Overview
In this Excel for Data Analysis course, you’ll learn the essential skills for working with data, from basic handling to advanced techniques such as data cleaning, aggregation, and analysis. You’ll master functions for navigating data, applying conditional operations, and performing analysis with PivotTables and visualizations. The course also covers Exploratory Data Analysis (EDA), helping you identify trends and patterns through univariate, bivariate, and multivariate analyses. The guided projects will help you develop the expertise to clean, process, and analyze complex datasets, empowering you to make data-driven decisions and generate actionable insights that drive business success. After you finish this Data Analysis with Excel course, you'll be proficient in data analysis, cleaning, and visualization, with the ability to uncover actionable insights from real-world data, valuable in roles such as data analysis, business intelligence, and operations optimization.
Syllabus
- Introduction to Data Analytics
- Basics of data analytics, SQL, and Excel, including their roles in analytics
- Fundamentals of Excel in Data Analytics
- Subqueries, window functions, and advanced aggregations
- Data Handling and Analysis in Excel
- Excel functions, conditional operations, and data manipulation
- Data Cleaning, Analysis, and Visualization in Excel
- Data Cleaning, Analysis, and Visualization in Excel
- Exploratory Data Analysis (EDA)
- Conducting univariate, bivariate, and multivariate analysis using Excel
- Guided Excel Project 1 : E-Commerce
- E-Commerce Project : Functional requirements and step-by-step guide
- Guided Excel Project 2 : Aviation Sector Analysis using Excel
- Aviation Sector Analysis Project : Functional requirements and step-by-step guide
- Mock Interview - Excel Specialist
- 1 Personalised Mock Interview to help you land an Excel specialist role
Taught by
Denver Dias and Gaelim Holland