DSBP0: Data Science for Business Professionals Learning Plan

In the Data Science for Business Professionals Learning Plan, instructor Jeremy Taylor provides business professionals with a comprehensive understanding of Data Science concepts and their practical applications in the business world. This Learning Plan aims to bridge the gap between Data Science and business strategy, equipping participants with the knowledge and skills necessary to leverage data to drive informed decision-making and gain a competitive edge in today's data-driven landscape.

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!

Data Science for Business Professionals

Course 1: Introduction to Data Sciences

  • Data Science for Business Professionals Learning Plan Overview
  • Course Curriculum
  • Data Science Overview
  • Data Science Usage
    • Case Studies – Descriptive Analysis
    • Case Studies – Diagnostic Analysis
    • Case Studies – Predictive Analysis
    • Case Studies – Prescriptive Analysis
  • Importance of Data Science in Business
  • Data Science Vs. Data Analytics
  • Role of Data Warehousing
  • Innovation and Trends in Data Science
  • Leaders in Data Science – Countries
    • Leaders in Data Science – Companies
  • Data Science for Business Professionals – Progress Review
  • Instructor Contact Information

Course 2: Data Science Technologies

  • Data Science for Business Professionals Learning Plan Overview
  • Course Curriculum
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Deep Learning (DL)
    • AI/ML Vs. DL
  • Structured Vs. Unstructured Dara
  • Cloud Computing
    • Types of Cloud Service Offerings
  • Internet of Things (IOT)
  • Big Data
  • Quantum Computing
  • Popular AI Platforms
  • Deep Learning Tools
  • Quantum Computing Tools
  • Data Science for Business Professionals – Progress Review
  • Instructor Contact Information

Course 3: Dashboarding Tools for Data Analysis

  • Data Science for Business Professionals Learning Plan Overview
  • Course Curriculum
  • Tableau
    • Tableau – Use Cases
  • Microsoft Power BI
    • Microsoft Power BI – Use Cases
  • Qlik Sense
    • Qlik Sense – Use Cases
  • Good Data
    • Good Data – Use Cases
  • IBM Watson Tools and Cognos
    • IBM Watson Tools and Cognos – Use Cases
  • Data Science for Business Professionals – Progress Review
  • Instructor Contact Information

Course 4: Getting Started with Data Science

  • Data Science for Business Professionals Learning Plan Overview
  • Course Curriculum
  • Overview of Programming Languages Used for Data Science
  • Databases Used for Data Science
  • Core Data Engineering Skills and Resources to Learn Them
  • Data Mining
  • Data Warehousing
  • Data Science Cloud Providers
  • Data Science Cloud Providers
  • Data Science for Business Professionals – Progress Review
  • Instructor Contact Information

Course 5: Staffing a Data Science Team

  • Data Science for Business Professionals Learning Plan Overview
  • Course Curriculum
  • Building Your Data Science Team
  • The Different Roles in Data Engineering
  • Role of a Data Engineer in the Data Science Ecosystem
    • Differences Between a Data Engineer and Data Scientist
  • Managing Your Data Science Team
  • Development Methodologies – Agile
  • Development Methodologies – Scrum
  • Development Methodologies – Waterfall
  • Development Methodologies – Lean
  • Where to Find Your Data Science Team
  • Data Science for Business Professionals – Progress Review
  • Instructor Contact Information
Milestone

Complete All Five DSBP Courses


1. DSBP1: Introduction to Data Science

required
Course

This 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
Course

The 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
Course

The 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
Course

The 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
Course

The 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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ENROLL IN THIS LEARNING PLAN TODAY

$419.00


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