data-analysis

Before I thought Excel was just something accountants use to make tables look neat. I was wrong — quite embarrassingly wrong, actually. This changed how I see spreadsheets entirely. Excel isn't a glorified notepad. It's a proper analytical tool that businesses use daily to make real decisions. Let me share what I've learned and how it connects to the real world. What even is Excel? Microsoft Exce…

BackgroundTranexamic acid (TXA) is a widely used antifibrinolytic agent for the management of hemorrhagic disorders and has increasingly been investigated for the treatment of intracerebral hemorrhage (ICH). However, TXA-associated adverse drug events (ADEs), particularly neurological complications, remain insufficiently characterized, despite their association with unfavorable neurological outco…

Data analysis is at the heart of how we spot patterns and improve systems today. Tools like Python, SQL, Power BI, and Tableau are everywhere in the data world, but Excel has held its ground as the starting point for anyone getting into data work, and there is a reason for that. What is Excel? Excel is a spreadsheet built on a grid of rows and columns. You use it to organize, format, and calculat…

Most spreadsheet cleanup work is not really an Excel problem. It is an extraction and review problem. A team receives a PDF price list, an invoice packet, a screenshot from a dashboard, an email order, or a pasted block of OCR text. Someone then has to decide what the columns should be, copy values into rows, fix inconsistent labels, and export a table that other people can trust. The useful work…

I have began my journey as a beginner in the data analysis field by learning excel. I have previously used excel to store data but never really considered put my mind on how excel is used in the broader perspective of data analysis and the process it takes to collect, organize, validate and process data to extract information. This journey began with a simple question. What is Excel? Excel is an …

Exploratory data analysis on the US Census Dataset The post Exploring Income Patterns with Python Pandas, Matplotlib, and Seaborn appeared first on Towards Data Science .

What 3.9M powerlifting records tell us about competition strategy — an EDA with Python When I started this EDA project for my Data Science Master at Evolve , I picked the Open Powerlifting dataset because beyond being a gym-rat, I've always been curious about the competition strategy in powerlifting. The dataset Open Powerlifting is an open-source project that tracks powerlifting competition resu…

A beginner's tutorial on exploratory data analysis using Pandas, Matplolib, and Seaborn The post Exploring Patterns of Survival from the Titanic Dataset appeared first on Towards Data Science .

A new startup company from Iceland offers an advanced AI tool for metal 3D printing. The post New AI Platform From Euler Analyzes Sensor Data to Improve Metal Print Quality appeared on Fabbaloo .

Soil total nitrogen (STN) is a crucial indicator of crop productivity and soil health. Accurate monitoring of STN is essential for optimizing nitrogen management and achieving sustainable agricultural development. An adequate and timely STN supply serves as a key physiological basis for promoting effective tillering, flower stalk development, and continuous multibatch bud formation in Hemerocalli…

I spent three months applying to jobs last year. Mass applied to everything. Tweaked my resume maybe twice. Hit "Easy Apply" like it was a dopamine button. 200+ applications. 6 callbacks. 2 interviews. 0 offers. So I did what any frustrated developer would do. Turned the whole thing into a data problem. Started tracking every application. Source, date, response time, resume version, whether I tai…

What you'll learn: - Python programming fundamentals and syntax. - Working with data structures such as lists, dictionaries, and tuples. - Data manipulation and cleaning using libraries like pandas. - Exploratory data analysis and visualization with libraries like matplotlib and seaborn. - Feature selection and engineering. - Deep learning and neural networks. - Natural language processing and te…

What you'll learn: - SAS programming basics - Data manipulation - Data analysis and reporting - Data visualization - SAS macros - Data management - SQL for SAS - Advanced analytics Course offers: - We offer one-on-one or group tutoring sessions in a variety of subjects. - Experienced tutors who provide personalized instruction and guidance. - Interactive virtual classrooms with video and audio co…

Learn how to analyze product performance, extract time-series features, and uncover key seasonal trends in your sales data. The post EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas appeared first on Towards Data Science .

Santillana, director of Northeastern’s Machine Intelligence Group for the Betterment of Health and the Environment, tested models that foretell upsurges of the disease in 180 locations around the world. About...

Let’s observe the matter on the atomic level The post Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3) appeared first on Towards Data Science .

Social media analytics is the process of gathering and examining data from social platforms like Instagram, Facebook, LinkedIn, and TikTok to understand how content performs and how audiences behave. It helps brands track engagement, reach, clicks, and other key metrics to improve strategy and boost results. By spotting trends and patterns, businesses can make smarter […]

Let’s observe the matter on the atomic level The post Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2) appeared first on Towards Data Science .

In the digital age, data is more than just numbers on a spreadsheet—it’s the backbone of decision-making in businesses, healthcare, education, marketing, and almost every industry you can think of. But raw data is meaningless unless you know how to make sense of it. That’s why so many people are searching for the best ways […]