Tag: Learn Python
Data Science Portfolios That Will Get You the Job
Data science skills are crucial for today’s employers, but listing data science on a resume isn’t enough to prove your expertise. Build a data science portfolio that showcases your prowess in a clear and undeniable way. Learn how to highlight your knowledge in a way that will inform, impress, and help you get the job.
Read MoreHow I Built a Python Bot to Help Me Find an Apartment in San Francisco
Learn how to build and deploy an automated bot to identify the best rental properties using Craigslist, Slack, and Python.
Read MoreBuilding a Data Science Portfolio: Machine Learning Project
Learn how to build an end to end machine learning project — a key part of any data science portfolio — in this free tutorial walkthrough.
Read MoreBuilding a Data Science Blog for Your Portfolio
Data science blogs provide an ideal forum to show off your work in job applications and to the public. Learn to build one with Pelican, Jupyter Notebook, and Github pages.
Read MoreBuilding a Data Science Portfolio: Storytelling with Data
This is the first in a series of posts on how to build a Data Science Portfolio. You can find links to the other posts in this series at the bottom of the post. Data science companies are increasingly looking at portfolios when making hiring decisions. One of the reasons for this is that a […]
Read MoreMatplotlib tutorial: Plotting tweets mentioning Trump, Clinton, and Sanders
Analyzing Tweets with Pandas and Matplotlib Python has a variety of visualization libraries, including seaborn, networkx, and vispy. Most Python visualization libraries are based wholly or partially on matplotlib, which often makes it the first resort for making simple plots, and the last resort for making plots too complex to create in other libraries. In […]
Read MoreHow to Get Into the Top 15 of a Kaggle Competition Using Python
Kaggle competitions are a fantastic way to learn data science and build your portfolio. I personally used Kaggle to learn many data science concepts. I started out with Kaggle a few months after learning programming, and later won several competitions. Doing well in a Kaggle competition requires more than just knowing machine learning algorithms. It […]
Read MoreTutorial: Working with Large Data Sets using Pandas and JSON in Python
In this Python programming and data science tutorial, learn to work with with large JSON files in Python using the Pandas library.
Read MorePython for data science: Getting started
Python is becoming an increasingly popular language for data science, and with good reason. It’s easy to learn, has powerful data science libraries, and integrates well with databases and tools like Hadoop and Spark. With Python, we can perform the full lifecycle of data science projects, including reading data in, analyzing data, visualizing data, and […]
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