Exploratory Data Analysis Overview
Exploratory Data Analysis (EDA) is a very important process for the data analytics professional because you cannot do […]
data
Exploring Data Types in pandas
Exploratory Data Analysis (EDA) has six main practices. The six main practices of EDA are discovering, structuring, cleaning, […]
Pandas Data Structures
Pandas is a popular library in Python that contains data structures and data manipulation tools designed to make […]
Pandas DataFrames EDA
Do you have a small dataset (rows and columns) in an external file and you want to explore […]
Python Sets
A set is a data structure in Python that contains only unordered, non-interchangeable elements. A set is an […]
Python Data Structures
Data structures are collections of data values or objects that contain different data types. Data professionals use data […]
Structured Data
Data is either structured or unstructured. If we are to analyze data using statistics, we must process the […]
Pandas DataFrame Introduction
A Pandas DataFrame is a two-dimensional data structure, with “rows” and “columns”, like a two-dimensional array, or a […]
Pandas Library
Pandas is a Python library that’s used to work with data sets and analyze data. It has functions […]
Python Types
Every variable you make has a specific data type. Python is dynamically typed. What does that mean? The […]
Apache Airflow
Apache Airflow is an open-source workflow management platform for data engineering pipelines. Airflow allow you to programmatically author […]
Top Skills for Data Professionals
What are the top skills required for data professionals? You could Google that question, but I was impressed […]