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TDWI Upside - Where Data Means Business

Career Development

Profile: So You Want to Be a (Data Science) Rock Star

Data scientist Nathan Hamilton explains that a strong grasp of statistics and a creative, problem-solving imagination have made him a successful data scientist.

You Found a Data Scientist -- Now What? The Case for Building a Center of Excellence

Hiring a data scientist doesn't mean your work is done. Building a center of excellence and ensuring good relations with IT are both valuable steps toward a successful analytics program.

Debunking the Data Scientist Mythology

Data science is a team effort that depends on vital contributions from data engineers, data architects, business analysts, and business subject matter experts.

Career Advice for Analysts: Find the Passion

Do you know what skills make different analytics practitioners more valuable to an employer? Here's advice on reaching the next level so you can compete for the most coveted jobs.

Is Your Analytics COE Losing Juice? -- Q&A with Jill Dyché

Do you need to modernize your center of excellence? Consider these tactics to guide your enterprise analytics to the next level.

Data Digest: Hire Analytics Teams, Test Your Security, Future-Proof Your System

Read about hiring the analytics skills you need most, using real-world scenarios to test your cybersecurity, and ensuring that your data technologies will scale in the future.

Q&A with Jill Dyché: "Our COE Is About to Kick the Bucket!"

Can you prevent business users from circumventing the work of your analytics center of excellence?

Data Digest: Big Data in the Cloud and Two Views of the Future of Data Science

Learn 5 reasons why big data projects belong in the cloud, how many people are applying to be data scientists, and why enterprises are hiring data science teams.

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