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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: 12 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: about 1 year 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: about 1 year ago
Take a loot at the Open Images dataset or Kaggle. Source: about 1 year 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
Have you consider dataquest.io ? I m thinking on subscribing there, the learning path since well balanced between theorical and practical knowledge, plus there are some pet projects initiaves. Source: about 1 year ago
I did a lot of planning, reporting and optimizations based on data when I was in digital media, so I've been applying to data focused roles. In my free time, I've also been learning Data Science via dataquest.io, hoping to take my analysis to the next level, learn new skill sets, and keep coding. Source: over 1 year ago
I recommend dataquest.io. It's an intuitive way to learn the fundamentals if you'd rather not study in a more formal manner. Source: over 1 year ago
Does it need to be a postgrad degree? If you want more hands on you might be better using Dataquest. Source: about 2 years ago
I am using Dataquest to learn Python for Data Science there. I also got a book from O'Riley called Data Science Handbook and the Automating the Boring Stuff with Python book. SQL is good to know and comes in handy. Source: about 2 years ago
Colaboratory - Free Jupyter notebook environment in the cloud.
Gyana - Intuitive easy-to-use report and dashboard tool to stop wasting time on repetitive and tedious tasks.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Deepnote - A collaboration platform for data scientists
Geektastic - Geektastic is a platform that manages peer reviewed code challenges supported by a community of qualified software engineers.
Amie - GitHub for research and data science