Greetings.
Free Data Analytics and Data Science Resources
Who is Daniela Lark?
You're on a journey to learn Data Analytics, and I'm here to help you along the way!
My name is Daniela Lark 🍊. I'm currently a Data Analyst at Amazon and have also worked at Riot Games. 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/analysts at all levels of experience.
Pass the baton – Share this site with your friends!
Where I've Worked At
Data Analyst @
Amazon Analyst Intern @
Riot Games All Your Guidance in 1 Book
The e-book that will help you land your data job.
The Friendly Data Analytics Handbook 2024
$9.95Save yourself the countless hours and get my 48 page data analytics handbook that will cover all the important concepts on how you can learn data analytics and prepare for those job interviews (I used these to help land my job at Amazon).
Packed with practical advice, resources, and fundamental principles that you can use anywhere.
What's inside:
👉 Learning Path for Data Science/Analytics
👉 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!
Instagram
Follow @learnwithdanielalark
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!
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!
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
The Blog
My awesome collection of articles
There are no published blog posts yet.Feedback
Feedback is greatly appreciated.You + Us = Awesome.
© 2018