1 | Topic | Type | Company | Name | Level | Links | Cost | Purchase Notes | Content Notes | Strong Recommendation | Tristan's Notes |
---|---|---|---|---|---|---|---|---|---|---|---|
2 | VBA | Book [PDF] | Kalp Talk | Excel VBA Basics [PDF] | Beginner | https://www.kalptalk.com/post/excel-vba-basics-download-pdf | Free | ||||
3 | VBA | Videos | Youtube | Excel Macro Mastery | All | https://www.youtube.com/c/Excelmacromastery/about | Free | * | |||
4 | R | Online Course | Code Academy | Learn R | Beginner | https://www.codecademy.com/learn/learn-r | Free with Upgrades | Pay to receive Certificate Student Pricing 35% off | |||
5 | R | Textbook [PDF] | Springer Textbooks | An Introduction to Statistical Learning with Applications in R | Intermediate | https://www.statlearning.com | Free | Textbook is on SRM syllabus | Student solutions: https://github.com/yahwes/ISLR | This is an amazing read for those of you at a beginner level. It explains most machine learning concepts in layman terms, and doesn’t require an in-depth knowledge of the mathematics behind the methods. One of the best things about this book is that it requires no prior knowledge of R. The end of each chapter contains a n R lab and exercises where all the methods learned are applied and explained thoroughly. | |
6 | R | Online Course | DataCamp | Introduction to R | Beginner | https://www.datacamp.com/courses/free-introduction-to-r | Free | * | |||
7 | R | Online Course | DataCamp | Data Scientist with R | Advanced | https://www.datacamp.com/tracks/data-scientist-with-r | $399 | Yearly subscription for all DataCamp courses Watch for sales, up to 70% off! | |||
8 | R | Online Course | DataCamp | Machine Learning Scientist with R | Mastery | https://www.datacamp.com/tracks/machine-learning-scientist-with-r | $399 | Yearly subscription for all DataCamp courses Watch for sales, up to 70% off! | |||
9 | R | Online Course | edX | Basics of Statistical Inference and Modelling Using R | Intermediate | https://www.edx.org/course/basics-of-statistical-inference-and-modelling-using-r | Free with Upgrade | Pay to receive Certificate | Provides schedule for learning and assignments | * | |
10 | R | Online Course | edX | Advanced Statistical Inference and Modelling Using R | Intermediate | https://www.edx.org/course/advanced-statistical-inference-and-modelling-using-r | Free with Upgrade | Pay to receive Certificate | Provides schedule for learning and assignments | * | |
11 | Excel | Online Forum | Excel Help Forum | All | https://www.excelforum.com | Free | |||||
12 | Excel | Website | Excel Easy | Beginner | https://www.excel-easy.com | Free | |||||
13 | SQL | Website | W3Schools | SQL Tutorial | Beginner | https://www.w3schools.com/sql/ | Free | ||||
14 | SQL | Online Course | DataCamp | Introduction to SQL | Beginner | https://www.datacamp.com/courses/introduction-to-sql | Free | * | |||
15 | Python | Online Course | DataCamp | Introduction to Python | Beginner | https://www.datacamp.com/courses/intro-to-python-for-data-science | Free | * | |||
16 | Python | Online Course | DataCamp | Data Scientist with Python | Advanced | https://www.datacamp.com/tracks/data-scientist-with-python | $399 | Yearly subscription for all DataCamp courses Watch for sales, up to 70% off! | |||
17 | Python | Online Course | edX | Python Basics for Data Science | Beginner | https://www.edx.org/course/python-basics-for-data-science?index=product&queryID=8d9b181ad5d840b4ee58f38db9686066&position=1 | Free with Upgrade | Pay to receive Certificate | Provides schedule for learning and assignments | * | |
18 | Python | Book [PDF] | O'Reilly | Hands-On Machine Learning with Scikit-Learn & TensorFLow | Beginner | https://upload.houchangtech.com/pdf/Hands-on_Machine_Learning.pdf | Free | * | This book was basically my bible when I was doing an internship for a data analytics team. Similar to ISLR, it is aimed at beginners but with all the application in Python instead. Some people say that it’s an alternative to ISLR for those who do Python instead of R, but I would recommend learning both. This book goes more in depth with the process of building data and model pipelines, and how to train and evaluate algorithms. | ||
19 | Python | Book | O'Reilly | Head First Python | Beginner | https://www.amazon.ca/dp/1449382673?linkCode=gs2&tag=oreilly200b-20 | $46.47 | Free trial available on publisher's website | Useful book for learning python, and should be paired with the above Hands-On Machine Learning book | ||
20 | Math/Stats | Book [PDF] | Stanford University | Computer Age Statistical Inference | Advanced | https://web.stanford.edu/~hastie/CASI_files/PDF/casi.pdf | Free | Provides lots of background knowledge on mathematics/statistical algorithms | This book is co-written by Bradley Efron, the genius behind the Bootstrap method. Similar to ESLII, this book dives more into the mathematical and statistical background of the algorithms. I think this book is really useful for those of you who have read ISLR and ESII, and are looking for more insight as to why these methods work, and to what degree. | ||
21 | Math/Stats | Book [PDF] | Springer Textbooks | The Elements of Statistical Learning, Data Mining, Inference, and Prediction | Advanced | https://hastie.su.domains/Papers/ESLII.pdf | Free | Provides in-depth mathematical analysis of statistical learning | ISLR (above) is based on this book. This is a great book to pair with the above reading, for those of you who like to go more in-depth both mathematically and statistically. It is a bit difficult for individuals who are less mathematically inclined, but no academic book is worth reading unless it is difficult for you (and if its not, are youreally learning anything?). | ||
22 | R | Online Course | Coursera | Machine Learning | Beginner | https://www.coursera.org/learn/machine-learning#syllabus | Free with Upgrade | Pay to receive Certificate | * | This is a very famous and world renowned course on Machine Learning, taught by the famous Andrew Ng. It is completely free (you can pay $100 to get a certificate of completion from Stanford), and consists of a variety of videos, short quizzes and online assignments that will teach you the basics of R and machine learning. |