滴滴地图事业部-大数据研发实习生
实习兼职技术类地点:北京状态:招聘
任职要求
1.教育背景:本科及以上学历,计算机、数学、统计学、交通工程或相关专业; 2.编程能力:熟悉Python,掌握基本的数据分析工具(如 Pandas、NumPy、Matplotlib 等); 3.数据基础:熟悉SQL,能够进行基础的数据查询和处理; 4.分析能力:具备一定的统计学基础,熟悉常用的数据分析方法; 5.学习能力:对交通安全、大数据分析方向有兴趣,愿意积极学习并快速上…
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工作职责
岗位职责 1.协助进行交通安全相关的大数据分析,支持安全运营和策略优化; 2.基于交通大数据,研究和挖掘安全风险特征,分析用户行为并提供数据支持; 3.协助搭建交通安全数据监控和分析工具,支持业务团队实现风险预警和干预; 4.编写数据分析报告,展示分析结果并提出优化建议; 5.协助团队完成数据的清洗、整理、可视化等相关工作; 6.跟踪和学习与交通安全、数据分析相关的前沿技术,探索新的方法和工具。
包括英文材料
学历+
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
数据分析+
[英文] Data Analyst Roadmap
https://roadmap.sh/data-analyst
Step by step guide to becoming an Data Analyst in 2025
Pandas+
[英文] 10 minutes to pandas
https://pandas.pydata.org/docs/user_guide/10min.html
This is a short introduction to pandas, geared mainly for new users.
[英文] Cookbook - pandas
https://pandas.pydata.org/docs/user_guide/cookbook.html#cookbook
This is a repository for short and sweet examples and links for useful pandas recipes.
https://www.kaggle.com/learn/pandas
Solve short hands-on challenges to perfect your data manipulation skills.
https://www.youtube.com/watch?v=2uvysYbKdjM
I'm super excited for this one. We're doing another complete Python Pandas tutorial walkthrough.
https://www.youtube.com/watch?v=Mdq1WWSdUtw
Filtering, Joins, Indexing, Data Cleaning, Visualizations
NumPy+
https://numpy.org/doc/stable/user/absolute_beginners.html
NumPy (Numerical Python) is an open source Python library that’s widely used in science and engineering.
[英文] NumPy - Learn
https://numpy.org/learn/
Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community.
https://www.kaggle.com/code/themlphdstudent/learn-numpy-numpy-50-exercises-and-solution
This kernel uses exercises of NumPy from the Machine Learning Plus webpage
https://www.youtube.com/watch?v=KHoEbRH46Zk
If you've heard of Pandas and NumPy, you may think one is simply a superset of the other.
https://www.youtube.com/watch?v=QUT1VHiLmmI
Learn the basics of the NumPy library in this tutorial for beginners.
https://www.youtube.com/watch?v=VXU4LSAQDSc
This video serves as an introduction to the NumPy Python library.
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