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？
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deepbit。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”，数据科学的工作吸引着各行各业的人才deepbit。但现今各个行业中数据的大量（Volume）和多样性（Variety）使数据科学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deepbit，不用担心学不会！
针对基础薄弱或零基础的同学
数据科学家求职训练营
商业分析师求职训练营
都为大家准备deepbit了
Python、Tableau、SQL
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Option 4
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DataAppLab
课程·大纲
Python
1.Foundations of Numpy and Pandas
0 Anaconda Installation
8 Serie
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
课程
安排
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
是不是心动了deepbit！
快来报名deepbit我们的
求职训练营
数
据
科
学
家
如果你想要扎实数据科学的基础，提升数据科学的建模能力，想要学习高效算法，请老师讲解最厉害的面试题，这一次机会你不能放弃了，数据科学家训练营动力起航，我们给你最完备的教学计划deepbit。
课程周期：16周
课程形式：
每周安排对应技术课程deepbit，无限回看复习整理
每周答疑：
Online Webinar 集中回答同学技术相关疑问
每周求职：
Online Webinar 解答同学求职相关疑问
课程时间：
Video Lectures：
每周两节技术课程
Project：
Wednesday 17:00 - 18:00 PT
Technical Office Hour：
Sunday 15:00 – 17:00 PT
Career Advertising Office Hour：
Sunday 19:00 – 20:00 PT
Week
Main Topic
Week 1
Introduction to Best Practice in Data ApplicationPython Analytics Foundation
Week 2
Project 1: Housing MarketPython Machine Learning Eco-SystemsStatistical Foundations
Week 3
Project 2: Data Cleaning Practice on Zillow DataSupervised Learning: ClassificationBasic CS Algorithm (Python) 1
Week 4
Project 3Machine Learning Algorithm 2CS Algorithm (Python) 2 Supervised Learning: Regression
Week 5
Project 4 - Allstate Claims SeverityData Visualization with TableauIntroduction to Deep learning
Week 6
Project 5: Data Visualization with Duolingo User DatasetsFundamentals of A/B TestingUnsupervised Learning: Dimension Reduction
Week 7
Project 6: Airbnb New User BookingsCS Algorithm (LeetCode Questions Practice)Unsupervised Learning: Clustering and Outliers Detection
Week 8
Project 7: HR Predicting Attrition RateTime Series AnalysisCS Algorithm (LeetCode Questions Practice)
Week 9 - 12
Project 8: Store Item Demand ForecastingProject 9: Diabetes Readmission AnalysisProject 10: Facebook Ads EDACapstone Project 11: FinTech Financial Technology
Week 11 - 13
Project 12: Brazilian Ecommerce TVCapstone Project 13: Recommender System
Week 14 - 16
Project 14: Telecom Customer Churn Prediction Capstone Project 15: NLPProject 16: Amazon Alexa NLP
商
业
分
析
师
如果你想要从头开始扎实你的数据分析基础，或者从0开始学习数据分析，了解你不曾见过的商业指标，这一次机会你不能放弃了，商业分析师训练营动力起航，我们给你最完备的教学计划deepbit。
课程周期：10周
课程形式：
每周安排对应技术课程deepbit，无限回看复习整理
每周答疑：
Online Webinar 集中回答同学技术相关疑问
每周求职：
Online Webinar 解答同学求职相关疑问
课程时间：
Video Lectures：
每周两节技术课程
Project：
Wednesday 17:00 - 18:00 PT
Technical Office Hour：
Sunday 15:00 – 17:00 PT
Career Advertising Office Hour：
Sunday 19:00 – 20:00 PT
Week
Main Topic
Week 1
Business Analytics OverviewRelational DatabaseSQL Query BasicSQL Query Advanced
Week 2
SQL Query Advanced Python Basic IPython Basic II Python Basic III
Week 3
Python Data StructuresPython Code StructuresPython Language AdvancedData Import, Clean
Week 4
Python Data ProcessingFoundations of Numpy and PandasPython Data Manipulations
Week 5
Project IProbability and Statistics ReviewLiner RegressionLogistic Regression
Week 6
Project IIMachine Learning AlgorithmsData Visualization with Tableau ITableau Hands-on - Dashboards
Week 7
Project III & IVExcel ReviewData Visualization with Tableau II
Week 8
Project VOverview of Business ProcessA/B TestingMarketing Analytics - Marketing Mix Model
Week 9
Project VI &VIIBusiness Development- Lead Generation E-Commerce AnalyticsHealthcare Analytics
Week 10
Project VII & IX & XGaming AnalyticsBusiness Analytics Interview & How to solve related questions Capstone Project Presentation
为控制学员体验deepbit，报满即停
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