Data Sourcing&Acquisition

Data sourcing and acquisition is a critical process in data science that involves identifying, collecting, and preparing data from various sources for analysis and modeling. This process can include gathering data from online repositories, APIs, databases, and other platforms. The quality and relevance of the sourced data significantly impact the outcomes of data analysis and machine learning projects. Effective data sourcing ensures that the data is clean, consistent, and suitable for the intended purpose, which is essential for generating valuable insights and making informed decisions. Proper data acquisition strategies can streamline workflows and enhance the overall efficiency of data-driven projects.

Learn the Process of Data Sourcing and Preparation to Model Deployment

Analytics Vidhya

learn Data collection and preparation to model deployment

Data Science for Sustainable Sourcing

Towards Data Science

How can you use Data Science to select the best suppliers considering indicators for sustainability and social indicators? (Image by Author) Sustainable sourcing is the process of integrating social,...

Data Understanding for Machine Learning: Assessment & Exploration

Towards Data Science

Quality data is fundamental to any data science engagement. To gain actionable insights, the appropriate data must be sourced and cleansed. There are two key stages of Data Understanding: a Data…

Data Who?

Towards Data Science

An oldie but goodie.. What’s the difference between a Data Analyst and a Data Scientist? a BI Analyst and a Business Analyst? a Data Architect and a Data Engineer? Data profession and positions have…

Sourcing and Collecting Data for Training Large Language Models

Towards AI

When people talk about training language models, the conversation often jumps straight to architecture choices or training techniques. But here’s the reality: you can have the most elegant transformer...

Data Sources

Simply Statistics

Here are places you can get data sets to analyze (for class projects, fun and profit!) Data Market Infochimps Data.gov Factual.com I’m sure there are a ton more…would love to hear from people.

A complete guide to data-driven customer acquisition

Towards Data Science

A Complete Guide to Data-Driven Customer Acquisition Over the past ten years, I have been fortunate to work with over 100 entrepreneurs. Regardless of their geographic location, product, financial si...

What is Data Extraction and Data Wrangling

Python in Plain English

Data sources can be from the portal, apps, Excel, Google Sheets, API, CSV, Server. What data do we need to do preprocessing? The real-world data is dirty (incomplete, noisy, inconsistent), and…

Applying Kaizen & 5S Principles to External Data Acquisition

Towards Data Science

The key to solving any analytical problem is to have the right data. Data is an asset. One that forward-thinking organizations seek out just as actively as they would revenue streams or new…

Contract Awards Data Analyze

Analytics Vidhya

The World Bank Group’s Corporate Procurement Unit is responsible for the coordination and oversight of the sourcing strategy, selection, and contract execution for goods, services, construction, and…

Twitter Data Mining and NLP

Analytics Vidhya

Data costs money right? Large corporate companies buy data from dedicated agencies. It can be in the form of surveys or customer feedback questionnaire. But what if you want the very same data ‘for…

Where do you get your data?

Simply Statistics

Here’s a question I get fairly frequently from various types of people: Where do you get your data? This is sometimes followed up quickly with “Can we use some of your data?” My contention is that if ...