Data Analysis

Luke Hande

Python Exploratory Data Analysis Cheat Sheet

Get a quick overview of exploratory data analysis, a process used to summarize your dataset and get some quick insights. We’ll give you the tools and techniques you need in this cheat sheet. Exploratory data analysis (EDA) is a term used to describe the process of starting to analyze your data in the early stages. Its primary purpose is to understand the properties of the data, with the aim of using these insights to refine the analysis to derive the best insights possible from the data you have.

Xavier Rigoulet

Python’s Role in Big Data and Analytics

Python is crucial for Big Data and data analysis. Want to know why? In this article, we’ll explain how learning Python can help you to get ahead and boost your career. Python is a popular programming language that is widely embraced by beginners and experienced developers alike. It was created over 30 years ago, but it’s stillworth learning in 2023 for several reasons – not least of which is that Python is essential to Big Data and data analytics.

András Novoszáth

The Top 5 Python Libraries for Data Visualization

Which Python library should you pick for data visualization? Read on to see our assessment! Data visualization is an increasingly valuable skill, one that’s sought after in many organizations. It helps you to find insight into data and to communicate your findings to less technical audiences. You can benefit from it in your career and use it to pivot toward a data-focused role. There are many paths to learning and practicing data visualization.

Kateryna Koidan

Python or R: Which Should You Learn as a Beginner Data Analyst?

Thinking about becoming a data analyst? It’s a very promising career path, but data analysts are often required to master at least one programming language. Let’s explore whether this should be Python or R. If you scroll through a couple of data analyst job descriptions, you’ll notice that most of them have a requirement for at least one programming language – Python, R, or SQL. SQL is somewhat unique as the key language for communicating with relational databases.

Usman Malik

Excel Alternative: What to Learn as a Data Analyst

Excel spreadsheets are quickly becoming obsolete thanks to the emergence of the latest data analytics tools and languages such as Python, Java, R, and Microsoft HDInsight. However, a large number of companies still use digital spreadsheets, creating a lot of problems for modern business data analysts. Analyzing data through excel is a poor choice because of reasons like errors in data validation, a poor shared workbook feature, no multi-user editing, inaccurate data, and safety concerns, making it necessary for you to switch to better and advanced alternatives.