Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

JKSHIM and NMIT open their final MBA application window for 2026-27. Closing July 2, 2026, these NEP-aligned ...

Building a successful career in Canada starts with a resume that reflects Canadian hiring expectations. By focusing on ...

The days of manually copying and pasting data into Excel. That is the worst kind of bad debt, throwing away your precious resources (time and brain processing power) down the drain. If you think of ...

Analysts skilled in tools such as Power BI combined with Copilot, or SQL and Python paired with AI assistance, are commanding premiums as high as 35 to 45 per cent over peers who know only the base ...

The power of Python trumps Excel workbooks.

The following table shows the best data analytics certifications, along with their respective cost and length. The table ...

DuckDB is an amazing tool with deep integration with Python and R, but sometimes you just need data in Excel. xlDuckDb allows DuckDB SQL to be run within Excel. Query results are returned as regular ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

tcapy is a Python library for doing transaction cost analysis (TCA), essentially finding the cost of your trading activity. Across the industry many financial firms and corporates trading within ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

In our earlier article, we demonstrated how to build an AI chatbot with the ChatGPT API and assign a role to personalize it. But what if you want to train the AI on your own data? For example, you may ...