You might think data science is a young person’s game. After all, this is a relatively new discipline that might not have been around when you were in school. But research shows nearly half of all data scientists are 40 years and older. Whatever your age, it’s never too late to pursue your dreams of becoming a qualified data scientist. Learn how to succeed in this profession in this blog.
At first glance, jumping from marketing to data science might seem absurd. Marketing’s all about promoting products and services to customers, while data science involves generating insights from data, right? But these careers overlap in several ways, so switching to data science isn’t as crazy as you think. In fact, it’s perfectly doable if you’re willing to develop a new skill set to complement the one you already have. We’re going to tell you how to become a data scientist if your background is in marketing.
If you plan to become a data scientist, it’s critical to understand the storytelling techniques that will help you present data to marketers, directors, investors and stakeholders. You won’t just tell your audience about algorithms and hard numbers but explain the phenomena behind them. Learn more about data storytelling here.
Are you ready to become a data scientist? Learn whether it’s possible to get a job and kick-start your career without a data science degree in this blog post.
ChatGPT can help data scientists complete tasks such as research and classifying text. Learn more about ChatGPT and AI in this review from The Data Incubator.
Data is changing the way our world works. TDI gives professionals a chance to join this growing industry and advance their careers in data. But what do they have to say about their experience? Find out more in this panel discussion with TDI graduates!
Want to enroll in a data science bootcamp? Learn the differences between TDI’s Data Science Bootcamp and Insights’ Data Science Fellows Program.
Sign up for our newsletter!