What Is Data Modeling? | IBM
Data modeling is the process of creating a visual representation of an information system to communicate connections between data points and structures.
ITDA - Western Technical College
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code - JWarmenhoven/ISLR-python
4 Types of Data Analytics to Improve Decision-Making
Learning the 4 types of data analytics can enable you to draw conclusions, predictions, and actionable insights to drive impactful decision-making.
RFM Analysis With Excel
Recency, Frequency, Monetary
Conceptual, Logical & Physical Data Models (Enhanced Audio)
Learn about the 3 stages of a Data Model Design- Conceptual Data Model- Logical Data Model- Physical Data Model**This is a re-upload of my previous video abo...
How to build your own custom ChatGPT with OpenAI's GPT builder
OpenAI's GPT builder lets you create your own version of ChatGPT using plain English. Here's how to use the GPT editor to create a custom version of ChatGPT.
Enterprise DNA
Seems like a pricey scam.
Analyst Builder
Analyst Builder is your all in-one platform to become a Data Analyst! Learn technical skills and practice for your technical interviews all in one place.
Edpuzzle | Make Any Video Your Lesson
Easily create beautiful interactive video lessons for your students you can integrate right into your LMS. Track students' progress with hassle-free analytics as you flip your classroom!
List of Cognitive Biases and Heuristics - The Decision Lab
Below is a list of the most important cognitive biases and heuristics in the field of behavioural science.
Power Query How - Home of the M Language
Unlock the Power Query M Language: Explore syntax, data types and language specifics, to help you master data transformation.
Fetch data from Kaggle with Python
Short and useful info on how to connect to Kaggle with code.
Reshaping Data Frames using Pandas Melt and Pivot
This simple concept always seems confusing
How to implement a Boolean search with multiple columns in pandas
This is maddening
Difference between apply() and transform() in Pandas
Some of the most useful Pandas tricks
Understanding *args and **kwargs in Python
Looks intimidating, isn't.
Top 20 Pandas Functions which are commonly used for Exploratory Data Analysis.
When it comes to data science or data analysis, Python is pretty much always the language of choice. Its library Pandas is the one you…
When to use Pandas transform() function
Some of the most useful Pandas tricks
A primer on Python Regular Expression
Regex is a group of characters which helps to find pattern within a string.
Data Visualization in Python: Matplotlib vs Seaborn - KDnuggets
Seaborn and Matplotlib are two of Python's most powerful visualization libraries. Seaborn uses fewer syntax and has stunning default themes and Matplotlib is more easily customizable through accessing the classes.
Asterisks in Python: what they are and how to use them
There are a lot of places you’ll see * and ** used in Python.
No more confusion between apply(), map() and applymap()
Do you find yourself often confused between Python’s apply() , map() and applymap() functions? Well, let us spend few minutes to…
Managing “all” functions in DAX: ALL, ALLSELECTED, ALLNOBLANKROW, ALLEXCEPT - SQLBI
Goofy - sticking to it.
How to Summarize Data with Pandas
Are you starting to learn how to analyze data using Python Pandas? If yes, this post is for you.
Three Very Useful Functions of Pandas to Summarize the Data
Pandas library is a very popular python library for data analysis. Pandas library has so many functions. This article will discuss three very useful and widely used functions for data summarizing.
Data Preprocessing with Python Pandas
Data binning (or bucketing) groups data in bins (or buckets), in the sense that it replaces values contained into a small interval with a…
Fact vs Dimension Tables
Understanding the difference between Fact and Dimension tables in the context of the Star Schema and Data Warehousing
Harvard Dataverse
100 People: A World Portrait - Videos
Videos about the 100 People Project, participating schools and global issues that teachers can use to supplement global education curricula.
Wolfram Data Repository: Computable Access to Curated Data
Huge collection of computable, curated data from demographics to language, science & math, politics, social media. Many formats: numerical, time series, image, audio, geospatial.