Growth Hacking Online Courses & Certifications
The term “growth hacking” was coined by Sean Ellis, who defined it as “a mindset of data-driven experimentation and relentless optimization focused on growth.” Growth hacking involves a combination of creativity, analytical thinking, and technical skills to find innovative ways to acquire and retain customers.
Some common tactics used in growth hacking include A/B testing, viral marketing, referral marketing, email marketing, social media marketing, and search engine optimization (SEO). Growth hackers also focus on metrics such as customer acquisition cost (CAC), customer lifetime value (CLV), and churn rate to measure the effectiveness of their campaigns.
Growth hacking is commonly associated with startups and early-stage companies that need to grow quickly to gain market share and attract investors. However, larger companies and established businesses also use growth hacking techniques to identify new growth opportunities and stay competitive in their markets.
The simulator is like an internship with the world’s top product teams. But, unlike an internship, you will make key decisions that affect the product and see their consequences. In a few months, you will go from an idea to a highly demanded product ready to scale. In the process, learn to identify standard situations and problems, and choose the best methods to solve them.
The growth function of a product is often associated with either marketing and promotion channels, or generating and testing hypotheses, or experimenting and optimizing funnels. These are all important components, but focusing on each of them loses the bigger picture. The purpose of the simulator is to teach you how to make a clear connection between product growth and the leverage available to the team. In the simulator, you will explore the issue of growth in a broad sense, where marketing and product become a single system.
Get started with hypothesis testing by examining a one-sample t-test and binomial tests — both used for drawing inference about a population based on a smaller sample from that population.
Significance thresholds are essential to conducting hypothesis tests, and this course will introduce everything you need to evaluate the significance of your test statistics and determine if you’ve achieved statistical significance.
Learn how to set up experiments to both address research questions and weigh the trade off between resources and errors.