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We're excited to announce an affordable Seattle-based training program for those interested in getting started in data science and business intelligence.
I am deeply curious about how to turn my experience on the internet from a vaguely anti-social one to one where I can actually connect with people.
In case you haven't heard, multitasking is dead.
Are executives disconnected? Or are technical people just bad at communicating?
When we’re working in analytics, understanding the building blocks of a story allows us to be aware of what we’re crafting in our presentation.
Storytelling is the critical overarching skill that analytics professionals need to develop in order to unlock the full impact of analytics in the day-to-day.
We respond to a new report by The Economist Intelligence Unit titled "Broken Links: Why Analytics Investments Have Yet to Pay Off."
How do we develop strong methods and metrics to measure effectiveness of abstract or nebulous goals?
To unlock the full value of analytics, your organization needs to develop coaching as a skill among all its leaders.
There is a darker side to data science.
Practically speaking, how should one begin to master soft skills?
The final mile in analytics is, was, and always will be communication.
It seems like entering the analytics profession requires an impossible set of credentials. Here's a list of practical rules on how to enter the profession.
The accelerating pace of technological advancement today creates a unique challenge for the modern professional.
When that time comes, there are two options.
Immense political and technical complexity is so often the reality for analytics work that it's easy to feel like you're being set up for failure.
One of the first lessons people learn in statistics is that “correlation does not imply causation.” It is also one of the most abused lessons in statistics.
There’s perhaps no greater opportunity to fall prey to confirmation bias than in the process of conducting job interviews.
There’s a myth about Big Data that says it has properties smaller data sets do not. But that’s not quite right.
It’s helpful to understand why there needs to be a fundamental shift in strategy toward Big Data and what makes the problem of Big Data different than small data.
Analytics involves both sides of an “analytics experience,” too: the creators and the consumers of data products.
The relationship between body language and business habits turns out to be a lot more important than most of us would have guessed.
The paths toward our desired business outcomes are paved with hundreds, thousands of decisions.
Even someone with a strong data background and familiarity with sampling and other types of statistical errors can still be prone to making rationality errors.
No one road leads to all destinations, and no one way of sharing knowledge is suited to solving all types of problems.
Employee engagement is at an all-time low.
Evidence versus intuition. Data versus experience.
It's not about the perfect outside hire. Or the newest tech stack.
© Analytics Guild, 2016