来自转行数据小白的灵魂质问：我啥都不会，究竟应该从哪里开始呢？
今日份知识你摄入了么？
近年来，随着互联网、人工智能等科技的快速发展，职业市场也发生了翻天覆地的变化。在LinkedIn最新发布的美国新兴就业排名中显示，数据科学及数据分析相关的职位占据了30%。可见其旺盛的市场需求，广阔的发展空间，更不用说还有高额的薪酬待遇。
“梦想很丰满”现实很骨感
作为“21世纪最性感的工作”，数据科学家的工作吸引着各行各业的人才。但现今各个行业中数据的大量（Volume）和多样性（Variety）使数据科学家的工作对从业者的专业知识和数据分析技能有着极高的要求。即便是一些传统职业，例如商业分析师，也对求职者的数据分析和使用查询语言（Query language）的能力有着硬性要求。很多没有数据分析、统计或者编程背景的同学只能望而生畏。而且很多同学在面对网络上纷繁复杂的各类课程时，不知从何入手，还会担心自己基础薄弱而跟不上之后的课程。
零基础没关系，不用担心学不会！
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课程·大纲
Python
1.Foundations of Numpy and Pandas
0 Anaconda Installation | 8 Series |
1 Create Arrays | 9 DataFrame+Titanic Example |
2 Basic Operation of Arrays | 10 Indexing Objects |
3 Indexing and Slicing | 11 Reindex |
4 Simple Array Operations | 12 Drop Data |
5 Universal Functions | 13 Slice Data |
6 Array Processing | 14 Data Alignment |
7 Save and Load Arrays | 15 Rank and Sort |
2.Data Manipulation
1 Missing Value | 9 Rename index with map and rename |
2 Merge | 10 Binning |
3 Concatenate | 11 Outlier |
4 Combining DataFrames | 12 Permutation |
5 Stack and Unstack | 13 GroupBy on DataFrame |
6 Duplicates in DataFrames | 13 Slice Data |
7 Mapping | 14 GroupBy on Dict and Series |
8 Replace | 15 Aggregation |
3.Data Visualization
0 Matplotlib Introduction | 6.1 Customizing Visualization - Twin Axes |
1 Simple Line Plot | 6.2 Customizing Visualization - Add Legend |
2 Subplot | 6.3 Customizing Visualization - Colorbar |
3 Scatter Plot | 6.4 Customizing Visualization - Customize Ticks |
4 Histogram | 7 Box Plot & Violin Plot |
5 Pie plot | 8 Heatmap |
4.Machine Learning
0 Introduction to ML | 3.1 Multi-class Classification |
1.1 Linear Regression | 3.2 Multi-class Classification Demo |
1.2 Linear Reg. Demo | 4.1 Decision Tree |
2.1 Logistic Regression | 4.2 Random Forest Tree |
2.2 Logistic Reg. Demo | 4.3 Decision Tree & Random Forest Tree Demo |
Tableau
No.1 | Ready to Get Started | 3 节 |
No.2 | Building up Your First Worksheet | 5 节 |
No.3 | Aggregation, Granularity, Filters | 4 节 |
No.4 | Building up Your First Dashboard with Interactive Actions | 5 节 |
No.5 | Joining and Blending Data in Tableau | 5 节 |
No.6 | Recap Dashboard, Parameters, Building Storylines | 6 节 |
SQL
SQL 课程安排 | |
SQL for Analyst 1 | |
SQL for Analyst 2 | |
SQL for Analyst 3 |
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课程周期：16周
课程形式：
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课程时间：
Lecture：
Saturday & Sunday 17:00 - 19:00 PT
Project：
Tuesday 18:00 - 19:00
Office Hour：
Wednesday 18:00 – 19:00 PT
Friday 18:00 – 19:00
Week | Main Topic |
Week 1 | Introduction to Best Practice in Data Application Python Analytics Foundation |
Week 2 | Project 1: Housing Market Python Machine Learning Eco-Systems Statistical Foundations |
Week 3 | Project 2: Data Cleaning Practice on Zillow Data Supervised Learning: Classification Basic CS Algorithm (Python) 1 |
Week 4 | Project 3 Machine Learning Algorithm 2 CS Algorithm (Python) 2 |
Week 5 | Project 4 - Allstate Claims Severity Data Visualization with Tableau Introduction to Deep learning |
Week 6 | Project 5: Data Visualization with Duolingo User Datasets Fundamentals of A/B Testing Unsupervised Learning: Dimension Reduction |
Week 7 | Project 6: Airbnb New User Bookings CS Algorithm (LeetCode Questions Practice) Unsupervised Learning: Clustering and Outliers Detection |
Week 8 | Project 7: HR Predicting Attrition Rate Time Series Analysis CS Algorithm (LeetCode Questions Practice) |
Week 9 - 12 | Project 8: Store Item Demand Forecasting Project 9: Diabetes Readmission Analysis Project 10: Facebook Ads EDA Capstone Project 11: FinTech Financial Technology |
Week 11 - 13 | Project 12: Brazilian Ecommerce TV Capstone Project 13: Recommender System |
Week 14 - 16 | Project 14: Telecom Customer Churn Prediction Capstone Project 15: NLP Project 16: Amazon Alexa NLP |
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课程周期：10周
课程形式：
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直播课堂 实时互动
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课程时间：
Lecture & Lab：
Saturday & Sunday 17:00 – 19:00 PT
Technical Class：
Wednesday 18:00 – 20:00 PT
Office Hour：
Thursday 18:00 – 19:00 PT
Week | Main Topic |
Week 1 | Business Analytics Overview Relational Database SQL Query Basic SQL Query Advanced |
Week 2 | SQL Query Advanced Python Basic I Python Basic II Python Basic III |
Week 3 | Python Data Structures Python Code Structures Python Language Advanced Data Import, Clean |
Week 4 | Python Data Processing Foundations of Numpy and Pandas Python Data Manipulations |
Week 5 | Project I Probability and Statistics Review Liner Regression Logistic Regression |
Week 6 | Project II Machine Learning Algorithms Data Visualization with Tableau I Tableau Hands-on - Dashboards |
Week 7 | Project III & IV Excel Review Data Visualization with Tableau II |
Week 8 | Project V Overview of Business Process A/B Testing Marketing Analytics - Marketing Mix Model |
Week 9 | Project VI &VII Business Development- Lead Generation E-Commerce Analytics Healthcare Analytics |
Week 10 | Project VII & IX & X Gaming Analytics Business Analytics Interview & How to solve related questions Capstone Project Presentation |
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