內容目錄
本學習清單參考了Columbia、NYU、MIT、Harvard、UC Berkeley、UCLA、Brown、U Washington、U Chicago的商業分析和數據科學碩士的課程規劃，將數據分析碩士課程中，常見的必修、選修課程整理出來，並提供Coursera上類似的免費課程：
學習小撇步
- 反覆吸收知識：數據分析的知識非常龐大複雜，建議透過「一次少量」「重複多次」學習達到最好的效果。不同的課程會有重複的內容（例如SQL和Relational Database的課一定會有重複內容），不用因此跳過，透過這個機會把重要概念複習一遍。
- 一定要練習實作：把教學影片看完、跳過所有的功課和練習雖然快速，但是程式能力是需要透過實作練習才能養成喔！
- 製作專案成品：線上自學時，挑選有「期末專案」的課程，修完課之後還能將專案成品放到github、Medium或個人網站上，累積成作品集，有助於申請學校或找工作！
- Coursera的秘密：Coursera雖然有「旁聽」這個選項，但是你可以申請獎助學金並獲取修課證書喔～他們並不會實際審核你的申請資料，只要送出申請後等待14天即可開始免費學習！
重要基礎必修課程
以下這六堂課，是每個碩士課程一定會有的基礎必修課。建議新手從這六堂課開始學習～
✏️Python/ R
可以二擇一，現在python在業界較普遍，建議可以直接選python
- Data Science: Foundations using R Specialization: https://www.coursera.org/....../data-science-foundations-r
- Data Science Fundamentals with Python and SQL Specialization: https://www.coursera.org/....../data-science......
- Python for Everybody Specialization: https://www.coursera.org/specializations/python
- Applied Data Science with Python Specialization: https://www.coursera.org/specializations/data-science-python
✏️ SQL
- Learn SQL Basics for Data Science Specialization: https://www.coursera.org/....../learn-sql-basics-data......
- Data Management Introduction to Relational Databases: https://www.coursera.org/....../introduction-to......
✏️ Statistics
- Introduction to Statistics: https://www.coursera.org/learn/stanford-statistics
- Statistics with Python Specialization: https://www.coursera.org/specia....../statistics-with-python
- Statistics with R Specialization: https://www.coursera.org/specializations/statistics
✏️ Applied machine learning
- Applied Machine Learning in Python: https://www.coursera.org/learn/python-machine-learning
✏️ Capstone Project/ Practicum
- Business Analytics Capstone: https://www.coursera.org/learn/wharton-capstone-analytics
- Data Science Capstone: https://www.coursera.org/learn/data-science-project
- Advanced Business Analytics Capstone: https://www.coursera.org/....../data-analytics......
- Increasing Real Estate Management Profits: Harnessing Data Analytics: https://www.coursera.org/learn/analytics-capstone
- Applied Data Science Capstone: https://www.coursera.org/learn/applied-data-science-capstone
- SQL for Data Science Capstone Project: https://www.coursera.org/learn/sql-data-science-capstone
技術核心課程
下面列出來的技術核心課程是每個Data Science學程一定會有的課程（比較技術導向的MSBA也會有），是想要做data scientist, data engineer的同學一定要修的課！
- ✏️ Probability
Probability Theory: Foundation for Data Science: https://www.coursera.org/....../probability-theory...... - ✏️ Machine learning: https://www.coursera.org/specializations/machine-learning
- ✏️ Optimization: https://www.coursera.org/learn/discrete-optimization
- ✏️ Data Mining Specialization: https://www.coursera.org/specializations/data-mining
- ✏️ Big Data Modeling and Management Systems: https://www.coursera.org/learn/big-data-management
商業核心課程
以下的課程商業導向比較強，適合想要成為analyst的同學，或是data部門的管理職。
✏️ Data, Human, Society, Ethics
- Data science ethics: https://www.coursera.org/learn/data-science-ethics
- Artificial Intelligence Data Fairness and Bias: https://www.coursera.org/learn/ai-data-bias
✏️ Business Analytics
- Business Analytics Specialization: https://www.coursera.org/specializations/business-analytics
- Advanced Business Analytics Specialization: https://www.coursera.org/speci....../data-analytics-business
✏️ Communication/ Storytelling with data
- Data Analysis and Presentation Skills: https://www.coursera.org/specializations/pwc-analytics
- Storytelling with Data: https://www.coursera.org/projects/storytelling-with-data
- Data Visualization: https://www.coursera.org/learn/datavisualization
✏️ Strategy and Change Management
- Influencing: Storytelling, Change Management and Governance Specialization: https://www.coursera.org/....../influencing......
技術選修課程
如果上完技術核心課程覺得意猶未盡，歡迎參考下列選修課程，在既有的基礎上深入學習，下面也都是Data Science碩士常見的選修選項喔！
- Mathematics for Data Science: https://www.coursera.org/....../mathematics-for-data-science
- Advanced Statistics for Data Science: https://www.coursera.org/....../advanced-statistics......
- Advanced Machine Learning: https://www.coursera.org/learn/machine-learning
- Natural language Processing: https://www.coursera.org/....../natural-language-processing?
- Deep Learning: https://www.coursera.org/specializations/deep-learning
商業選修課程
數據分析存在於每一個產業和部門，不管你是對財務、行銷還是人力資源管理有興趣，都可以結合數據專業，成為那個領域的分析師喔！以下選出幾個商業分析碩士常見的商業導向選修課程：
- Marketing analytics: https://www.coursera.org/....../applying-data......
- People Analytics: https://www.coursera.org/learn/wharton-people-analytics
- Customer analytics: https://www.coursera.org/learn/wharton-customer-analytics
- Competitive analytics: https://www.coursera.org/learn/businessintelligence
- Operations analytics: https://www.coursera.org/learn/wharton-operations-analytics
- Risk Modeling: https://www.coursera.org/learn/wharton-risk-models
這樣大家過年不想聽長輩念，就可以聽線上課程了😆
最後補充兩部我覺得很紮實的相關影片：
✔️如何轉職Data Scientist？面試必考題、準備方法｜從會計跨財金也能當數據科學家(下)
https://youtu.be/bwTQjPxoLX8
✔️零經驗如何切入數據分析？Amazon資深分析師的MSBA留學經驗
https://youtu.be/b7e4MbqfwcM
