Jacob Diamond-Reivich

Citizen data scientists are becoming more essential than ever to organizations that rely on data. If you’re a citizen data scientist or an organization that is looking to upskill your team members, there are some great tools out there for taking their data science skills to the next level.

ChatGPT has various capabilities, and its natural-language processing makes it incredibly easy to use. This has led some users to utilize ChatGPT to help analyze data in their spreadsheets, whether that be through Excel, Google Sheets or even Python. While ChatGPT certainly has some use cases for spreadsheets, it also

Enterprise businesses need to stay on top of the latest technologies to stay competitive and optimize operations. The growth of AI code assistants for Python and Pandas has massive potential for enterprise organizations. By embracing these AI solutions, businesses can improve their data stack and take advantage of various other

AI continues to evolve and become more ubiquitous in nearly every industry. One of the most prominent and widely used AI applications is Open AI’s ChatGPT, which can generate answers and even code based on natural language prompts. If you code in Python, you may be wondering if ChatGPT

AI is already being used in countless data science applications and workflows, and it looks like the capabilities of these tools are only going to continue to revolutionize the data science field. Many data scientists are harnessing Python and Pandas to parse, manipulate and analyze data, but AI can help

Data-driven businesses are continually looking for ways to update and improve their data stack to give them better insights and a competitive edge. In the data science field, these technologies and tools are evolving at a rapid pace. AI tools and machine learning have exploded in popularity in recent years,

The financial services industry is continually evolving, with many finance, banking and fintech organizations making good use of big data to improve their business. However, harnessing the power of big data can sometimes be a daunting endeavor. That’s where AI comes in. With advanced Python AI coding tools, the

Excel is the world's most popular data analysis tool. One of its most popular functions is VLOOKUP – it lets Excel users easily match records across two tables to combine their values into one table. While Excel and its functions can be useful, many people are switching to Python

Do you regularly use spreadsheets in Excel or Google Sheets? If you’re looking for something more powerful, using Python can give you more tools and flexibility for handling data. However, the transition from Excel to Python might be intimidating for some. In this blog, we’ll give you the

Python is one of the most widely used and versatile programming languages — but where do you start? Fortunately, there are plenty of great resources out there for learning Python, and getting started with some simple projects can help build your skills. In this guide, we’ll give you some fun