History of Data Engineering
In the early 2010s, we had huge increases in data volumes, velocity, and variety leading to the term […]
data
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, […]
Manually Create a pandas DataFrame
A DataFrame is a rectangular table of data with an ordered, named collection of columns. Each columns has […]
How to Become a Data Analyst
How does one become a data analyst? How do you get into the field when you are coming […]
The PACE Framework
The PACE framework is a framework by Google for data analysis and machine learning projects. PACE is an […]
Exploratory Data Analysis Overview
Exploratory Data Analysis (EDA) is a very important process for the data analytics professional because you cannot do […]