Data-Driven Growth: How to Grow Your Business with Data (Udemy.com)
Learn How to Adopt the Growth Mindset and Build a Successful Data-Driven Business
Created by: 365 Careers
Last updated July 2022
What you will learn
- How to adopt the data-driven growth mindset
- Transform your company into a data-driven enterprise
- Develop the growth mindset
- Understand the 3 levels of data maturity
- Diagnose the current state of affairs in your business
- Uncover business value by using data
- Start making data-driven decisions
- Build a data-driven business
- Ensure your business makes disciplined data-driven decisions
- Leverage the power of A/B testing and experimentation
- Acquire the necessary budget to hire talent and invest in data infrastructure
- Get your business to data maturity level 3
How it compares
Against the other 1,210 rated Udemy courses in Business on CourseDuck:
- Rating4.6 out of 5higher than 74% of them
- Reviews246#869 of 1,211 by number of reviews
- Length3.5 hourslonger than 57% of them
- Last updatedJuly 2022earlier than 82% of them
Course Description
What is data-driven decision making?
Why is it essential for your business?
How to take actionable steps to apply the growth mindset framework?
By the end of this course, you will be able to answer these questions and will have a clear idea of how to transform your company into a data-driven enterprise.
About the authors
Tina Huang is one of the most popular data YouTubers with more than 350k subscribers. She holds a Master’s degree (Computer and Information Technology) from the University of Pennsylvania and has worked as a data scientist at Meta.
Davis Balaba, PhD is a data science manager with significant experience in one of the MANGA companies.
Why is this course different?
The authors are not consultants who want to sell abstract ideas. They are a pair of data science manager and data scientist who have actually implemented the strategies discussed in the course in their own work and seen the results. If you are a manager or a small business owner, you will know that strategy is crucial, but implementation is a whole other beast. Davis and Tina are here to help you develop the growth mindset and help you start making data-driven decisions.
The growth mindset framework
What is the growth mindset? Why was it such a revolution?
The growth mindset manifests itself in a culture of discontent of the current state. The underlying assumption is that there is always more value to be uncovered and data is the path to unlock that value.
What if our business does not have as much data as a large tech company?
Growth is a mindset. Data fuels your growth thinking
You don’t realize how much data you have until you start focusing on it
The course also provides actionable advice on how to get started on your data journey. You don’t have to have big data to be data-driven.
Why is the growth mindset important?
This course is an amazing collection of videos that teach you how to approach data science work with a growth mindset. This mindset can be the key lever to grow your business.
The growth mindset is important for three reasons:
Ensures that you always work on the most important problems first
Helps clarify what outcomes you can expect
Focused on the desired end-result and encourages an execution mindset
How will this course help you?
You want to grow your company by trying to ensure it makes disciplined data-driven decisions.
In the absence of prior data, the associated risk to a data science investment is assumed to be high. When the associated risk is high, decision makers’ desire to invest is lower.
Where does that leave you as a data scientist, a data science team, or a data science leader that is trying to accelerate your company’s data journey?
This course will show you how approaching your work with a growth mindset can help you reduce the associated risk to data investment.
Davis and Tina propose low-cost ways to de-risk the decision for the budget owner. In the process, you will acquire the budget to get the talent, skills, and the tools you need to fully unlock the value hidden in your data.
Does the content of this course apply to all industries and verticals?
The answer is yes. In any vertical, in which you can have multiple challenges or multiple potential solutions (which is all businesses) coupled with limited resources, having a growth mindset will always help you prioritize better.
How is the course structured?
If this sounds a bit vague to you, no problem. Let’s be more concrete with full examples of what you can achieve at each stage of maturity.
Assuming we can define three stages of data maturity (level 1, level 2, level 3), Tina and Davis will explain what the different stages look like (in case you are not sure which stage you are in) and discuss how to use the growth mindset in that stage and what you can accomplish using the data you have.
Then the lessons will be hands-on and Davis would walk you through a full project, so you can see the exact steps in implementation. At the end of each section, Tina will discuss, what are the steps you need to undertake to get to the next stage of data maturity.
Sounds like one of the most valuable online courses you have come across, doesn’t it?
Well then what are you waiting for?
Buy the course now and get started on your data-driven journey today!
Instructor Details
- 4.6 Rating
246 Reviews
365 Careers
365 Careers is the #1 best-selling provider of business, finance, data science and AI courses on Udemy. The company’s courses have been taken by more than 4,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.
Currently, 365 focuses on the following topics on Udemy: 1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA
2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy
3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing
4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook
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Reviews
By Benjamin Luera on 12/18/2025
Great training class on Data Given Growth. This is the way to run a business.
By Amjad Khan on 9/30/2025
It's a great learning session,
By Brent Simmons on 9/9/2025
Good coverage within training and model projects.
By Anonymized User on 7/24/2025
yes especially the stages of data
By Anonymized User on 5/18/2023
The example is easy understanding. Understand the data maturity.
By Joolean14 on 3/27/2023
Great course, the content quality was excellent. In my opinion video edition, and audio quality could improve. Also the narration doesn't have stops so it makes it a little harder to comprehend. I paid for quality content and that's what I got so I still believe in 5 star rating, thank you.
By Anonymized User on 1/4/2023
Muy didáctico, con ejemplos claros.
By Michael M. Martin on 11/24/2022
The content of the course scores a 5/5 because it is useful and relevant, perhaps it is the delivery that can be improved upon.
By Helena Rolle on 10/10/2022
Course materials was easy to follow; tried to assess from a layman's perspective. While some resources were available, would have appreciated some more content slides. Very informative.
By Aurelio Hess on 7/28/2022
Very interesting work. Liked so much.
Quality Score
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Overall Score : 92 / 100












