Published 12/2022Created by Isaac FaberMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 267 Lectures ( 28h 32m ) | Size: 11.4 GB
Learn all necessary core skills for Data Analysis, Data Science, and Machine Learning Understand the first principles of data science and why it is so popular and important Learn how to use, from scratch, Python, R, SQL, Tableau, and MS Excel for data science Learn about a broad range of data science and machine learning libraries and resources Build and host a personal resume and portfolio of data science projects using GitHub Pages Learn about key supporting skills like Git/version-control, Kaggle, Databases, Command Line tools, and much more! Learn how to setup development environments from scratch in R and Python Learn about important related technologies like cloud, docker, and web development, Learn to deploy a machine learning model using docker Comfortable with high school (primary school) math. It will be much easier (but not required) if you have some familiarity with some type of computer programming This is an ambitious course. The goal here is simple: Only teach what you need to know for day 1 of your first data science job. No fluff, nothing out of context, no topics that are not relevant to real world applications. We will cover EVERY core topic and tool required for those new to data science: Python, R, SQL, Useful Math/Stats/Algorithms, Tableau, and Excel in depth. The course will cover skills that align with three different job types:- Data Analyst- General Data Scientist- Machine Learning EeerYou can expect to learn from first principles the foundational topics and tools used in practice today. We will avoid topics that are not useful or are simply too advanced when starting out. Your journey will be guided by the Data Science Road Map, a collection of the best resources gathered through years of experience by the instructor.In addition, we will survey every important technology required on the job including GitHub, Kaggle, the basics of cloud, web development and docker. With over 200 videos, readings, and assignments, you can be sure you will be well prepared to join the data community.If you are just getting started or want to fill in some of your knowledge gaps this course is for you! Those who feels like they don't know where to start with data science and machine learning Those tired of courses that don't show the entire picture of data science and leave them asking 'now what?' Those interested in starting a journey into the data science and machine learning career field. For those wanting to super-charge an existing skill set with the latest techniques and tools. HomePage: gfxtra__2023_CORE_.part01.rar.html gfxtra__2023_CORE_.part02.rar.html gfxtra__2023_CORE_.part03.rar.html gfxtra__2023_CORE_.part04.rar.html gfxtra__2023_CORE_.part05.rar.html gfxtra__2023_CORE_.part06.rar.html gfxtra__2023_CORE_.part07.rar.html gfxtra__2023_CORE_.part08.rar.html gfxtra__2023_CORE_.part09.rar.html gfxtra__2023_CORE_.part10.rar.html 
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