07.10.2024
Data-Driven Business Growth
with
Davis Balaba
and
Tina Huang
Unlock the power of data-driven decision-making in your organization: Adopt a growth mindset to create real business value
4 hours of content
3394 students
20% off : : :
Get 20% OFF
$99.00
$79.00
00 Days
18 Hours
47 Minutes
10 Seconds
14-Day Money-Back Guarantee
What you get:
- 4 hours of content
- 11 Downloadable resources
- Interactive exercises
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
Data-Driven Business Growth
A course by
Davis Balaba
and
Tina Huang
20% off : : :
Get 20% OFF
$99.00
$79.00
00 Days
18 Hours
47 Minutes
10 Seconds
14-Day Money-Back Guarantee
What you get:
- 4 hours of content
- 11 Downloadable resources
- Interactive exercises
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
20% off : : :
Get 20% OFF
$99.00
$79.00
00 Days
18 Hours
47 Minutes
10 Seconds
14-Day Money-Back Guarantee
What you get:
- 4 hours of content
- 11 Downloadable resources
- Interactive exercises
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Grow your business through the author’s data-driven Growth Mindset framework
- Get your business to the next maturity stage through data analysis and data-driven growth
- Extract actionable insights from your data to drive increased profitability
- Devise clear and testable business hypotheses to validate new growth opportunities
- Prepare and run A/B tests fast to iterate quickly and find the winning business formula in your field
- Build a bridge between technical data analysis skills and actionable business understanding
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
The growth mindset requires you to adopt a 3-step process: devise clear hypotheses, explore and rank said hypotheses, test fast and learn faster. In this course, Tina and Davis will take you on an amazing and rewarding journey. Structured in a clear and easy-to-follow way, the course describes each of the 3 levels of data maturity, provides related real-world case studies, and advises you on how to get to the next stage. You will also learn how to ask for more funding from key decision-makers. Data-driven Growth is suitable for individuals working in small, mid-sized, and large companies. It can be highly beneficial for data science managers, business executives, data scientists, and data analysts. The skills you will gain include Data-driven decision-making, Growth mindset, Digital marketing analytics, E-commerce analytics, A/B testing and Spreadsheet analysis.
Learn for Free
1.1 Introduction to the course
2.1 The stages of data maturity and what you will see next
2.2 How to go from no data to some data - Reach Level 1
3.1 Data maturity Level 1
3.2 Intro to Project 1
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
- 1. Introduction1 Lesson 3 Min
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.
Introduction to the course3 min - 2. The stages of data maturity2 Lessons 6 Min
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.
The stages of data maturity and what you will see next3 minHow to go from no data to some data - Reach Level 13 min - 3. Data Maturity Level 1 - Project 116 Lessons 64 Min
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.
Data maturity Level 12 minIntro to Project 14 minProject 1 - data files Read now1 minWhy do the analysis?1 minFormulating an analysis plan2 minThe data we will use1 minExploring the data: large dataset6 minExploring the data: small dataset8 minCustomer journey9 minTop of funnel opportunities5 minMiddle of funnel opportunities4 minBottom of funnel opportunities6 minTest and learn7 minNext steps2 minHow to get to data maturity Level 23 minHow to ask for funding3 min - 4. Data Maturity Level 2 - Project 211 Lessons 66 Min
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.
Data Maturity Level 216 minIntro to Project 22 minThe Crawl stage6 minThe Walk stage7 minThe Run stage2 minA/B testing and A/B test mechanics7 minStatistical significance and potential outcomes4 minThe impact of sample size3 minTest power vs. lift14 minHow to get to Data Maturity Level 33 minHow to ask for funding2 min - 5. Data Maturity Level 31 Lesson 5 Min
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.
Data Maturity Level 35 min - 6. Project 36 Lessons 67 Min
Project 3 will show you how to quickly find a way to impact a business goal.
Intro to Project 32 minExploring the dataset6 minAnalyzing purchase rate across groups11 minUnderstand the business problem and specify your objectives5 minExplore data. Create, train, and test dataset9 minPerform the analysis34 min - 7. Beyond Data Maturity Level 31 Lesson 5 Min
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.
What to do to improve even further5 min
Topics
Course Requirements
- No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course
- All you need is spreadsheet software or a programming tool to follow along
Who Should Take This Course?
Level of difficulty: Beginner
- Aspiring business analysts, data analysts, and data scientists
- Current business analysts, data analysts and data scientists who are passionate about growth and want to boost their business acumen
- Business owners and startup founders
Exams and Certification
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
Meet Your Instructor
Davis Balaba is the Head of Data Science New Product Experimentation at Meta. Originally from Uganda, he relocated to the United States more than 20 years ago. Before joining Meta, Davis served as Senior Associate at HSBC and as Senior Principal Data Scientist at Asurion. There, he composed a three-step framework (explore/segment/personalize) for a recommender system that would assign the right content to the right customer at the right time. In addition, he supervised the development of customer churn prediction models that power proactive engagement and retention strategies. Early on at Meta, he created a multi-step algorithm for optimizing high-dimensional ad spaces on Facebook using the Design of Experiments (DoE) approach. In his current role, Davis develops and tests new product concepts across multiple verticals that help build and foster the company’s global community.
What Our Learners Say
365 Data Science Is Featured at
Our top-rated courses are trusted by business worldwide.