├── An Introduction to Statistical Learning with Applications in R.pdf ├── Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf ├── Data Science from Scratch- First Principles with Python.pdf ├── DeepLearning.pdf ├── Hands-on-machine-learning-with-scikit-learn-and-tensorflow.pdf ├── Introduction to Computation and Programming using Python (rev. ed.).pdf ├── Mining of Massive Datasets .pdf ├── Python for Data Analysis, 2nd Edition.pdf ├── README.md ├── The Elements of Statistical Learning.pdf ├── Think Stats, 2nd Edition.pdf ├── automatetheboringstuffwithpython.pdf └── understanding-machine-learning-theory-algorithms.pdf /An Introduction to Statistical Learning with Applications in R.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/An Introduction to Statistical Learning with Applications in R.pdf -------------------------------------------------------------------------------- /Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf -------------------------------------------------------------------------------- /Data Science from Scratch- First Principles with Python.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/Data Science from Scratch- First Principles with Python.pdf -------------------------------------------------------------------------------- /DeepLearning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/DeepLearning.pdf -------------------------------------------------------------------------------- /Hands-on-machine-learning-with-scikit-learn-and-tensorflow.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/Hands-on-machine-learning-with-scikit-learn-and-tensorflow.pdf -------------------------------------------------------------------------------- /Introduction to Computation and Programming using Python (rev. ed.).pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/Introduction to Computation and Programming using Python (rev. ed.).pdf -------------------------------------------------------------------------------- /Mining of Massive Datasets .pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/Mining of Massive Datasets .pdf -------------------------------------------------------------------------------- /Python for Data Analysis, 2nd Edition.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/Python for Data Analysis, 2nd Edition.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## Data Science Curriculum 2 | 3 | ### Introduction to Data Science
4 | * Data Science A-Z: Real-Life Data Science Exercise – Udemy
5 | * An Introduction to Statistical Learning – eBook
6 | * The Elements of Statistical Learning – eBook
7 | 8 | ### Statistics
9 | * Statistical Thinking for Data Science and Analytics – edX
10 | * Fundamentals of Statistics – MITx 18.650x
11 | * Intro to Descriptive Statistics – Udacity
12 | * Intro to Inferential Statistics – Udacity
13 | 14 | ### Probability
15 | * Probability – The Science of Uncertainty and Data – MITx: 6.431x
16 | 17 | ### Calculus
18 | * Multivariable Calculus – Khan academy
19 | * Mathematics for Machine Learning: Multivariate Calculus – Coursera
20 | 21 | ### Linear Algebra
22 | * Linear Algebra – Khan academy
23 | * Essence of Linear Algebra – 3Blue1Brown
24 | * Mathematics for Machine Learning: Linear Algebra – Coursera
25 | * Linear Algebra – MIT 18.06
26 | 27 | ### Python
28 | * Complete Python Bootcamp: Go from Zero to Hero in Python – Udemy
29 | * Introduction to Computer Science and Programming Using Python – MITx: 6.00.1x
30 | * Introduction to Computation Thinking and Data Science – MITx: 6.00.2x
31 | 32 | ### Tableau
33 | * Tableau 10 A-Z – Udemy
34 | 35 | ### Machine Learning
36 | * Machine Learning A-Z: Hands-On Python & R in Data Science – Udemy
37 | * Machine Learning with Python: From Linear Models to Deep Learning – MITx 6.86x
38 | * Machine Learning by Stanford University – Coursera
39 | * Introduction to Machine Learning for Coders – fast.ai
40 | * Hands-On Machine Learning with Scikit-Learn & TensorFlow – eBook
41 | 42 | ### Deep Learning
43 | * Deeplearning.ai – Coursera
44 | * Practical Deep Learning for Coders – fast.ai
45 | * Deep Learning by Ian Goodfellow et al. – eBook
46 | 47 | ### Artificial Intelligence
48 | * Introduction to Computer Vision by Georgia Institute of Technology – Udacity
49 | * Convolutional Neural Networks for Visual Recognition – Stanford CS231n
50 | * Natural Language Processing with Deep Learning – Stanford CS224n
51 | 52 | ### SQL
53 | * SQL for Data Analyst - Udacity
54 | 55 | ### Big Data
56 | * Intro to Hadoop and MapReduce - Udacity
57 | * The Ultimate Hands-On Hadoop - Tame your Big Data - Udemy
58 | 59 | ### GitHub
60 | * Code School: Git Real - PluralSight
61 | 62 | 63 | -------------------------------------------------------------------------------- /The Elements of Statistical Learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/The Elements of Statistical Learning.pdf -------------------------------------------------------------------------------- /Think Stats, 2nd Edition.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/Think Stats, 2nd Edition.pdf -------------------------------------------------------------------------------- /automatetheboringstuffwithpython.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/automatetheboringstuffwithpython.pdf -------------------------------------------------------------------------------- /understanding-machine-learning-theory-algorithms.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Benlau93/Data-Science-Curriculum/8fd5262f571c21867ed50bc3b2e0c1504970136e/understanding-machine-learning-theory-algorithms.pdf --------------------------------------------------------------------------------