Driving Business with Data Science

Training - Online

$299 - IAB Members

$399 - Non-Members

All media professionals, not just analysts, must understand the fundamentals of data science to thrive in a data-driven world. Driving Business with Data Science is an intermediate-level course that demystifies data science and enables participants to think like data scientists to develop business strategies with a data-first mindset.

The curriculum defines Big Data through the Seven V’s (Volume, Velocity, Variety, Variability, Veracity, Visualization, and Value) and explains the different types of Big Data analytics. Lessons distinguish between Data Privacy and Data Security while reviewing key regulations such as GDPR, CCPA, and COPPA. The course also provides a six-step Data Scientist Framework that non-technical professionals can use to solve business problems. Learners apply this framework to real business scenarios to learn how to improve campaign performance, ROI, and decision-making.

Discussion Topics

Leaders and Executives looking to build a data science team, implement data analytics, or foster a data-driven culture within their organization.
Brand Marketers looking for ways to utilize big data and data-first mindsets to enhance their business strategies.
Agency Representatives planning to use data science-based approaches to improve campaign performance and client results.
Employees of Publishers and Platforms looking to navigate big data best practices and add more value to their current organization and clients.

This course has four core modules:

Understanding the Data Landscape: About Big Data, the Seven V’s for classifying data, types of analytics, and the importance of Big Data analytics.
Data Science in Organizations: Demand for data scientists, specific analytics roles, organizational challenges, best practices, and data protection/governance.
How to Think like a Data Scientist: The Data Scientist Framework (Step 1: Business Process; Step 2: Explore Data; Step 3: Prepare Data; Step 4: Analyze Data; Step 5: Model/Interpret; Step 6: Optimize).
Data Science Use Cases: Real-world examples of data science applications in business environments.

FAQ

1. Understand the Applications of Big Data and Data Science

You’ll be able to explain the fundamentals of the data landscape and identify how big data applications can solve everyday business problems.

2. Apply Data Science to Advance Business Objectives

You’ll be able to use the six-step Data Scientist Framework to translate business goals into data-driven strategies that impact the bottom line.

3. Foster a Data Scientist Mindset in a Professional Role

You’ll be able to develop a data-first mindset to intelligently use available tools and make more informed, evidence-based decisions in your current role.

4. Speak to Organizational Challenges and Best Practices

You’ll be able to identify common hurdles when implementing data science and apply industry best practices for data governance and protection.

5. Add More Value to Organizations and Clients

You’ll be able to leverage analytical insights to enhance business strategies and provide more impactful results for your organization and its clients.

Driving Business with Data Science

Leaders and Executives looking to build a data science team, implement data analytics, or foster a data-driven culture within their organization.

Brand Marketers looking for ways to utilize big data and data-first mindsets to enhance their business strategies.

Agency Representatives planning to use data science-based approaches to improve campaign performance and client results.

Employees of Publishers and Platforms looking to navigate big data best practices and add more value to their current organization and clients.

FAQ

1. Understand the Applications of Big Data and Data Science

2. Apply Data Science to Advance Business Objectives

3. Foster a Data Scientist Mindset in a Professional Role

4. Speak to Organizational Challenges and Best Practices

5. Add More Value to Organizations and Clients

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