2023 CORE: Data Science and Machine Learning

A complete survey of all core skills required on the job
What you'll learn
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
Requirements
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
Description
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 Engineer
You 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!

Who this course is for:
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.

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