The Data Science for Business Professionals Learning Plan is designed to equip business professionals with essential knowledge in the field of Data Science, enabling them to leverage data effectively to drive insights and make informed decisions. In today's data-driven world, understanding the principles and techniques of Data Science has become crucial for professionals across various industries.
By the end of this 5-course learning plan, participants will have acquired a strong foundation in Data Science principles and the ability to apply data-driven insights to enhance business strategies. They will be equipped to communicate effectively with data scientists and analysts, and they will understand foundational Data Science technologies, how to get started with such technologies, and how to staff a Data Science team.
Learning Plan Objectives:
- Develop a foundational understanding of Data Science terminology, concepts, and techniques
- Gain insights into AI, machine learning, cloud computing, and popular Data Science platforms and tools
- Explore leading dashboarding tools for data analysis, such as Tableau, Microsoft PowerBI, QlikSense, GoodData, IBM Watson, and Cognos
- Learn about computer languages used in Data Science
- Understand data mining and data warehousing in terms of their connections with Data Science
- Discuss different roles in Data Science, staffing needs, and the differences between data scientists and data engineers
This learning plan is tailored for business professionals from diverse backgrounds who are seeking to enhance their understanding of Data Science and gain a solid foundation in Data Science principles. It is suitable for executives, managers, analysts, consultants, and entrepreneurs who want to leverage Data Science to drive strategic decision-making, optimize processes, and improve business outcomes.
Learning Plan Price: $419
Individual Course Price: $99
Learning Plan CEUs: 5.0 hours
Each Course Includes:
- A 48- to 56-minute educational training video
- A 10- to 12-question exam
- “Check for Understanding” quizzes after each course section
- Self-paced and on-demand e-learning
- Unlimited course access
Courses within the Data Science for Business Professionals Learning Plan:
- Introduction to Data Science
- Data Science Technologies
- Dashboarding Tools for Data Analysis
- Getting Started with Data Science
- Staffing a Data Science Team
We offer several bulk licensing options for corporate and group use.
Contact us for a follow-up discussion!
Milestone
Complete All Five DSBP Courses
1. DSBP1: Introduction to Data Science
required
CourseThis Introduction to Data Science course, with instructor Jeremy Taylor, is designed to provide students with a comprehensive introduction to the field of Data Science. Students will learn primary concepts, look at case studies featuring different types of analytics, and gain an understanding of the importance of Data Science in business, the role of data warehousing, main trends, and more.
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2. DSBP2: Data Science Technologies
required
CourseThe Data Science Technologies course, with instructor Jeremy Taylor, is designed to provide students with a general understanding of the technologies and tools used in the field of Data Science. Students will learn about the various terminology and techniques used in Data Science, such as AI, machine learning, deep learning, available tools, structured and unstructured data, and more.
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3. DSBP3: Dashboarding Tools for Data Analysis
required
CourseThe Dashboarding Tools for Data Analysis course, with instructor Jeremy Taylor, is designed to equip students with the skills and knowledge required to understand the types of dashboards used for data analysis and Data Science. Students will learn about various dashboarding tools and platforms, such as Tableau, Microsoft PowerBI, QlikSense, and others.
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4. DSBP4: Getting Started with Data Science
required
CourseThe Getting Started with Data Science course, with instructor Jeremy Taylor, is designed to provide students with a foundational understanding of the field of Data Science and to equip them with knowledge to begin their journey in Data Science. Students will learn about some of the key languages used in Data Science, as well as about data engineering skills, databases, data mining, data warehousing, and cloud providers.
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5. DSBP5: Staffing a Data Science Team
required
CourseThe Staffing a Data Science Team course, with instructor Jeremy Taylor, is designed to provide students with the knowledge and skills necessary to build and manage an effective Data Science team within an organization. Students will learn about the roles and responsibilities within a Data Science team, different roles in data engineering, how data scientists and data engineers differ, and how teams are managed.
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