Monday, January 22, 2024

Training Excel for Business Analytics: Advanced Data Analysis Techniques

Syllabus Training

Excel for Business Analytics: Advanced Data Analysis Techniques

Training Methods : Offline Public/ Online/ Inhouse

For further more details : 

Whatsapp Us at 0838-0838-0001 ( ) 

Training Description:

This training is tailored for professionals seeking to harness advanced data analysis techniques in Excel for informed decision-making. Participants will explore powerful tools and functions to analyze large datasets, perform statistical analysis, and derive actionable insights.

Training Objectives:

  • Develop advanced data analysis skills in Excel.
  • Master statistical analysis and data visualization techniques.
  • Acquire the ability to make data-driven decisions.

Training Prerequisites: Basic proficiency in Excel, including familiarity with basic data analysis functions. Participants should have a basic understanding of statistical concepts.

Outline Materi:

  1. Overview of Advanced Data Analysis:

    • Understanding the role of data analysis in decision-making.
    • Overview of advanced data analysis tools in Excel.
  2. Data Cleaning and Preparation:

    • Techniques for cleaning and organizing large datasets.
    • Preparing data for advanced analysis.
  3. Statistical Analysis with Excel:

    • Descriptive statistics and summary functions.
    • Inferential statistics, hypothesis testing, and regression analysis.
  4. Advanced PivotTable Techniques:

    • Leveraging PivotTables for complex data analysis.
    • Integrating multiple datasets for comprehensive insights.
  5. Data Analysis with Power Query:

    • Advanced data transformation techniques using Power Query.
    • Combining and shaping data for in-depth analysis.
  6. Advanced Charting for Analysis:

    • Creating specialized charts for trend analysis.
    • Visualizing statistical results with advanced charts.
  7. Forecasting and Predictive Analytics:

    • Time-series forecasting using Excel.
    • Introduction to predictive analytics with Excel.
  8. Solver and Goal Seek for Optimization:

    • Utilizing Solver for optimization problems.
    • Implementing Goal Seek for scenario analysis.
  9. Monte Carlo Simulation in Excel:

    • Understanding and applying Monte Carlo simulation.
    • Using simulation for risk assessment.
  10. Advanced Data Analysis Functions:

    • Leveraging functions like RANK, PERCENTILE, and more.
    • Applying array formulas for complex analysis.
  11. Business Intelligence with Excel:

    • Introduction to Power BI integration.
    • Creating interactive dashboards for business intelligence.
  12. Case Studies and Practical Applications:

    • Applying advanced data analysis techniques to real-world scenarios.
    • Hands-on exercises for practical implementation.
  13. Q&A and Troubleshooting Session:

    • Addressing participant questions and challenges.
    • Troubleshooting common issues in advanced data analysis.

Upon completion, participants will have the skills to conduct advanced data analysis, perform statistical modeling, and derive actionable insights from complex datasets using Excel.


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