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Data Science for Business Leaders

Executive Program

Master the strategic decision-making skills for the people, platforms, and processes required to leverage the power of Data Science in your business.

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  • Estimated time
    4 - 8 Weeks

    At 5 hours / week

  • Enroll By
    September 28, 2022

    Get access to the classroom immediately upon enrollment

  • Prerequisites
    Statistics, Probability, and Business Experience
In partnership with
  • Alteryx
"Throughout my career, I have seen data science projects succeed — and I've seen them fail. Udacity’s Data Science for Business Leaders Executive Program will help guide business leaders toward building successful artificial intelligence, machine learning, and big data initiatives."

Ed WileyProgram Instructor & Senior AI and Data Science Executive

What you will learn

  1. Data Science for Business Leaders

    4 - 8 Weeks to complete

    This course provides business leaders and managers with strategies and guidelines for how best to solve the human capital, technological, and management challenges of building data science into the business. Students will gain skills in identifying opportunities for data science across many functional areas of the business, as well as learn the tools to prioritize and execute on those opportunities as part of a data science initiative.

    Prerequisite knowledge

    1. Introduction to Data Science

      Businesses often suspect that they want Data Science capabilities, and may even sense a need for Data Science capabilities, but many are not sure where to start. Learn exactly what Data Science is, who Data Scientists are, and what's possible through Data Science.

      • Business Case for Data Science

        Creating a data science strategy isn’t a standalone activity; it must be driven by a business's overarching operations and strategy. This course will cover how to articulate a business’s strategic objectives and identify opportunities for data science-based transformation, a critical starting point for any data strategy.

        • Human Capital of Data Science

          The human capital component of Data Science is critical to delivering on a data science strategy. Learn how to recruit, hire, and train for a Data Science organization, and how to structure that organization in order to deliver value to the business. Asses ways to leverage data and data science to foster a data-driven culture throughout the business.

          • Data and Machine Learning Infrastructure Strategy

            Technology needs are specific to each business; they depend on the types of data to be leveraged for Data Science, the form and magnitude of that data, the types of data science models that a business plans to create, and the overall scale of operations represented by those data science models. This lesson investigates the parameters that must be considered both in creating a Data Architecture Strategy and in building a Machine Learning Architecture to support Data Science initiatives.

            • CAPSTONE PROJECT - Build a 100-Day Data Plan

              Draw on all of the skills learned throughout the lessons to create a Data Science strategy that drives transformation in the business during your first 100 days.

          Learn with the best.

          Learn with the best.

          • Ed Wiley

            Chief Technology Officer, Enveda Therapeutics

            Mr. Wiley has over 20 years of experience building, leading, and advising world-class machine learning, AI, and data science teams at companies at stages from startup to Fortune 50, holding titles such as CIO, CTO, and Chief Data Scientist.

          All our programs include:

          • Real-world projects from industry experts

            With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.

          • Technical mentor support

            Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.

          • Career services

            You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

          • Flexible learning program

            Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

          Succeed with personalized services.

          We provide services customized for your needs at every step of your learning journey to ensure your success.

          Get timely feedback on your projects.

          • Personalized feedback
          • Unlimited submissions and feedback loops
          • Practical tips and industry best practices
          • Additional suggested resources to improve
          • 1,400+

            project reviewers

          • 2.7M

            projects reviewed

          • 88/100

            reviewer rating

          • 1.1 hours

            avg project review turnaround time

          Mentors available to answer your questions.

          • Support for all your technical questions
          • Questions answered quickly by our team of technical mentors
          • 1,400+

            technical mentors

          • 0.85 hours

            median response time

          Data Science for Business Leaders

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          • Learn

            Drive transformational change by unlocking the potential of Data Science.
          • Average Time

            On average, successful students take 4 - 8 weeks to complete this program.
          • Benefits include

            • Real-world projects from industry experts
            • Technical mentor support
            • Career services

          Program details

          Program overview: Why should I take this program?
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          Data Science for Business Leaders Executive Program

          Master the strategic decision-making skills for the people, platforms, and processes required to leverage the power of Data Science in your business

          Enroll Now