Statistical Concepts for Data Science
Fundamental statistical concepts play a crucial role in data science because they provide the necessary mathematical framework and tools
Musonda Katongo
7 min read
NAICS Time Series Data Analysis
In this post, we demonstrate data preparation techniques and analysis using the Employment data classified by industry
Musonda Katongo
4 min read
Data Visualization using Matplotlib in Python
Matplotlib is a handy python library that is used for developing various types of visualizations.
Musonda Katongo
4 min read
Pandas Techniques for Data Manipulation in Python
Pandas is a popular python library that is suitable for performing the various data preparation. In this post we explore a number of Pandas
Musonda Katongo
3 min read
Time Series Forecasting: Bitcoin Price
Introduction Bitcoin (BTC) was the first cryptocurrency ever created. It is a peer-to-peer technology which allows operations between its...
Gilbert Temgoua
6 min read
Introduction to R for Stata Users
I have spent 7 years coding Stata. This post shows the initial step for moving to R.
Diego Martin
1 min read
Data Analyst vs Data Engineer vs Data Scientist: Skills, Responsibilities.
Data Analyst vs Data Engineer vs Data Scientist” will help you understand the various similarities and differences between them.
mohamed bahgat
3 min read
The 10 Statistical Concepts for Data Science
Introduction Content: 1. Types of Analytics 2. Population and sample 3. Central Tendency 4. Measure of...
Amr Mohamed Salama
7 min read
Principal Component Analysis with Python
In a machine learning workflow, we generally have to deal with high-dimensional datasets. But most of the time, many features in those...
TEMFACK DERICK
4 min read
Machine Learning Concepts: Classification and Regression Trees with Scikit-Learn
“Data is a precious thing and will last longer than the systems themselves.” – Tim Berners-Lee For banks to figure out if they should...
asma kirli
6 min read
