Introduction to Statistics for Data Analysts

Brand New Course: Introduction to Statistics for Data Analysts 

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The field of analytics is constantly changing and evolving, with new technologies and techniques emerging all the time. This is why it is important to continuously develop your skills, so you can stay ahead of the curve and continue to deliver value to your organization.

Here at Enterprise DNA, our goal is to equip data analysts like you with the knowledge and skills you need to stay current and continue to grow in your role.

In line with this, we’re very proud to launch our first course for the new year, which we call Introduction to Statistics for Data Analysts. This is the first part of a series on recognizing, understanding, and managing uncertainty in data.

Real-world data is often ambiguous, and it can be challenging to determine whether a trend represents an important phenomenon, or whether it is just random noise.

This course will help you build a practical understanding of the most important statistical tools used to differentiate one from the other, and whether the data itself is quantitative or categorical. This course will focus on selecting the appropriate tools and correctly interpreting the results.

What To Expect From This Course

The course will use R as the primary tool for data analysis, and by the end of it, learners will:

  • Develop strong intuition in recognizing variability and bias in real-world sample data 
  • Understand the fundamental logic of statistical inference  
  • Possess a toolkit of essential techniques for analyzing categorical and quantitative variables  
  • Recognize statistical abuse and be able to avoid it in practice 
  • Learn the various specialized inference techniques they might encounter in their future work with data 

Who Is This Course For

The Introduction to Statistics for Data Analysts course is ideal for anyone attempting to draw constructive, generalizable conclusions from data.

The inability to recognize and manage uncertainty is a common cause of erroneous conclusions in data analysis, and being able to avoid such errors in one’s own practice and recognize them in others is an essential skill for anyone working with data.

About Your Instructor

We have partnered with Dr Andrew Gard, creator of the popular YouTube channel Equitable Equations, to deliver our course on managing uncertainty from data. He is the author of the R package fqar, which facilitates the analysis of large floristic quality data sets.

His area of specialization is data analysis using R, where he integrates both domain expertise and technical data science to provide deep answers to real-world data questions while respecting and quantifying the uncertainty inherent in data.

He is currently a professor of Mathematics and Computer Science at Lake Forest College in Chicago and holds a PhD in Mathematics from Ohio State University.

Dr Gard’s expertise and experience make him the perfect leader for this course, providing learners with a valuable and practical learning experience.

How To Enroll

To enrol in this course, just sign up for a subscription at Enterprise DNA On-Demand. Take advantage of our ongoing sale to get access to this course upon release!

You can maximize your subscription by choosing a Learning Path that will generate a personalized action plan and recommend courses tailored to your experience level and career goals.

You can also check out our upcoming courses for more details, and keep your eyes out for the second part of our series on dealing with uncertainty on data later this year.

All the best,

Enterprise DNA Team

Enterprise DNA Power BI On-Demand

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