarhttps://nitroflare.com/view/9957254282A3A70/vxtbp.Ultimate.Streamlit.Industry.Guide.part2.rar1dl.net:https://1dl.net/et164phas5xh/vxtbp.Ultimate.Streamlit.Industry.Guide.part1.rarhttps://1dl.net/cq10fcb5fy4n/vxtbp.Ultimate.Streamlit.Industry.Guide.part2.rar Link to comment Share on other sites More sharing options...
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