Ziprecruiter enables companies to post to multiple free job boards with a single submission and vet all applicants through simple-to-setup online interviews.
Good for recruiting, hiring, job posting, candidate screening, and applicant tracking.
Based on our record, Kaggle seems to be a lot more popular than ZipRecruiter. While we know about 99 links to Kaggle, we've tracked only 2 mentions of ZipRecruiter. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Job application (websites such as Indeed, HiredCalifornia, Monster, ZipRecruiter etc) - screenshot of job application showing date as well as contact details for hiring manager. Source: almost 3 years ago
Apply for jobs on Indeed, HiredCalifornia, Monster, ZipRecruiter. Source: almost 3 years ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: 11 months ago
Next, you can do basic analysis of datasets in Python using libraries like pandas and scikit-learn. There's a lot of example datasets on kaggle.com. Source: 11 months ago
Also look into kaggle.com and participate in competitions, etc. This will be something you can show on your CV as real-world-experience while boosting your skills. Source: 11 months ago
Take a loot at the Open Images dataset or Kaggle. Source: 12 months ago
If you took a good database course and a good data science/data analytics/informatics course in college, you likely have the knowledge you need for the PBQs. Looking at the "Given a scenario..." objectives for the Data+, I think I would practice up basic SQL, then fire up PowerBI/RStudio/Jupyter Notebook/whatever your favorite visualization tool is and take some real-world data from kaggle.com and make some... Source: about 1 year ago
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