Business Analytics In
Business Analytics with Excel

The Business Analytics with Excel course is designed to provide learners with the skills needed to analyze and interpret business data using Microsoft Excel. This course covers essential techniques for data analysis, including data cleaning, visualization, statistical analysis, and the use of advanced Excel functions and tools. Participants will learn how to leverage Excel to make data-driven decisions and gain insights that can improve business performance.

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Overview

CLO's and SLO's

A Business Analytics with Excel short course provides practical training in using Microsoft Excel as a powerful tool for data analysis and decision-making in business contexts. Here’s a brief overview of what you might expect from such a course:
Course Objectives:

  • Mastering Excel Basics: Building a solid foundation in Excel, including navigating the interface, entering data, using formulas and functions, and formatting spreadsheets.
  • Data Analysis Techniques: Learning how to clean and prepare data for analysis, perform descriptive and inferential statistics, and visualize data using charts and graphs.
  • Advanced Excel Skills: Exploring advanced Excel features such as PivotTables and PivotCharts for summarizing and analyzing data, as well as using What-If Analysis tools for scenario planning.
  • Business Applications: Applying Excel skills to real-world business scenarios such as financial analysis, marketing analytics, and operational efficiency improvements.
  • Decision Support: Using data-driven insights from Excel to support strategic decision-making processes within organizations.

    • Course Structure:
  • Duration: Typically spans from a few days to a few weeks, depending on the intensity and depth of content covered.
  • Delivery: Offered both in-person and online, providing flexibility for learners to choose the format that best fits their schedule and learning preferences.
  • Hands-on Learning: Emphasizes practical, hands-on exercises and case studies to ensure participants gain proficiency in applying Excel for business analytics.
    Target Audience:
  • Professionals: Individuals currently working in business, finance, marketing, operations, or related fields who wish to enhance their data analysis skills using Excel.
  • Students: Undergraduate or graduate students interested in gaining practical Excel skills applicable to their academic studies and future careers.
    Benefits:
  • Immediate Applicability: Skills acquired in the course can be immediately applied to improve data handling and decision-making processes in various business settings.
  • Enhanced Career Prospects: Demonstrating proficiency in Excel for business analytics can boost career opportunities and advancement prospects in data-driven roles.
  • Networking Opportunities: Engaging with instructors and fellow participants can facilitate networking and knowledge exchange within the business analytics community.
    Conclusion:
    A Business Analytics with Excel short course is designed to equip participants with essential Excel skills and analytical techniques needed to extract meaningful insights from data and drive informed business decisions. It offers a practical, efficient way to enhance data analysis capabilities regardless of prior experience, making it accessible and beneficial for a wide range of professionals and students alike.

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    Study contents

    Contents

    Studying Business Analytics with Excel typically covers a range of topics aimed at using Excel as a tool for data analysis and decision-making in a business context. Here’s a structured outline of what you might typically learn:

    Basic Excel Skills:

  • Navigating Excel: Understanding the interface, cells, rows, columns, sheets.
  • Formulas and Functions: Basic functions (SUM, AVERAGE, COUNT), logical functions (IF, AND, OR), text functions (LEFT, RIGHT, CONCATENATE).
  • Formatting: Cell formatting, conditional formatting, data validation.
  • Charts: Creating and customizing charts (bar charts, line charts, pie charts).

    • Data Analysis Techniques:
  • Data Cleaning and Preparation: - Removing duplicates, handling errors, dealing with missing data. - Text to columns, data sorting, filtering
  • Data Visualization:
    • - Using Excel charts effectively. - Creating dashboards and reports.
  • Statistical Analysis:
    • - Descriptive statistics: mean, median, mode, standard deviation. - Inferential statistics: hypothesis testing, confidence intervals.
  • PivotTables and PivotCharts:
    • - Creating PivotTables to summarize and analyze data. - Using PivotCharts for visual representation.
    Advanced Excel Techniques:
  • Advanced Formulas:
    • - Array formulas, nested functions, INDEX and MATCH. - Data analysis toolpak (regression, correlation).
  • What-If Analysis:
    • - Goal Seek, Scenario Manager, Data Tables.
  • Excel Macros:
    • - Basics of recording and editing macros. - Using VBA (Visual Basic for Applications) for automation.
    Business Applications:
  • Financial Analysis:
    • - Creating financial models, calculating NPV, IRR. - Budgeting and forecasting.
  • Marketing Analytics:
    • - Customer segmentation, RFM analysis. - Campaign analysis and optimization.
  • Operations and Supply Chain Analytics:
    • - Inventory management, supply chain optimization. - Process improvement using data analysis.
    Case Studies and Practical Applications:
  • Real-world Examples:
    • - Analyzing sales data, customer churn analysis. - Market basket analysis using transaction data.
  • Decision Support:
    • - Using data to support business decisions. - Risk analysis and decision modeling.
    Resources for Learning:
  • Online Courses: Platforms like Coursera, edX, and LinkedIn Learning offer courses specifically on Business Analytics with Excel.
  • Books: Look for books like "Business Analytics for Managers" by Wolfgang Jank or "Data Analysis Using SQL and Excel" by Gordon S. Linoff. - Tutorials and Blogs: Websites like Exceljet.net, Chandoo.org, and Microsoft Excel’s own support site. By covering these areas systematically, you'll gain a solid foundation in using Excel for business analytics, equipping you to analyze data effectively and derive insights for decision-making.

    • Admission

    Admissions Criteria

  • Generally, short courses do not have strict educational requirements beyond a high school diploma or equivalent. They are often open to individuals from diverse educational backgrounds.

  • Basic familiarity with Excel is often recommended. Some courses may specify this as a prerequisite, expecting students to have a basic understanding of Excel functions, formulas, and data manipulation techniques.

    • Careers

    Become a business analyst using Microsoft Excel

    Business Analyst:

    You can work as a business analyst who uses Excel for data analysis, reporting, and decision-making support in areas such as finance, marketing, operations, and more.

    Data Analyst:

    Excel skills are foundational for data analysts who work with large datasets to extract meaningful insights. You might work in business intelligence, market research, or other data-driven fields.

    Consultant:

    Management consultants often use Excel for data analysis, strategy development, and client reporting. Consulting firms across various sectors look for professionals with strong analytical and Excel skills.

    Financial Analyst:

    Excel proficiency is crucial for financial analysts who perform financial modeling, forecasting, and budgeting tasks. You could work in corporate finance, investment banking, or financial planning and analysis (FP&A).

    Student reviews

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    Tuition fees

    Online Course (Duration 4 Weeks)

    4 weeks course on business analytics with excel

    280 $

    150 $ / Total Cost
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    All our study programmes include the following benefits

    • Teaching and study material
    • Marking of your end-of-module exams
    • Monthly live and recorded tutorials
    • Use of the online campus
    • Individual study coaching
    • Online exams
    • Career coaching
    • Learn English for free

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    For over 20 years, IU has established partnerships with leading global companies. This offers you the chance to gain firsthand experience through internships and projects and allow us to adapt our learning content to the ever-evolving needs of the labour market. You'll benefit from an education designed to bridge the gap between theory and real-world practice, ensuring your readiness for your future career.

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    F.A.Q

    Frequently Asked Questions

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