Data Analytics



Published October 18, 2022

8 Courses

Product Metrics
Business Case
Marketing Analytics
A/B Testing

Overview and objectives

In this course we'll learn how to tackle data analytics problems that show up case studies, SQL questions, and different business scenarios. Additionally we'll cover different frameworks on visualizing data and communicating your findings to stakeholders in a clear and effective manner.


The audience for this course is anyone who is approaching a data analytics interview or wants to learn how to tackle data analytics interview questions.


Courses in this learning path are:

Introduction to Data Analytics

Let's learn how to approach data analytics interviews and understand the different types of analytics interview questions that will show up for data analyst and data science roles.

3 of 3 Completed

Data Analytics Fundamentals: Causal Inference

In this course we’ll go over the core concepts of causality, significance, and analyzing data. This is meant as a quick refresher and a high level overview of causal inference basics to eventually apply them in data analytics problems.

2 of 9 Completed

Diagnosing and Investigating Metrics

Investigating metrics is a type of product intuition problem that will come up frequently in interviews. Examples of this are typically phrased along the lines of - If X metric is up/down by Y percent, how would you investigate it?

3 of 12 Completed

Easy SQL Questions

Get started on tackling easy level SQL questions involving aggregations, joining multiple tables, and pulling data for beginning analytical reports.

6 of 10 Completed

Medium SQL Questions

Medium level SQL questions utilize more advanced concepts like sub-queries, window functions, and solving case study problems.

4 of 13 Completed

Measuring Success

Measuring the success of products is critical to data science and analytics interviews. Generally, this question is an encapsulation of every time a product manager or executive asks the question: “So, how is it doing?”.

2 of 11 Completed

A/B Testing & Experiment Design

Let's start with a general framework for A/B testing. In practice, an A/B testing and experimentation all follow a step by step process of setting metrics and designing experiments.

3 of 10 Completed

Business Health Metrics

Business health metrics tackle case studies and questions focused on setting and defining core metrics for different business priorities.

3 of 8 Completed

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