Becoming a Data Scientist – Curriculum via Metromap
Posted on July 8, 2013by Swami Chandrasekaran
SUBJECT | STATUS | CODE | NAME | FINI | REC |
Data Science | ✅ | DS 010 |
Head First Statistics 深入浅出统计学[书] |
Dec 2017 | ⭐⭐⭐ |
✅ | DS 011 |
Data Science from Scratch 数据科学入门[书] |
Dec 2017 | ⭐⭐⭐ | |
✅ | DS 012 |
A Programmer's Guide to Data Mining 写给程序员的数据挖掘实践指南[书] |
Mar 2019 | ⭐⭐ | |
🎪 | DS 013 | Programming Collective Intelligence | |||
✅ | DS 110 |
Head First Data Analysis 深入浅出数据分析[书] |
Feb 2019 | ⭐⭐ | |
🎪 | DS 111 | Doing Data Science | |||
Data Structure & Algorithms |
✅ | DSA 010 |
Problem Solving with Algorithms and Data Structures using Python [书] |
Feb 2019 | ⭐⭐⭐⭐ |
🔲 | DSA 110 | Data Structures and Algorithms in Python[书] | |||
Programing in Python |
✅ | PP 010 |
Head First Python 深入浅出Python[书] |
Nov 2016 | ⭐⭐⭐ |
✅ | PP 011 |
Python Crash Course Python编程[书] |
Apr 2019 | ⭐⭐⭐⭐ | |
⚪ | PP 210 | Effective Python | |||
⚪ | PP 211 | Learning Python | |||
sub4 | ⚪ | book4 | time4 |
SUBJECT | STATUS | CODE | NAME | FINI | REC |
Data Science | 🎪 | DS 220 | CS 109 | ||
Data Structure & Algorithms |
🔲 | DSA 020 | CS 61A | ⭐⭐⭐⭐ | |
🔲 | DSA 021 | CS 61B | |||
⚪ | DSA 120 | Algorithms Stanford | |||
🔲 | DSA 121 | Algorithms Princeton | |||
Mathematics | 🎪 | MA 020 | Essence of Linear Algebra | ||
🎪 | MA 021 |
Probability and Statistics 概率论与数理统计[书] |
|||
🎪 | MA 120 |
Advanced Linear Algebra 高等代数[书] |
|||
🎪 | MA 121 |
Mathematical Analysis 数学分析教程[书] |
|||
Machine Learning | 🎪 | ML 020 | Machine Learning | ||
Programing in Python |
⚪ | PP 121 | Fundamentals of Computing |
✅ DONE
🎪 ABANDONED
🔲 ING
⚪ TBC