Data Literacy for Problem-Solving

Melvon Ekandjo
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Learn data and problem-solving concepts to get things done.

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  1. Turning Data into Value

    21 小時前

    Turning Data into Value

    Turning data into measurable organizational value through strategic alignment and capability development. This episode is based on a talk had with business students at Henley Africa.

    37 分鐘
  2. #6. Data Sourcing and Preparation with ETL

    2月18日

    #6. Data Sourcing and Preparation with ETL

    This episode explores the ETL concept. It is used to connect the analysis tool to the data source and automated the flow of data to produce consistent quality data.

    4 分鐘
  3. #5. Planning a Data Project for confirmatory data analysis

    2024/07/11

    #5. Planning a Data Project for confirmatory data analysis

    The planning phase of a data project begins with forming a series of hypotheses, i.e., questions to confirm. A helpful way is to brainstorm the various ways in which a problem can manifest. We introduce mind maps to visualize the problem and the related measures to look at. Confirmatory analysis will be used at a later to confirm if the hypotheses are valid in contributing to the problem. The main purpose of this phase is to generate a series of items to analyze.

    6 分鐘
  4. #4. How to craft Wisdom Questions

    2024/07/07

    #4. How to craft Wisdom Questions

    In this episode we discuss how to ask questions that deliver actionable insights that are useful for decision making.

    10 分鐘
  5. #3. The Analytics Process

    2024/06/24

    #3. The Analytics Process

    In this episode, we dive into the data analytics process, breaking down the journey from problem identification to actionable insights into five essential steps.

    13 分鐘
  6. #2. The different levels of analysis

    2024/06/24

    #2. The different levels of analysis

    In this episode, we explored the four levels of data analytics: descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics helps us describe what's happening, like analyzing sales reports. Diagnostic analytics asks why things are happening, looking at factors influencing trends. Predictive analytics predicts the future based on past data, such as predicting employee performance when hiring. Finally, prescriptive analytics gives recommendations on what to do next, like how airlines use pricing strategies. Join us next time as we continue exploring data literacy!

    6 分鐘
  7. #1. What is Data Literacy Anyway?

    2024/06/24

    #1. What is Data Literacy Anyway?

    In this episode, we explore the concept of data, from ancient forms like cave drawings to modern digital formats such as pictures, emojis, and social media posts. We discuss how digitization has revolutionized data handling and why data literacy is essential in today's information age. Join us as we uncover the value of data and its significance in our daily lives.

    4 分鐘
  8. Data Literacy for Problem-Solving (Trailer)

    預告片

    Data Literacy for Problem-Solving (Trailer)

    Data Literacy for Problem-Solving

    1 分鐘

預告片

簡介

Learn data and problem-solving concepts to get things done.

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