Python is a versatile language that can be used for many different applications, including managing and analyzing data. One of the advantages of Python is its ability to execute SQL queries using libraries such as sqlite3, pandas, pyodbc, and sqlalchemy. By using these libraries, we can easily connect to a database and execute queries, allowing […]
Executing SQL Queries in Python Read More »
Power BI Desktop is a powerful data visualization and analysis tool that allows you to create interactive reports and dashboards. Dashboards are a great way to get an overview of your data at a glance, and Power BI makes it easy to create dynamic and interactive dashboards that can be customized to suit your needs.
Creating a Dashboard with Power BI Desktop Read More »
Data Warehouse (DW) A data warehouse (DW) is a structured database that stores historical data from different sources in a predefined schema. It’s designed for data analysis and reporting, and it provides a single source of truth for the organization’s data. Tools used for data warehousing are: 1. Microsoft SQL Server 2. Oracle Database 3.
Data Warehouse (DW) Vs. Data Lake (DL) Read More »
SQL (Structured Query Language) is a programming language that is used to manage and manipulate data in relational databases. It is a widely used language in data science, and is essential for anyone who wants to work with large amounts of data. In this article, we’ll discuss the importance of SQL knowledge for data science
SQL Knowledge for Data Science Job Read More »
Data-centric AI is a growing concept that emphasizes the importance of high-quality data in the development and deployment of machine learning models. Large and diverse datasets are essential in training machine learning models that can handle real-world scenarios and produce reliable predictions, while high-quality data is critical in minimizing bias and ensuring ethical considerations are
Data-centric Artificial Intelligence Read More »
The confusion matrix is a model evaluation tool used in machine learning to assess the performance of classification models. It compares the predicted labels to the actual labels of a set of test data, and shows the number of true positives, false positives, true negatives, and false negatives for each class. It can also be
Confusion Matrix: Tool for Evaluating Machine Learning Models Read More »
Data science is a rapidly growing field that requires access to a wide range of high-quality datasets. There are many free data sources available that can be used for data science projects and research. Some popular sources for macroeconomic and financial data include the World Bank Open Data, IMF Data Mapper, and US Federal Reserve.
Top 10 Free Data Sources for Data Science Projects and Research Read More »
