Welcome to the course on approaching data science with a growth mindset. How can you apply this way of thinking to your work? There are 3 main steps - devise clear hypotheses, explore and rank order hypotheses and testing.

In this section, you will learn how data analysts and data scientists approach their work using the growth mindset. We start by asking ourselves: Why does your role exist? How does it contribute to key company goals? What are the different ways in which you/your team can achieve said goals? Which is the most impactful way to achieve your team’s goals? How will you validate or invalidate your hypotheses? By answering the first 3 questions, you can define your current data maturity level: Stage 1: Beginner – no data or limited and sometimes untrusted data; Stage 2: Intermediate – small-scale data. You can perform analyses on spreadsheets, report findings, and perform optimizations on existing projects; Stage 3: Advanced – large-scale data, end-to-end infrastructure. You use data to innovate from your findings.

At Data Maturity Level 1, you have some data, but cannot extract much value from it. Nevertheless, some actions can yield remarkable results at this stage. You can create hypotheses on how to optimize your business. Stack rank projects based on factors such as opportunity size, cost, risk, etc. This is how you can determine which projects to focus on. You can also use data to define benchmarks for the metrics you want to monitor.

When you reach Data Maturity Level 2, you have an infrastructure that gives you substantial data with sufficient accuracy. In essence, you have started to explain why things are happening in your business. At this stage, you can conduct analyses that show non-obvious insights and correlations. What can you do at this stage to take advantage of your data? The good news is that there is a lot you can do.

Congratulations on reaching Data Maturity Level 3! You are at the forefront of data-driven decision-making. At this stage, you have a global understanding of the cause-effect relationships between your tactics and business outcomes. Moreover, you have a good understanding of who is going to buy what kind of product, given the kinds of treatment and scenarios available.

Project 3 will show you how to quickly find a way to impact a business goal.

Now that you are at Data Maturity Level 3, you are at the highest degree of maturity that is widely adopted in the industry. In this section, Tina will discuss what your company can do once it reaches this final stage.