RITx: Data Processing and Analysis with Excel

RITx: Data Processing and Analysis with Excel

by Rochester Institute of Technology

Data Analysis with Microsoft Excel

An intermediate-level course offered by RITx

Course Description

Welcome to "Data Analysis with Microsoft Excel," an intermediate-level course offered by RITx. This comprehensive course is designed to equip you with the essential skills needed to harness the power of Microsoft Excel for advanced data analysis. Whether you're a business professional, researcher, or aspiring data analyst, this course will provide you with the tools and techniques to transform raw data into meaningful insights.

What students will learn from the course

In this robust Excel course, you'll gain a solid foundation in using advanced Excel functions and features to organize, analyze, and visualize complex datasets. By the end of the course, you'll be able to:

  • Perform basic data organization techniques
  • Clean and prepare data for analysis
  • Develop comprehensive data analysis plans
  • Apply various analysis methods and tools
  • Create and interpret a variety of chart types, including scatter plots and pie charts
  • Utilize advanced Excel functions such as pivot tables and VLOOKUP
  • Conduct exploratory data analysis
  • Evaluate and interpret results
  • Compare findings with other data sources
  • Use Excel add-ins to enhance your data analysis capabilities

Pre-requisites or skills necessary to complete the course

While this course is designed for intermediate-level Excel users, proficiency in Microsoft Excel is recommended. Familiarity with basic Excel functions and navigation will help you make the most of the advanced techniques covered in this course.

What the course will cover

  • Data organization techniques
  • Data cleaning and preparation
  • Identifying outliers and anomalies
  • Changing data types
  • Developing data analysis plans
  • Exploratory data analysis
  • Advanced Excel functions (pivot tables, VLOOKUP)
  • Chart creation and interpretation
  • Descriptive statistics
  • Excel add-ins for enhanced analysis
  • Evaluation and comparison of results

Who this course is for

This course is ideal for:

  • Business professionals seeking to improve their data analysis skills
  • Researchers looking to streamline their data processing and analysis
  • Students pursuing careers in data analysis or business intelligence
  • Anyone who works with data and wants to leverage Excel's full potential

How learners can use these skills in the real world

The skills acquired in this course have numerous real-world applications:

  • Business decision-making: Use data analysis to inform strategic choices and optimize operations
  • Financial modeling: Create robust financial models and forecasts
  • Market research: Analyze consumer trends and preferences
  • Academic research: Process and analyze research data more efficiently
  • Project management: Track and analyze project metrics for better outcomes
  • Sales and marketing: Analyze campaign performance and customer behavior
  • Human resources: Analyze employee data for better workforce management
  • Supply chain optimization: Identify inefficiencies and improve logistics

By mastering these Excel skills, you'll be well-equipped to tackle complex data challenges across various industries and domains, making you a valuable asset to any organization.

Note: All course activities are designed and demonstrated using Windows OS and Microsoft Excel 2016.

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