What is Pandas in Python -2023?

Pandas is one of the most popular and essential libraries in the Python ecosystem, especially when it comes to data analysis and manipulation. With its expressive syntax, versatile functionality, and ability to handle vast amounts of data, Pandas has become the go-to tool for data scientists, analysts, and developers alike. It is an absolute MUST […]

Building an AI Chatbot with Essential Python Libraries

In the competitive field of data science and analysis, showcasing relevant projects is a key factor in landing the perfect job. Building a project that blends several facets of the field – AI, Natural Language Processing (NLP), Web Scraping, and Data Visualization – demonstrates a comprehensive understanding of the skills that potential employers look for. […]

Stop Using Excel as a Database: Here’s Why

Excel is an amazing spreadsheet and analysis tool. Without a doubt, Excel can handle some data, but when it comes to big, complex datasets, it’s like trying to fit Shaquille O’Neal into a clown car – you’re just asking for trouble! And let’s not forget about data integrity – one slip of the finger and […]

Python Optimization Tutorial | Marketing Budget Allocation

The overall goal is we were trying to maximize sales through understanding of our the total channel contribution mix based on our budget constraints. Let take a look at the process. Why is This an Important Technique? Its completely data driven as opposed to simple guessing techniques. This approach can lead to improved targeting, increased […]

Using COALESCE in SQL: A Beginner’s Guide

What is the COALESCE Function in SQL? Coalesce is essentially a NULL killer. If you have a dataset in SQL that has a lot of NULL values, we can use COALESCE function to replace the NULL values. However, COALESCE is a versatile SQL function that can be used in a wide range of scenarios where […]

How to Analyze Data | Step-by-Step Guide

The hardest part of data analysis is sometimes knowing how or what to analyze. This a make or break skill for any data analyst. However, it can be challenging to know where to start and how to ensure you’re making the right conclusions. In this blog post, we will guide you through the six steps […]

SQL Queries for Data Analyst

As a data analyst or data scientist, knowing the right SQL queries can help you get the data you need from your database tables quickly and easily. Whether you’re a new user or a pro, you need to know how to use the basic SQL queries to analyze and change data. In this blog post, […]

List Comprehension in Python

What is list Comprehension? This is a method in Python that It allows you to create a new list by transforming and filtering elements from an existing list. The beauty of this is its done in a single line of code. We can use a list and the word iterable interchanged due to a list […]

Bypass Excel Row Limit and Analyze 1M+ Rows

How Many Rows of Data Can Excel Handle? Excel spreadsheet can handle 1,048,576 rows and 16,384 columns at a time. If you are dealing with large datasets, it’s inherent that you will have limitations using Excel Power Query.  If you haven’t heard of Power Query is a tool that is built into Microsoft Excel and […]