learning path

Data Analytics Best Practice

This course provides actionable advice for conducting data projects, and for using the insights generated to inform data-driven decision making.

Difficulty: Intermediate

Duration: Up to 52 minutes

Students: 333

Start

Enhance your skill setDevelop essential skills for thriving in real-world scenarios.

Stay focused, stay committedBoost your learning journey by enrolling: stay focused, consistent and achieve your goals with ease.

Earn a certificate of completionShow your skills and build your credibility when you include them in your resume and LinkedIn profile.

6 steps

There are 2 Exams in this learning path

There are 4 Courses in this learning path

EXAM

Duration: Up to 10 minutes

Data Analytics Best Practice Pre-Assessment

You must complete the pretest before you start this content.

COURSE

Intermediate

Duration: 2 minutes and 9 seconds

Data Analytics Best Practice Introduction

Welcome to this course on Data Analytics Best Practice.

COURSE

Intermediate

Duration: 14 minutes and 36 seconds

Formulating a Business Question

No matter what data analytics project you’re working on, it will most likely begin with a ‘business question’. Your data analysis is only as good as the question you ask, so, we’ll dive into some best practice advice that will help guide you when formulating your business question. We’ll end with a practical example of a business question and how you might go about answering it.

COURSE

Intermediate

Duration: 7 minutes and 46 seconds

How to Interpret Data Analytics Insights

Data analytics helps you gain valuable insights that will impact decision-making at your business. We look at the kinds of insights you might draw, as well as how to understand and interpret them more effectively. We then look at the kinds of questions you can ask yourself that will help you better engage with any insights you’re presented with.

COURSE

Intermediate

Duration: 7 minutes and 43 seconds

The Importance of Critical Thinking

While the field of data analytics is becoming more and more advanced, it’s not a perfect science. That’s why we explore the importance of developing a level of critical thinking when dealing with data analytics, along with some of the common pitfalls you may come across and some best practice advice to help you avoid them.

EXAM

Duration: Up to 10 minutes

Data Analytics Best Practice Post-Assessment