Key challenges in the data preparation process
Data preparation is a process of manipulating and organizing raw data before analysis. It is typically an iterative process of manipulating raw, unstructured, and...
Data preparation steps – Why do they matter?
Raw data, which are accumulated from various sources in the form of logs, sensor output, government data, medical research data, climate data, geospatial data,...
Top 7 data preparation tools
Data preparation is expensive and time-consuming, especially without automated and mature data preparation tools. Traditionally, data scientists write specific preparation scripts to accomplish project-specific...
Data Science in biology: A beginner’s guide to building a career
If you've always dreamed of becoming a scientist, there's an exciting career path that combines biology and data science. Rapid technological advancements have blurred...
Best data visualization practices – Dos and don’ts
Data visualization is a powerful tool in data analytics, transforming complex information into easily comprehensible graphical representations. These visualizations, from charts and graphs to...
Cleaning data in Spreadsheets: Risks and tips
The data cleaning process can be done using different techniques and software. Using spreadsheets such as Excel is one of them.
Spreadsheet tools are quite...
Four benefits of Retail Analytics and Business Intelligence (BI)
Did you know that the business intelligence (BI) industry is now valued at about 30.9 billion? It means that the retail analytics and business...
Self-service data preparation: Key requirements
Data transformation plays a pivotal role in enabling professionals to extract valuable insights from vast amounts of data. However, the traditional manual workflows associated...
15 open source web crawling and scraping tools
Open source web crawling and scraping tools are software applications or frameworks that are developed and distributed under an open source license. These tools...
Industries with the highest demand for data science professionals
In our data-centric world, the demand for Data Science professionals is burgeoning across various industries, from healthcare to manufacturing. As data continues to reign...
How to deal with missing data?
Missing data is a common occurrence in almost all real datasets. When some information about variables is missing, we call it incomplete data. Analyses...
17 top HR analytics tools in 2024
HR Analytics tools represent specialized software solutions for gathering, analyzing, and interpreting organizational human resources data. These tools offer several advantages for HR professionals...
