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Testing in dbt - part 2

Discover advanced testing techniques in dbt, including unit tests, to ensure data quality and validate complex transformations in your analytics projects.

Testing in dbt - part 1

This article explores the creation of a data analytics project using dbt, with a strong focus on testing models and ensuring data quality.

How Do I Make an AI with Python in Eight Steps?

In this blog post, we will provide a step-by-step guide on creating an AI using Python, one of the most popular programming languages for AI.

Exploring the Horizon: The Top 13 AI Trends Shaping 2024

AI was one of the most important emerging technology trends in 2023, but the technology is still developing, and 2024 will see even more AI developments.

AI in Recruitment: Transforming the Future of Recruiting and Talent Acquisition

Is artificial intelligence capable of replacing recruiters? How AI is able to help in the recruitment process These and other questions are answered in our latest article.

Introduction to Data Modeling - Concepts and Best Practices

Imagine a world where your business has a crystal-clear understanding of its data, effortlessly unlocking valuable insights that drive growth and outpace the competition.

Embracing Agile for Successful AI and ML Projects

Discover how Agile methodologies can optimize your AI and ML projects with this comprehensive guide, exploring implementation steps, key benefits, and how to manage and scale Agile teams effectively for success.

Analyzing Data Sourcing Methods: Pros and Cons

This article serves as a guide to selecting appropriate data-sourcing methods for various projects, emphasizing the critical role of ethics and the impact of these choices on data quality and their applications in strategic decisions, customer experiences, and innovation.

5 Essential Tips for Effective Data Sourcing: A Comprehensive Guide

Data sourcing involves finding, selecting, and acquiring data essential for analysis, machine learning, or data-driven decisions, significantly impacting the quality of insights derived in projects.

Data Visualization in Python, Part 2: Matplotlib Fundamentals

Phyton is one of the best tools available on the market with which you are able to visualize data

Data Visualization: Communicating Insights and Making Data Accessible to All

Clear presentation of data is key to good communication and development. Want to learn more about how to do it right click here

Designing Effective Data Pipelines: Best Practices and Strategies

A successful data pipeline is the key to success. Do you want to learn more about data pipelines? Tips on building scalable data science pipelines in our blog post.

Data & AI