Go Back

The Friendly Data Science Handbook 2020

4.99

Save yourself the countless hours and get my 48 page data science handbook that will cover all the important concepts on how you can learn data science and prepare for those job interviews.

Packed with practical advice, resources, and fundamental principles that you can use anywhere.

What's inside:

👉 Learning Path for Data Science

👉 Machine Learning Guide

👉 Portfolio and Project Building Tips

👉 30+ Technical & Behavioral Interview Questions

👉 Resume, Cover Letter, & pitch templates

👉 And more!

I'll send you the PDF Ebook directly to you and answer any questions that you may have.

Packed with practical advice, resources, and fundamental principles that you can use anywhere.

What's inside:

👉 Learning Path for Data Science

👉 Machine Learning Guide

👉 Portfolio and Project Building Tips

👉 30+ Technical & Behavioral Interview Questions

👉 Resume, Cover Letter, & pitch templates

👉 And more!

I'll send you the PDF Ebook directly to you and answer any questions that you may have.

Quantity

Coming soon

Coming soon

**Welcome to ClaoudML****Free Data Science & Machine Learning Resources****Do you want free resources?**Do you want more resources on Data Science, Analytics, and Machine Learning? Simply enter your email below and I'll send you weekly updates.

**Free resources won't hurt you!**Who is Randy Lao?

**You're on a journey to learn Data Science, and I'm here to help you along the way!**My name is

**Randy Lao**☁️**.**I like to contribute my share of resources with you all. After realizing that most data science resources are hard to find to those new to the field, I want to make this site an easily accessible way for you to get your materials.**These resources should come in handy to any data scientists at all levels of experience.****Pass the baton**–**Share this site with your friends!****My Services**I would love to help you out with anything, just email me at

**randylaosat@gmail.com**📝 Resume Revamp

Provide crucial feedback + revisions on your resume to land those interview calls easily.

🙋 1-on-1 Mentoring

Provide tailored coaching and outline a clear roadmap for you to follow, including portfolio building and interview tips.

💎 LinkedIn Optimization

Provide the inside scoop of how recruiters use LinkedIn and how you can leverage it to stand out from the crowd.

**All Your Guidance in 1 Book**The e-book that will help you land your data science job.

The Friendly Data Science Handbook 20204.99Save yourself the countless hours and get my 48 page data science handbook that will cover all the important concepts on how you can learn data science and prepare for those job interviews.

Packed with practical advice, resources, and fundamental principles that you can use anywhere.

What's inside:

👉 Learning Path for Data Science

👉 Machine Learning Guide

👉 Portfolio and Project Building Tips

👉 30+ Technical & Behavioral Interview Questions

👉 Resume, Cover Letter, & pitch templates

👉 And more!

I'll send you the PDF Ebook directly to you and answer any questions that you may have.QuantityComing soonData Science☁️

**"Data Science is watching you"**Data Science Resources

The best curated list of Data Science materials on the web!

This is a must read to prepare yourself for the Data Science Interview!

All the resources you need to learn Web Scraping in Python + BeautifulSoup

Machine Learning ☁️

**"Machine Learning is the future"**Machine Learning Resources

All of the best Machine Learning resources.

The foundations of Machine Learning is a must. Here are some of the most essential concepts you need to know for Machine Learning.

A new approach to learn Machine Learning Google Style. This is a crash course series!

Start Here if you are new to Machine Learning! This article will cover the basics in an easy manner.

A nice slide presentation about Deep Learning and Machine Learning. It's so GOOD! By Tess Ferranandez

"Reading one book is like eating one potato chip"

Free Books ☁️

Data Science & Machine Learning Books

They are all free!

Instagram

Follow @data.rl

Math and Statistics ☁️

"There are three kinds of lies - lies, damned lies and statistics."

Essential Math & Statistics

The essential maths to understand Data Science and Machine Learning

*Matrices, Vectors, Eigenvalues/Eigenvectors, Linear Transformations & Equations**Sampling Distribution, Central Limit Theorem, Hypothesis Testing, Types of Errors, ANOVA, Chi-Square, T-Test**Random Variables, Types of Distributions, Sampling, Conf. Intervals, Z Scores**Formulating a Real Problem to a Mathematical Model**Gradient Algorithms & Objective Functions*Trees, Nodes, Edges

Discussion Page ☁️

Don't be shy. We don't bite.

Feedback

Feedback is greatly appreciated.You + Us = Awesome.

© 2018

Powered By

Cookie Use

We use cookies to ensure a smooth browsing experience. By continuing we assume you accept the use of cookies.