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Business Data Analytics with Excel

via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

2 weeks, 6 hours a week
Sessions

Self-Paced
Level

Beginner
Subtitles

English

Found in

Overview

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Business Data Analytics with Excel introduces learners to the practical skills needed to organize, analyze, and interpret business data using Microsoft Excel. Through hands-on exercises and realistic business scenarios, learners develop the foundational analytical skills needed to transform raw data into meaningful insights that support informed decision-making. Throughout the course, learners practice organizing and preparing datasets, applying essential Excel formulas and functions, creating charts and visualizations, and using pivot tables to uncover trends and summarize information. They then apply these skills to real-world business scenarios across industries, including customer segmentation for marketing, healthcare trend analysis, retail inventory management, and financial forecasting and risk assessment, gaining experience solving the kinds of analytical challenges organizations face every day. By the end of the course, learners will be prepared to use Excel confidently to analyze business data, uncover actionable insights, and communicate findings that help organizations make smarter, data-driven decisions.

Syllabus

Data analysis with Excel

Excel is a practical tool for organizing information, spotting patterns, and turning raw data into useful summaries. In this module, you'll explore how to sort and filter data, use essential functions, create basic charts, apply conditional formatting, and build pivot tables to summarize larger datasets. Through hands-on practice, you'll learn how Excel can support everyday data analysis tasks and help you communicate information more clearly. As you practice with Excel, focus on the question you are trying to answer with the data. Choosing the right feature becomes easier when you know what decision or insight you need to support.

Applying data analytics in real-world scenarios

Data analytics helps organizations turn everyday information into meaningful insights that support better decisions. In this module, you'll explore how data is used to solve real-world business challenges across industries such as retail, healthcare, and finance. Through practical scenarios and hands-on activities, you'll practice interpreting data, identifying trends, and applying appropriate analytical techniques to address common workplace problems. Look for patterns across multiple pieces of information rather than relying on a single data point. Combining evidence from different sources often leads to stronger conclusions and better decisions.