Data Analysis
This entry-level Data Analysis training prepares learners to uncover patterns, trends and insights from data – helping decision-making and understanding the world better.
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What you'll learn
- Exploring relationships between seemingly unrelated data
- Understanding the importance of clarifying results with visuals
- Manipulating and transforming data to find insights
- Recognizing and navigating ethical and regulatory restrictions
Who is this for?
This Data Analysis training is considered foundational-level Data Analysis training, which means it was designed for data analysts. This data analysis tools and techniques skills course is valuable for new IT professionals with at least a year of experience with data analysis tools and experienced data analysts looking to validate their Data Analysis skills. New or aspiring data analysts: For people just getting started with data analysis, there's no better place to start than this course. Learn the lay of the land, get a handle on the basics, practice the skills, and prepare for an actual career – all with this online course in data analysis. Master the basics and get ready to move on to advanced analysis techniques with this course. Experienced data analysts: If you've been working in data analysis for a while, a lot of what's on this course will be familiar. But if you've never had a chance to systematically learn each step and concept of your field, this course can help you take a step back, see the big picture, and start planning for how you're going to develop your career.
What our learners say
Awesome, Top notch, I am super excited and thankful for CBT Nuggets. I am starting to get addicted to CBT Nuggets. I hope that there's no cure!!!
Having access to on-demand labs that I could spin up instantly was very helpful. I didn’t have to have a home environment with a bunch of virtual machines spun up. Or worry about destroying things.
You constantly have to invest in training for your people.
Download the free study guide to complete this course in about 5 hours.
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