Web Scraping is an essential part of data science, as it is used for gathering data, market research, and maintaining data pipelines. It will also help you understand complex SQL queries. These cheat sheets will also help you get better at creating and managing databases. Majority of technical interviews and assessment tests include some type of SQL questions so, it is better to prepare for the interview using the collection of SQL cheat sheets. The first blog consist of six subcategories: The two part series is further divided into subcategories SQL, Web Scraping, Statistics, Data Analytics, Business Intelligence, Big Data, Data Structures & Algorithms, Machine Learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks, and VIP cheat sheets.
The blogs are divided into two parts that include easy-to-follow and summarized sheet cheats to revise all the concepts of data sciences. Searching for cheat sheets that work for you can take hours as most of them are not easy to comprehend. I use cheat sheets to prepare for technical interviews, as tech recruiters want to assess the subject matter expertise. It contains shortcuts, tricks, and functions for running a Python notebook. Jupyter Notebook is the essential cheat sheet that everyone should learn.
It can also help you ace technical interviews and assessment tests. Editor's note: For the full scope of cheat sheets included in this 2 part series, please see The Complete Collection of Data Science Cheat Sheets - Part 2.Ĭheat sheets can help us revise the concepts of statistics, programming language syntax, data analytics tools, and machine learning frameworks.
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