Data is the master of the world now. Every event and activity happening across the globe starts with data, be it predicting the sales, revenue, and cost, analyzing drug effectiveness, tracking visitors in a store, forecasting the duration of the pandemic, predicting the best career for you or the best
In the current age world, data is everywhere. Every sector is leveraging chunks of data to structure the development plans. As seen in our last blog, statistics is an indispensable way ahead for any scientific research, innovation, manufacturing, production, sales, revenue, forecasting, prediction, etc. In our healthcare sector example, we
Installing or updating Python on your MacOS is the first step to becoming a Python developer. You can get started with setup and installation: download official Python distributions from Python.org, install from a package manager(Anaconda), and even install specialized distributions for scientific computing, the Internet of Things, and
Nowadays, we live in an environment where collaboration is critical in projects where we share files and folders (.csv, .json, .xlsx files, etc.) with our co-workers for work or review. Hence we are reliant to cloud storage more and more every time. Every Data Scientist or Data Analyst enthusiast must
Data is found in every field; whether you are a data analyst, marketer, data scientist, product manager, businessman, researcher, or any other profession, you need to experiment with raw or structured data to generate optimum results. According to the reports, we are generating at least 2.5 quintillion bytes of
Database Normalization, aka Normalization, in simple words, is the efficient Architecture of a database. Efficient Architecture is the Keyword here. It is a process of organizing your database in the most efficient form. Normalization starts with understanding the data. Once you have understood your data, you implement a certain set
Today, DATA is everywhere! From the simplest spreadsheets containing the monthly budget calculations to the enormous amounts of large-sized videos — everything is DATA! Data has an origin, is categorized into numerous types, can be added, modified, deleted, reside in manifold places, and most importantly, has meaning. It accentuates the purpose
Data has always been the hero! I say not just the heroine, but everything revolves around data. Agree? Data has been generated from time immemorial. Storing it is also not something ancient. Data is stored in books, receipts, papers, ledgers, databases, data warehouses, and many other storage devices and forms.
Now that you know how to visualize raw data with the help of frequency distribution tables, it is time to solve another problem! For easy understanding, we will take the same COVID-19 data set we considered while learning frequency distributions. Let’s first understand this brand-new concept of central tendency.