Data-Driven Business Growth

with Davis Balaba and Tina Huang
4.7/5
(296)

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
Limited-Time Offer
20% off

$99.00

$79.00

Lifetime access

00 Days
:
18 Hours
:
47 Minutes
:
10 Seconds
Get 20% OFF
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

Limited-Time Offer
20% off

$99.00

$79.00

Lifetime access

00 Days
:
18 Hours
:
47 Minutes
:
10 Seconds
Get 20% OFF
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
Limited-Time Offer
20% off

$99.00

$79.00

Lifetime access

00 Days
:
18 Hours
:
47 Minutes
:
10 Seconds
Get 20% OFF
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.

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Introduction to the course

1.1 Introduction to the course

3 min

The stages of data maturity and what you will see next

2.1 The stages of data maturity and what you will see next

3 min

How to go from no data to some data - Reach Level 1

2.2 How to go from no data to some data - Reach Level 1

3 min

Data maturity Level 1

3.1 Data maturity Level 1

2 min

Intro to Project 1

3.2 Intro to Project 1

4 min

Curriculum

  • 1. Introduction
    1 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 course
    3 min
  • 2. The stages of data maturity
    2 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 next
    3 min
    How to go from no data to some data - Reach Level 1
    3 min
  • 3. Data Maturity Level 1 - Project 1
    16 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 1
    2 min
    Intro to Project 1
    4 min
    Project 1 - data files Read now
    1 min
    Why do the analysis?
    1 min
    Formulating an analysis plan
    2 min
    The data we will use
    1 min
    Exploring the data: large dataset
    6 min
    Exploring the data: small dataset
    8 min
    Customer journey
    9 min
    Top of funnel opportunities
    5 min
    Middle of funnel opportunities
    4 min
    Bottom of funnel opportunities
    6 min
    Test and learn
    7 min
    Next steps
    2 min
    How to get to data maturity Level 2
    3 min
    How to ask for funding
    3 min
  • 4. Data Maturity Level 2 - Project 2
    11 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 2
    16 min
    Intro to Project 2
    2 min
    The Crawl stage
    6 min
    The Walk stage
    7 min
    The Run stage
    2 min
    A/B testing and A/B test mechanics
    7 min
    Statistical significance and potential outcomes
    4 min
    The impact of sample size
    3 min
    Test power vs. lift
    14 min
    How to get to Data Maturity Level 3
    3 min
    How to ask for funding
    2 min
  • 5. Data Maturity Level 3
    1 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 3
    5 min
  • 6. Project 3
    6 Lessons 67 Min

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

    Intro to Project 3
    2 min
    Exploring the dataset
    6 min
    Analyzing purchase rate across groups
    11 min
    Understand the business problem and specify your objectives
    5 min
    Explore data. Create, train, and test dataset
    9 min
    Perform the analysis
    34 min
  • 7. Beyond Data Maturity Level 3
    1 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 further
    5 min

Topics

TheoryGoogle SheetsData-driven decision-makingGrowth mindsetDigital analyticsE-commerce analyticsA/B testingSpreadsheet analysisdata analysis

Tools & Technologies

google sheets
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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.

Exams and certification

Meet Your Instructor

Davis Balaba

Davis Balaba

Data Science Manager at Meta

4 Courses

297 Reviews

3394 Students

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.

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