Excel Masterclass: A-Z Data Analysis Statistics & Dashboard
Develop essential data science & ai skills with expert instruction and practical examples.
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About This Course
Unlock the power of data analysis with Excel in this comprehensive course designed to take you from novice to proficient data analyst. Whether you're new to Excel or looking to expand your skills, this course equips you with the essential tools and techniques to excel in data analysis. Throughout the course, you'll dive deep into data cleaning and formatting, learning how to remove duplicates, handle missing data, and manage outliers effectively.
You'll discover advanced sorting and filtering methods to extract valuable insights from complex datasets, and you'll master conditional formatting to visually highlight trends and anomalies. With a focus on practicality, you'll gain proficiency in essential Excel formulas and functions for calculations, date manipulation, and conditional operations. You'll also harness the power of lookup functions to quickly retrieve specific information, streamlining your analysis workflow.
Data visualization is a key component of effective analysis, and you'll learn to create a variety of graphs and charts in Excel to communicate insights with clarity. From bar charts to scatter plots, you'll explore different visualization techniques to enhance data interpretation and presentation. PivotTables and PivotCharts offer dynamic ways to summarize and analyze data, and you'll learn how to leverage these tools for advanced analysis and visualization.
Additionally, you'll delve into Excel's statistical analysis tools, performing tasks such as descriptive statistics, t-tests, correlation, and regression analysis. As you progress, you'll bring your newfound skills together to create dynamic dashboards in Excel, consolidating information into visually appealing and interactive formats for effective decision-making and reporting. You'll refine your dashboard with layout optimization and graphical elements, ensuring maximum impact and usability.
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