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The Top Ten Certifications For Data Analysts

Pickl AI

Tools and Techniques Commonly Used Data Analysts rely on various tools to streamline their work. Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. They use data visualisation tools like Tableau and Power BI to create compelling reports. Data Science Certification Course by Pickl.AI

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Building AI Skills in Your Engineering Team: A 2025 Guide to Upskilling with Impact

ODSC - Open Data Science

Led by thought leaders like Sheamus McGovern, Founder of ODSC and Head of AI at Cortical Ventures, alongside Ali Hesham, a skilled Data Engineer from Ralabs, this bootcamp isnt just another courseits a launchpad for technical teams ready to take AI adoption seriously. Watch the full webinar of this topic on-demand here on Ai+ Training!

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Here’s What You Can Expect From the ODSC West Bootcamp Program

ODSC - Open Data Science

Pre-Bootcamp On-Demand Training Before the conference, you’ll have access to on-demand, self-paced training on core skills like Python, SQL, and more from some of our acclaimed instructors. Day 1 will focus on introducing fundamental data science and AI skills.

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Moving from Traditional to Active Data Governance

Alation

Rather than locking the data away from those who need it, this approach instead welcomes more users to the data — but adds guardrails to guide use. Deprecation warnings, SQL AutoSuggest, and quality flags are examples of “guardrail features.” Provide as much information as possible to make the data easier to trust.

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All You Need to Know about Transitioning your Career to Data Science from Computer Science

Pickl AI

Here are some steps to help you make the transition: Assess your current skills: Evaluate your computer science background and identify the skills that can be applied to data science. These may include programming languages (such as Python , R, or SQL), data structures, algorithms, and problem-solving abilities.