IBM

Data Beginner

Data is everywhere, and understanding how to collect, analyze, and interpret it is essential in today’s digital world. This course introduces the fundamentals of data science, including types of data, big data, the data analytics process, and data visualization. You’ll also explore real-world applications of data science and career opportunities in this growing field.

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Data Beginner
  • 3 Lessons
  • Beginner
  • 2 hours
  • Category Data analytics
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Data is everywhere, and understanding how to collect, analyze, and interpret it is essential in today’s digital world. This course introduces the fundamentals of data science, including types of data, big data, the data analytics process, and data visualization. You’ll also explore real-world applications of data science and career opportunities in this growing field.

  • Data Science Conceptual Understanding: The ability to articulate what data science is, its overall value, and the fundamental steps involved in handling data.
  • Data Type & Analytics Process Recognition: The skill to differentiate between various data types and understand the complete lifecycle of the data analytics process.
  • Big Data Management Awareness: Foundational knowledge of how big data is managed, including its characteristics and common approaches to handling large datasets.
  • Real-World Data Science Application: The capacity to identify and describe how data science is practically applied to solve problems and drive insights across different industries.
  • Data Science Career Pathway Exploration: The knowledge to identify diverse career opportunities within the data science field and understand the basic requirements for entry.
  • Explain the importance of data in a digital world.
  • Differentiate between structured and unstructured data.
  • Identify the purpose of a database.
  • Distinguish between quantitative and qualitative data.
  • Describe the five V’s of big data.
  • Explain the four types of data analytics.
  • Understand the steps in the data analysis process.
  • Identify the purpose of data visualization.
  • Recognize different types of charts for effective data visualization.
  • Explore career opportunities in data science and understand what it’s like to work as a data scientist.
  • Comprehensive video lessons explaining the core principles of data science, encompassing how data is handled and processed, and its intrinsic value in decision-making.
  • Practical exercises and conceptual breakdowns exploring different types of data, the end-to-end data analytics process, and methodologies for managing big data.
  • Case studies and industry insights demonstrating the real-world application of data science across various sectors and providing guidance on exploring relevant career opportunities.
  • Certificate of completion upon successful course completion.
Lessons
    • Section1: What is data? (Mobile Version)
      0 Section 0 minutes
      Learn why data science is like hunting for treasure! You’ll get a closer job at the work and why you might choose it as your own career. It's all about information How do you handle data? How to become a data scientist? Will you like the work? Data science as a career
    • Section1: Data Science in the Real World (Mobile Version)
      0 Section 0 minutes
      Working with Data Applying data science What's it like to be a data scientist at IMB? Data science and you!
    • Section 2: Introduction to Data Concepts
      0 Section 0 minutes
      In this course, you will become familiar with fundamental data concepts such as types of data, big data, the typical steps in the data analytics process, and data visualization. What you’ll learn After completing this course, you should be able to: Explain the importance of data in a digital world Differentiate between unstructured and structured data Identify the purpose of a database Differentiate between quantitative and qualitative data Describe the five V’s of big data Describe the four types of data analytics Explain the work involved in each step of the data analysis process Identify the purpose of a data visualization Recognize different charts to display data visualizations in the best way
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