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Program overview
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Data Visualization and Analysis with Excel
Data Visualization and Analysis with Excel
Turn your spreadsheets into insights with Excel’s Data Visualization capabilities
Program Overview
Data visualization and analysis with Excel is a common and powerful way to explore and present data in a user-friendly manner. Excel offers a range of features and tools that allow you to analyze data, create charts, and present insights. It is a versatile tool for data visualization and analysis. It remains a valuable option for quick exploratory data analysis and straightforward visualizations.
Harness the Power of Microsoft Excel as a data analysis and visualization powerhouse with our comprehensive professional training course. In this hands-on program, your team will learn how to harness Excel's powerful features to transform raw data into insightful visualizations and make data-driven decisions confidently.
The Data Visualization and Analysis with Excel course is designed for professionals, analysts, managers, and anyone seeking to enhance their data handling and presentation skills. This course assumes a basic understanding of Excel functionalities and progresses to advanced data analysis and visualization techniques.
Personalised training curriculum
100% Live Sessions
Lifetime access to recordings and material
Hands-on labs and assignments included
Consulting Support
Delivered by industry experts
Why Data Visualization and Analysis with Excel for Your Business?
- Accessible and Widely Used: Excel is one of the most widely used software tools in the business world. This makes it a practical choice for data analysis and visualization without the need for specialized software or extensive training.
- Quick and Agile Analysis: Excel enables businesses to analyse quickly and agile data. It offers a range of built-in functions and tools for data manipulation, allowing users to clean, transform, and summarize data efficiently.
- Data-Driven Decision Making: With Excel's data analysis capabilities, businesses can base their decisions on accurate and well-organized data.
Make Your Team Proficient
Training Objectives
- Understand the fundamentals of data visualization and its importance in decision-making.
- Learn to clean, organize, and format raw data for effective analysis.
- Gain proficiency in Excel's built-in functions for descriptive statistics and data summarization.
- Create stunning and dynamic charts, graphs, and dashboards to communicate insights visually.
- Utilize PivotTables to analyze and extract valuable patterns from complex datasets.
- Apply conditional formatting to highlight key data points and trends.
- Master advanced data analysis tools, including Solver, Scenario Manager, and Data Analysis ToolPak.
- Implement trendlines and forecasting techniques to predict future outcomes.
- Understand the principles of data visualization best practices and design aesthetically pleasing charts.
- Effectively combine multiple data sources using Excel's data connection features.
- Enhance interactivity in your reports using filters, slicers, and dynamic data ranges.
Hands-on Experience with Tools
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Core Training Modules
- Introduction to Excel
- An overview of Microsoft Excel and its importance in data analysis and visualization.
- Excel Basics
- Understanding the Excel interface, navigating spreadsheets, and working with cells.
- Data Entry and Formatting
- Entering data, formatting cells, and applying styles for better visualization.
- Formulas and Functions
- Learning essential formulas and functions for data calculations and analysis.
- Charts and Graphs
- Creating various chart types to visualize data trends and patterns.
- PivotTables Fundamentals
- Analyzing and summarizing large datasets with PivotTables.
- Advanced PivotTable Techniques
- Advanced PivotTable features, including calculated fields and pivot charts.
- Conditional Formatting and Data Bars
- Applying formatting rules to highlight data patterns and outliers.
- Data Sorting and Filtering
- Sorting data and using filters to focus on specific information.
- Data Validation
- Ensuring data accuracy and consistency using validation rules.
- Data Consolidation
- Combining data from multiple sources into a single dataset.
- Data Connection and Query
- Connecting Excel to external data sources and using Power Query.
- Descriptive Statistics
- Calculating measures like mean, median, and standard deviation for data analysis.
- Data Analysis ToolPak
- Utilizing advanced analysis tools, such as regression and correlation.
- What-If Analysis
- Using Goal Seek and Scenario Manager for predictive analysis.
- Solver
- Solving optimization problems by adjusting variables based on constraints.
- Trendlines and Forecasting
- Adding trendlines to charts and forecasting future values.
- Sparklines
- Creating small, in-cell charts to show trends at a glance.
- Excel Tables
- Working with structured tables for data organization and dynamic ranges.
- Slicers
- Interactively filtering data in PivotTables and PivotCharts.
- Dashboards and Reports
- Building dynamic dashboards and reports for data visualization.
- Best Practices in Data Visualization
- Design principles for effective and visually appealing charts.
- Data Presentation and Storytelling
- Communicating insights through data-driven narratives.
- Data Cleaning and Transformation
- Techniques for preparing data for analysis.
- Data Exploration and Analysis
- Exploring datasets to identify trends and patterns.
- Data Visualization with Maps
- Creating interactive maps to display geographical data.
- External Data Connections
- Importing and updating data from external sources.
- Data Refresh and Automation
- Automating data updates and refreshing in Excel.
- Advanced Chart Customization
- Customizing charts with advanced formatting options.
- Advanced Excel Tips and Tricks
- Time-saving techniques to improve productivity in Excel, VBA and macros.
- Excel Add-Ins
- Exploring additional tools and functionalities through add-ins.
- Collaboration and Sharing
- Collaborating on Excel workbooks and sharing insights.
- Data Security and Protection
- Protecting sensitive data in Excel workbooks.
- Data-Driven Decision Making
- Applying data analysis to support business decisions.
- Real-world Case Studies
- Offer a few brief examples of practical business scenarios that are covered in this section
How does personalized training work?
01
Analyzing skill gap and assessing business requirements
02
Customising curriculum with core and additional modules to fit objectives
03
Supporting learning implementation with consulting
Who will benefit from this training?
- Business Analysts
- Data Analysts
- Data Scientists
- Project Managers
- Anyone Interested in Data Skills
Is this training right for your team?
Frequently Asked Questions- Answered!
1. What are the pre-requisites for this training?
2. Will my team get any practical experience with this training?
3. What is your mode of delivery - online or on-sight?
4. Will trainees get certified?
5. What do we do if we need further support after the training?
Upskill My Team
- Personalised training curriculum
- 100% Live Sessions
- Lifetime access to recordings and material
- Hands-on labs and assignments included
- Consulting Support
- Delivered by industry experts
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