This course focuses on using Microsoft Excel as a tool for data analytics. It covers the basic functions of Excel, including data management, descriptive statistics, data visualization, conditional formatting, and advanced functions. The course also covers regression analysis, trend analysis, and forecasting, as well as macro recording for automation purposes. By the end of the course, participants will have a comprehensive understanding of how to use Excel to analyze and visualize data, 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.

Course Outline:

Introduction to Microsoft Excel
• Overview of Excel and its features
• Understanding the Excel Worksheet and its components
• Navigating the Excel Interface, including the ribbon and quick access toolbar

Data Management
• Organizing Data in Tables, including creating and formatting tables
• Filtering and Sorting Data, including sorting by multiple columns and custom sort orders
• Removing Duplicates, including using the "Remove Duplicates" feature and conditional formatting

Descriptive Statistics
• Basic Mathematical Functions, including SUM, AVERAGE, MAX, MIN, and COUNT
• Summary Statistics, including measures of central tendency, variability, and skewness
• Pivot Tables, including creating pivot tables, adding and removing fields, and using pivot charts

Data Visualization
• Creating Charts, including column, bar, line, scatter, and pie charts
• Customizing Charts, including adding titles, labels, and data markers, and changing colors
• Best Practices for Data Visualization, including effective use of visual elements and choosing the appropriate chart type

Conditional Formatting
• Highlighting Cell Rules, including creating and modifying rules for font color, cell color, and data bars
• Top/Bottom Rules, including highlighting the top or bottom N items based on value
• Data Bars, Color Scales, and Icon Sets, including creating and customizing these formatting options

Data Analysis
• Regression Analysis, including linear and multiple regression models
• Trend Analysis, including trend lines and seasonality
• Forecasting, including using exponential smoothing and regression analysis

Advanced Functions
• Lookup Functions, including VLOOKUP, HLOOKUP, and INDEX/MATCH
• Text Functions, including CONCATENATE, LEFT, RIGHT, and MID
• Date and Time Functions, including NOW, TODAY, and DATEDIF

Macro Recording
• Overview of Macro Recording, including understanding the macro security settings
• Creating Simple Macros, including recording and running macros, and editing the macro code
• Automating Tasks with Macros, including recording macros for repetitive tasks and using macros to manipulate data

Conclusion
• Summary of Key Concepts, including a review of the course content
• Applications of Excel in Data Analytics, including real-world examples
• Resources for Further Learning, including online resources and books for further exploration.

The course may be delivered in a variety of formats, including in-person classes, online courses, or through a combination of both.

This website coding course is designed to teach students the fundamentals of building and maintaining websites using modern website coding technologies.

Students will learn the basics of HTML, CSS, and JavaScript, and how to use them to create responsive, dynamic, and interactive web pages. Additionally, students will learn how to use popular CSS and HTML frameworks such as bootstrap, HTML5 BoilerPlate, etc. to rapidly code good and responsive websites.

The course will also cover topics such as web design best practices, web accessibility, and web performance optimization.

Students will have the opportunity to work on projects throughout the course and will develop a full-featured, responsive website by the end of the course.