Data Analysts Toolbox Practice Exam
Data Analysts Toolbox
Data Analysts Toolbox consists of tools such as Excel, Python, and Power BI.These tools are useful and strong. These tools help to perform complex data analysis. This Data Analysts Toolbox group is focused on halfway Excel users who are new to Python and Power BI.
Skills Required
• Structured Query Language
• Microsoft Excel.
• Decisive Thinking.
• R or Python–Statistical Programming.
• Data Visualization.
• Presentation Skills.
• AI.
Career Opportunity
• Data Analyst.
• Data Scientist.
• AI Engineer.
• Business Intelligence Analyst.
• Logistics Analyst.
• Data Architect.
• Business Systems Analyst.
• Showcasing Analyst.
Table of Contents
- Advanced Pivot Tables: Introduction
- Advanced Pivot Tables: Importing Data
- Advanced Pivot Tables: Preparing Data for Analysis
- Advanced Pivot Tables: Creating and Manipulating Pivot Tables
- Advanced Pivot Tables: Formatting a Pivot Table
- Advanced Pivot Tables: Value Field Settings
- Advanced Pivot Tables: Sorting and Filtering
- Advanced Pivot Tables: Interacting with a Pivot Table
- Advanced Pivot Tables: Calculations
- Advanced Pivot Tables: Pivot Charts
- Advanced Pivot Tables: Conditional Formatting
- Advanced Pivot Tables: Dashboards
- Advanced Pivot Tables: Summary
- Introduction to Power Pivot and Power Query
- Getting Started with Power Query
- Useful Power Query Features
- Creating a Data Model
- Data Analysis Expressions (DAX)
- Data Analysis Expressions (DAX) Measures
- Pivot Tables and Slicers
- Introduction to Power BI
- Power BI: Getting and Transforming Data
- Power BI: Data Modelling
- Introduction to Data Analysis Expressions (DAX) Measures
- Power BI: Report Design
- Power BI: Editing Interactions and Filters
- Power BI Service
- Python: The Workplace Tech Divide
- Introduction to Python
- Basic Data Types
- Python Built-in Functions
- Variables and Functions
- Errors and Debugging
- Python Keywords
- If-Else Statements
- Storing Complex Data
- Python Modules
- Installing Python and Modules
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