Personal AI Data Science Tutor Online That Teaches the Method
Describe the dataset and the tutor asks what question it can actually answer, because most data science marks are lost between a technically correct model and a claim the data cannot support.
What is the AskSia AI data science tutor?
The AskSia AI data science tutor is a personal tutoring tool that teaches problem framing and honest interpretation rather than supplying code. It asks what question your data can answer, walks the cleaning, exploration or modelling step with you when you ask, and asks what a stakeholder could wrongly conclude from your result. It covers data cleaning, exploratory analysis, feature engineering, regression and classification, model evaluation, validation strategy, visualisation and communicating findings. It answers in eight languages. Students on the AskSia A+ plan are covered by the Grade Confidence Guarantee. AskSia is a study aid, not an answer key.
像真人导师一样进行的四个阶段
答案出现时，解题工具就完成任务；当你能独自解下一题，辅导才算完成。
给你方向，而不是直接给解答
它指出卡住的步骤，再把问题交回给你走出下一步。
逐行讲解，搭配图解
需要更多帮助时，它会逐行带你走过解法，而不只告诉你最终结果。
它会反过来问你一题
在继续之前，它会用一个简短问题确认下一步是否真正属于你。
稍后再回来复习
薄弱知识点会在更适合主动回忆、巩固解题方法的时机再次出现。
距离考试还有三周
导师会刻意放慢节奏，为下一题留下可重复使用的解题方法。
每学期最容易失分的三种习惯
Data science coursework is graded on judgement. These three lose marks even when the code is perfect.
Reporting accuracy on imbalanced data
A model that always predicts the majority class scores well on accuracy and is useless. The tutor asks what the class balance is before any metric is chosen.
Leaking information from the future
Scaling or imputing before splitting lets the test set influence training, which inflates every result. The tutor asks when each transformation happened relative to the split.
Claiming causation from a fitted model
A coefficient describes an association in this dataset, and the report usually needs to say so explicitly. The tutor asks what a reader could wrongly conclude.
不是题库，而是从你的错误中生成的测验
Your marks are not lost evenly, so your practice is not spread evenly. Try this one.
这位导师涵盖的内容
An applied data science course, weighted toward the judgement calls rather than the library calls.
Building the tooling underneath? Python and SQL carry most of the practical work. Going further into modelling?
Four things a data science tutor does that a chat box does not
它了解你的学习历程，不只是一道问题
下一次辅导会从你真正觉得困难的步骤开始，而不是泛泛地重讲整章内容。
它会画出图解，不只列出代数式
图解会带着标注与解题过程的每一步并列呈现，因为可视化推理本身也能得到分数。
它会找出你自己解题过程中的第一行错误
拍下做错的尝试，它会找到解法最早偏离的步骤，然后讲清这一步。
它按你的课程方式检验理解
长答题需要依照你自己试卷的格式练习，而不是套用选择题题库。
Why the code is the easy part
Fitting a model takes three lines and choosing what to fit, on what data, evaluated how, is the whole assessment. The tutor asks what question the data can answer before any modelling, which is the order your marker reads the report in.
Personal here means it remembers which judgement keeps failing. If your pipelines are clean but every conclusion overstates what the model supports, that is tracked and raised before the next report.
It works in English, German, Japanese, Korean, Spanish, Portuguese, Simplified Chinese and Traditional Chinese.
学生真正会问的问题
Will it write my analysis code?
No. It asks what question your data can answer and walks the reasoning with you. For syntax level help with the implementation, use the Python or SQL pages.
Can it review my notebook?
Yes. Upload it and the tutor works through the order of operations, particularly where transformations happened relative to the train and test split.
Can it help me choose an evaluation metric?
Yes, and it starts from the cost of each error type in your problem rather than from a list of metrics.
Does it cover visualisation?
Yes, framed around what question a chart answers rather than which chart type to use for which variable.
Does it cover bias and fairness?
Yes, at the level most applied courses assess it, including where a dataset encodes a past decision rather than a fact.
Is using an AI data science tutor allowed?
AskSia is built as a study aid, not an answer key. Check your own faculty's policy before using any tool on graded work.
全部 149 位 AskSia 导师
每个学科都采用同一种方式：针对你卡住的步骤给出提示，结合你自己的课程资料讲解，最后再向你抛回一个问题。
数学和统计学
15从代数到微积分，也提供面对截止日的作业辅导。
科学
11物理、化学与生命科学的导师页面和作业辅导。
计算和数据
22涵盖主要编程语言，以及课程实际使用的理论、数据和工具。
工程
8从静力学到流体力学，并提供应用课程作业页面。
商业和经济
9会计、金融与经济，搭配图表及财务报表。
人文与写作
13协助审阅草稿而非代写的人文与写作学科。
语言
16提供附规则的修正，以及目标语言的对话练习。
AP课程
20依据内容与评分标准共同设计。
考试和认证
11以实际评分格式练习证书与入学考试。
健康类课程
7结合每个选项的依据，协助课程与执照准备。
学习支持
9当你需要重整整份日程，或今晚就要面对截止时间。
比较学习工具
8比较各工具的强项，以及它们无法处理的范围。
