Business Analytics with Excel
Business Analytics with Excel
Business Analytics with Excel delves into the realm of data-driven decision-making by acquainting learners with analytical frameworks crucial for effective decision-making. This course focuses on Excel modeling techniques, including Linear and Integer Optimization, Decision Analysis, and Risk modeling. Through hands-on application, students learn to translate real-world business problems into actionable models using Excel.

Level: Intermediate
Recommended: Experience
Duration: 23 hours over 3 weeks, with 7 hours per week
Flexible Scheduling: Learn at your own pace
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Key Focus Areas:
  • Understanding analytical frameworks for decision-making.
  • Application of statistical methods and modeling using Excel.
  • Optimization of models for effective decision support.
  • Interpretation of results to drive strategic decisions.
  • Course Modules:
    Introduction to Excel: Basics and Best Practices
    Familiarize with spreadsheet design and mathematical optimization modeling. Learn through practical examples derived from real-world scenarios.

    What-If Analysis in Excel
    Explore advanced Excel functions and tools for modeling complex business problems. Gain insights into real business scenarios through application-oriented exercises.

    Decision Analysis through Regression and NPV
    Learn curve fitting and regression analysis techniques to solve business problems. Understand the rationale behind selecting appropriate regression models.

    Linear Programming
    Introduction to spreadsheet optimization, with a focus on Linear Programming (LP). Learn to model and solve diverse organizational problems using LP techniques.

    Transportation and Assignment Problems
    Explore advanced LP applications in transportation and assignment problems. Utilize Solver to find optimal solutions for complex business challenges efficiently.

    Integer Programming and Nonlinear Programming
    Delve into Integer and Nonlinear Programming models for more complex problem-solving. Apply Excel modeling skills to tackle intricate business scenarios effectively.
    How To Apply
    Follow the below steps to apply for the program:
    1. Visit Our Official Website.
    2. Read carefully all the information about the program details.
    3. Click on the "Register" to complete the registration with required details.
    4. After successful registration, Use the received credentials to log into your account.
    5. Once logged in, Click on the "Apply" button.
    6. You will be directed to the application form. Fill in all the required details accurately.
    7. Before submitting, review all the information you have provided.
    8. After that, Click on the "Submit” button to submit your application.
    Note: "As a free user,"
    →'You're encouraged to share this valuable information with your friends to access the link properly'.

    Free

    Business Analytics with Excel
    SCHOLARSHIP PROVIDER
    Johns Hopkins University
    APPLICATION DEADLINE
    31 December
    EDUCATION LEVEL
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    Business Analytics with Excel delves into the realm of data-driven decision-making by acquainting learners with analytical frameworks crucial for effective decision-making. This course focuses on Excel modeling techniques, including Linear and Integer Optimization, Decision Analysis, and Risk modeling. Through hands-on application, students learn to translate real-world business problems into actionable models using Excel.

    Level: Intermediate
    Recommended: Experience
    Duration: 23 hours over 3 weeks, with 7 hours per week
    Flexible Scheduling: Learn at your own pace