地球资源数据云——数据资源详情

加拿大的数据分析师职位

发布时间：2026-03-17 14:31:45资源ID：2031264303926382593资源类型：免费

该数据集《Data Analyst Job Roles in Canada》主要用于监督学习任务，数据形态以图像为主，应用场景偏向天文科学。 题目说明：1700+ real time data analyst job listings scraped from Indeed and Glassdoor. 任务类型：图像监督学习。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Cleaned_Dataset.csv, Raw_Dataset.csv。 Welcome to a comprehensive dataset of Data Analyst job roles across Canada! This dataset provides a unique glimpse into the job market, capturing essential details like salary ranges, required skills, programming languages, job titles, employers, and much more. <br> Datasets: <br> - Raw_Dataset.csv: This is the untouched, unprocessed data directly scraped from Indeed and Glassdoor. It’s the perfect starting point for those looking to demonstrate their data transformation skills by cleaning and refining messy, real - world data. - Cleaned_Dataset.csv: This is the refined and transformed version of the raw dataset, ready for insightful analysis and visualization. Ideal for those focusing on data storytelling and visualization. <br> Featured Columns in the Clean Dataset: Job Title: A generalized job title that encapsulates the role.

加拿大的数据分析师职位

摘要概览

该数据集《Data Analyst Job Roles in Canada》主要用于监督学习任务，数据形态以图像为主，应用场景偏向天文科学。 题目说明：1700+ real time data analyst job listings scraped from Indeed and Glassdoor.

任务类型：图像监督学习。

建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。

评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。

可用文件：Cleaned_Dataset.csv, Raw_Dataset.csv。

Welcome to a comprehensive dataset of Data Analyst job roles across Canada! This dataset provides a unique glimpse into the job market, capturing essential details like salary ranges, required skills, programming languages, job titles, employers, and much more.

<br> Datasets:

<br> - Raw_Dataset.csv: This is the untouched, unprocessed data directly scraped from Indeed and Glassdoor. It’s the perfect starting point for those looking to demonstrate their data transformation skills by cleaning and refining messy, real - world data.

- Cleaned_Dataset.csv: This is the refined and transformed version of the raw dataset, ready for insightful analysis and visualization. Ideal for those focusing on data storytelling and visualization. <br> Featured Columns in the Clean Dataset:

Job Title: A generalized job title that encapsulates the role.