This is not your typical “data cleaning with Python” article. By the end of this article, you have a Jupyter notebook demonstrating data cleaning techniques for your portfolio. You build on previous techniques learned and explore tactics when to apply each data cleaning technique to prepare data for analysis.
Data sets are often riddled with missing or inaccurate data. Its just a fact of data science life. Some datasets even contain mixed data types that aren’t ideal for the type of analysis you’re probably looking to do. …
There’s no secret that learning to code opens doors to opportunities for your career. According to the U.S. Bureau of Labor Statistics, “Employment in computer and information technology occupations is projected to grow 11 percent from 2019 to 2029, much faster than the average for all occupations.” Saying, “coding skills are in high-demand for a variety of jobs” would be an understatement! From cybersecurity, to software development, or even data science, coding skills are a foundational skill to have no matter the path you choose.
Learning to write code is fun, but it can be a bit overwhelming. With your…
I’m a Data Science advocate, developer, and technical writer. I write mostly data science and dev stuff. Follow me on Twitter for more @ElizabethDGroot