This course focuses on using Microsoft Excel as a tool for data analytics. It is designed to teach students how to use Excel to analyze, manipulate, and visualize data in order to make informed business decisions.
This course will cover advanced Excel skills and techniques that are specifically relevant to data analytics, such as importing and cleaning data, using advanced formulas and functions, data visualization, conditional formatting, and advanced functions, creating PivotTables and PivotCharts, and using Excel's advanced charting and graphing tools to create compelling and effective data visualizations.
In addition, this course may cover more advanced data analysis techniques in Excel, such as regression analysis, forecasting, and Monte Carlo simulation, as well as how to use Excel's Power Query and Power Pivot tools to analyze and manipulate large and complex datasets.
Microsoft Excel Fundamentals for Data Analytics will cover the following topics:
- Introduction to Excel: This section will cover the basics of Excel, including how to open, save, and close workbooks, how to navigate the Excel interface, and how to use different views in Excel.
- Data Entry and Formatting: This section will cover how to enter data into Excel, format data, and apply basic formatting such as font styles, colors, and sizes. It will also cover how to use cell references and formulas.
- Functions and Formulas: This section will cover the use of formulas and functions in Excel, including basic arithmetic functions such as SUM, AVERAGE, and MAX, as well as more advanced functions such as IF, VLOOKUP, and INDEX.
- Data Analysis: This section will cover how to analyze data in Excel, including sorting and filtering data, creating pivot tables, and using charts and graphs to visualize data.
- Data Visualization: This section will cover how to create effective data visualizations in Excel, including formatting charts and graphs, using color effectively, and selecting the right type of chart or graph for your data.
- Macros and Automation: This section will cover how to automate tasks in Excel using macros and how to create custom functions using VBA (Visual Basic for Applications).
By the end of the course, participants will have a comprehensive understanding of how to use Excel to analyze and visualize data, use Excel as a tool for data analytics, including performing data cleaning, data analysis, and data visualization tasks as well as how to use macros to streamline tasks. The course is suitable for individuals who want to develop their data analytics skills and gain proficiency in Microsoft Excel.
Students should also be comfortable using advanced Excel functions and tools to handle complex data analytics tasks, and be able to effectively communicate data insights to stakeholders using Excel's advanced charting and graphing features.
Overall, this course will provide you with the skills you need to use Excel effectively for data analysis and visualization. By the end of this course, you should be comfortable with basic data entry and formatting, using formulas and functions, analyzing and visualizing data, and automating tasks in Excel.
The course may be delivered in a variety of formats, including in-person classes, online courses, or through a combination of both.