Variance is a measure of how much the data points in a dataset differ from the average (mean). It means that it is low variance if all your data points are very close to the mean, or if your data points are very far from the mean, it’s high. What is Variance? Variance quantifies the … Read more
Standard deviation is an important concept in statistics and data science. It’s used to measure the amount of variation or dispersion within a dataset. Standard deviation tells us how much the data values move away from the average. Standard deviation is a numerical value that indicates the stability or instability of your data. Formula for … Read more
What is a Percentile? A percentile is a number that tells us what percentage of data values fall below a given point in the dataset. Key Percentiles We Should Know 1) 25th Percentile (1st Quartile): 2) 50th Percentile (Median): 3) 75th Percentile (3rd Quartile): Also known as Q3, the upper quartile below which 75% of … Read more
Statistics is like a toolbox that helps us to understand data. Imagine you have a big box of fruits, but you don’t want to check every fruit one by one. Instead, you pick a few, analyze them, and then make an idea about the whole box. Exactly what do statistics do with data? Statistics is … Read more
Why Do We Plot Functions in Data Science? In data science, numbers alone don’t reveal the full story. A table of data might tell us what values exist, but plotting shows us how they behave together. When we plot two variables, we can instantly see how one affects the other. Before applying a mathematical model, … Read more
Linear functions are a fundamental concept in data science, especially in regression analysis, machine learning, and statistical modelling. A linear function refers to a straight-line relationship between two variables, x and y. For example: It’s an equation of a linear function: y=mx+b Linear Function Example: Taxi Fare Prediction See this graph for a linear function … Read more
We learned some definitions about data preparation in previous topics, but now we will learn in depth how Data Preparation actually works in data science. When you first collect data, it usually doesn’t come in a perfect format. For example: If we try to analyze or build a machine learning model directly on this hardest … Read more
What is a Function? In data science, a Function is a reusable block of code that performs a specific task repeatedly, such as data cleaning, transformation, or statistical calculations, without requiring extra code. Think of a function as a small machine you build yourself. Then, you give the machine some input, such as raw data. … Read more
What is a DataFrame? A DataFrame is like a table structure with rows and columns because when we work with data in Python, we need a structure to store and organize it. That is the reason we have used a DataFrame. You know that Excel has 1st, 2nd, 3rd rows and columns like Name, Age, … Read more
Python is one of the most popular programming languages in data science for its simplicity, versatility and robust ecosystem of libraries. We can easily use Python for data analysis, machine learning and statistical operations. Learning Python is the first step for data scientists because it enables them to efficiently handle, manipulate and analyze data, and … Read more