Data Maturity
What is data maturity? Data maturity is a measurement that demonstrates the level at which a company makes […]
data
Data Science Hierarchy of Needs
In 2017, Monica Rogati published the hierarchy of needs diagram in an article that showed where AI and […]
Data Engineering Life Cycle
The data engineering life cycle (lifecycle) helps us to look at the bigger picture. It’s tempting to dive […]
Data Pipelines Introduction
Data pipelines are sets of processes that move and transform data from different sources to a specific destination, […]
History of Data Engineering
In the early 2010s, we had huge increases in data volumes, velocity, and variety leading to the term […]
Data Science Careers
Some data science careers or job titles are: data scientist, data analyst, business intelligence analyst (BI), project manager, […]
Data Engineering Introduction
Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data. It’s about […]
Data Analytics Portfolio Projects
Are you looking to start a career in data analytics? Are you looking for some portfolio project ideas? […]
Data Type Conversion in pandas
Convert Strings to Floats This post discusses one of the EDA Structuring tasks using Python and pandas. Here […]
PostgreSQL Introduction
PostgreSQL is a very popular open-source database platform. The homepage says: “PostgreSQL is a powerful, open source object-relational […]
Describe method in Pandas
The describe() method can be used on a pandas DataFrame. describe() returns descriptive statistics of only columns of […]
Missing Data in Pandas
Exploratory Data Analysis (EDA) has six main practices. The six main practices of EDA are discovering, structuring, cleaning, […]