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Program overview
Online
On-site
Hybrid
Data Visualization and Analysis with Excel
Build a strong foundation in data analysis and visualization using Microsoft Excel to support effective decision making. Learn how to clean and analyze data, create dynamic dashboards, apply advanced analytical tools, and communicate insights through impactful visualizations.
Duration:
5 Days
Level:
Advanced
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1500+ users onboarded
Who will Benefit from this Training?
Training Objectives
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
- Excel Foundations
- Apply excel foundations in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Data Entry and Formatting
- Apply data entry and formatting in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Formulas and Functions
- Apply formulas and functions in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Charts and Graphs
- Apply charts and graphs in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- PivotTables
- Apply pivottables in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Sorting, Filtering, and Validation
- Apply sorting, filtering, and validation in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Data Connections and Cleaning
- Apply data connections and cleaning in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Analysis ToolPak and What-If
- Apply analysis toolpak and what-if in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Forecasting and Sparklines
- Apply forecasting and sparklines in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Tables, Slicers, and Dashboards
- Apply tables, slicers, and dashboards in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Collaboration, Security, and Automation
- Apply collaboration, security, and automation in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Case Studies and Decision Making
- Apply case studies and decision making in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
Hands-on Experience with Tools
Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
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Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
2
Implementation
Supplementing training with consulting support to ensure implementation in real projects
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Why this course
- 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.
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.
Who will benefit
- Business Analysts
- Data Analysts
- Data Scientists
- Project Managers
- Anyone Interested in Data Skills
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.