Analyzing Data with Excel

25 Hours

Beginner

8 Modules

LE 4,499.00
LE 7,000.00
LE 4,499.00
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Analyzing Data with Excel is a specialized course that enables learners to leverage Excel’s powerful tools for in-depth data analysis and business intelligence. It focuses on transforming raw data into actionable insights, allowing professionals to make data-driven decisions effectively. Key Focus Areas: Data Analysis Fundamentals: Introduction to data structuring, data cleaning, and effective data organization techniques to set a solid foundation for analysis. Advanced Data Visualization: Skills in crafting clear, impactful visual representations using charts, sparklines, and conditional formatting to highlight trends and patterns. PivotTables and PivotCharts: Mastering PivotTables and PivotCharts to summarize large datasets, filter information, and dynamically analyze data subsets. Statistical Analysis: Applying descriptive statistics, including means, medians, standard deviation, and regression analysis, to interpret data distributions and correlations. What-If Analysis: Using tools like Goal Seek, Scenario Manager, and Data Tables to model and forecast potential outcomes, aiding in strategic planning. Power Query and Power Pivot: Utilizing Power Query for data transformation and Power Pivot for advanced data modeling capabilities, enabling connections across multiple data sources. This course is essential for business professionals, analysts, and managers seeking to advance their data interpretation skills and deliver data-driven insights in their roles.
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Vendor: Cloud Learning Academy
Categories: Excel,
Product Type: Excel Courses
    • Course Outline
    • What you will learn
    • Audience profile
    This module introduces the fundamentals of classic Excel dashboards and explores methods for expanding their capabilities. Lessons Include: Classic Data Analysis Techniques Working with Excel Pivot Tables Limitations of Traditional Excel Data Analysis Upon completion, students will be able to: Understand classic Excel data analysis techniques Use and explain pivot tables Recognize limitations in traditional Excel analysis
    Explore Excel’s data model and ways to extend it. Lessons Include: Building and Using an Excel Data Model Introduction to DAX (Data Analysis Expressions) Upon completion, students will be able to: Explain the Excel data model and view data tables Describe DAX and its application in Excel
    Focuses on formatting and importing CSV and other file types into Excel. Lessons Include: Importing Data into Excel Shaping and Transforming Data Data Loading Techniques Upon completion, students will be able to: Import, shape, and load data into Excel
    Learn to import SQL Server data into Excel, including table relationships. Lessons Include: Identifying Data Sources Data Shaping and Transformation Building Table Relationships Upon completion, students will be able to: Identify data sources and import data Define table relationships and hierarchies
    Guidance on transforming report data in Excel. Lessons Include: Importing and Transforming Report Data Upon completion, students will be able to: Import and modify Excel report data
    Dive into DAX and creating measures in Excel. Lessons Include: Advanced DAX Functions Upon completion, students will be able to: Explain DAX and use advanced functions
    Techniques for data visualization using pivot charts and cube functions. Lessons Include: Pivot Charts Cube Functions and Chart Integration Upon completion, students will be able to: Create pivot charts and utilize cube functions
    Leverage Power BI alongside Excel for expanded analysis and sharing. Lessons Include: Power BI Basics Uploading Data to Power BI Power BI Mobile App Overview Upon completion, students will be able to: Upload Excel data to Power BI and utilize the Power BI app
    After completing this course, students will be able to: Explore and extend a classic Excel dashboard. Explore and extend an Excel data model. Pre-format and import a .CSV file. Import data from a SQL Server database Import data from a report. Create measures using advanced DAX functions. Create data visualizations in Excel. Create a Power BI dashboard with Excel.
    This course is for anyone who has an interest in data analytics or data science and how it can be used to improve business decision making. The content in this course can be applied to a range of industry sectors including health, sport, marketing, finance and more.

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