I love doing year-in-review posts because they offer a comprehensive perspective on my annual achievements. It's all too easy to become engrossed in the minutiae of daily tasks, losing sight of …
10 ways to destroy your technical book
A few weeks ago, I wrote a post outlining ten pitfalls to avoid in data solopreneurship: Writing a technical book demands immense effort, just like starting a business. Pouring your heart and …
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How to build an Excel data model that matters: Review of Data Modeling in Excel
Data modeling, contrary to be nearing obsolescence, remains crucial for data analysts aiming to enhance their reporting speed and deepen their insights into business operations. Bernard Obeng …
The rise of AI means more analytics training, not less
In an age where generative AI is rapidly transforming industries, there's a growing belief that traditional foundational training, especially in fields like data analytics, might become obsolete. …
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Ten ways to destroy your data analytics solopreneurship
I have been running my own data analytics business for over five years. Throughout this journey, I've encountered numerous highs and lows. The risk of failure still looms, but that's just a part of …
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How to get the most of Python in Excel with the Anaconda Toolbox
The recent incorporation of Python into Excel marks a substantial leap in data analytics, combining Python's powerful features with the accessible Excel workbook interface. Employing Python …
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