Excel for Data Analysis
Unlock the Power of Excel in Your Business
Why This Training?
Excel isn't just a spreadsheet tool; it's a business powerhouse. With data-driven decisions becoming imperative, understanding Excel's capabilities in data analysis is crucial. Equip yourself with the expertise to make the most of Excel's vast potential.
Duration: 15 Hours (online / virtual live session)
Who Is This For?
Business professionals, analysts, students, and anyone keen on harnessing Excel for robust data analysis and insightful decision-making.
What Will You Master?
The Evolution of Excel: Dive deep into the history and transformative power of Excel in the modern business landscape.
Excel Basics Demystified: Navigate the Excel interface with confidence. Master data entry, formatting, and basic formulas. Learn essential text functions to streamline and clean your data.
Excel Basics Demystified: Navigate the Excel interface with confidence. Master data entry, formatting, and basic formulas. Learn essential text functions to streamline and clean your data.
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Summarize Large Datasets with PivotTables: Discover the magic of PivotTables in organizing, analyzing, and summarizing your data. Customize calculated fields and make your data tell a compelling story.
Breathtaking Data Visualizations: From basic charts to advanced visual representations, learn to create impactful graphics that elucidate your data's narrative.
Breathtaking Data Visualizations: From basic charts to advanced visual representations, learn to create impactful graphics that elucidate your data's narrative.
Supercharge Your Analysis with Advanced Functions: Unravel the potential of lookup and logical functions. Work with date and time functions seamlessly. Also, get introduced to Excel's Data Analysis Toolpak for specialized statistical analysis.
Training Highlights
Practical Demonstrations: Watch Excel come to life with real-world demonstrations, showcasing the tool's capabilities.
Hands-on Exercises: Engage with actual datasets, allowing you to apply what you learn instantly.
Comprehensive Materials: Receive handouts detailing essential formulas, shortcuts, and best practices, ensuring you have a quick reference guide post-training.
Hands-on Exercises: Engage with actual datasets, allowing you to apply what you learn instantly.
Comprehensive Materials: Receive handouts detailing essential formulas, shortcuts, and best practices, ensuring you have a quick reference guide post-training.
Materials Required by Participants
Computer
Equipped with a recent version of Excel for hands-on exercises.
Training Datasets
We'll provide datasets for practice, helping you cement your learning.
Handouts
Essential formulas, shortcuts, and best practices will be shared.
Installation
If attending online, ensure you have Excel installed and functioning for a seamless experience.
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Training Content
Excel for Data Analysis
1. Introduction: The Power of Excel in Data Analysis
Objective: Emphasize the versatility and importance of Excel in the business world.
- Brief history and evolution of Excel.
- Overview of Excel's capabilities in data analysis.
2. Basic Excel Functions
Objective: Familiarize participants with foundational Excel functions for data analysis.
2.1. Introduction to the Excel Interface
- Workbook, worksheets, cells, rows, and columns.
- Toolbars and key icons.
2.2. Data Entry and Basic Formatting
- Inputting data, cell referencing.
- Formatting cells, tables, and data types.
2.3. Basic Formulas
- Arithmetic operations: SUM, AVERAGE, COUNT, etc.
- Relative and absolute cell referencing.
2.4. Text Functions
- CONCATENATE, LEFT, RIGHT, UPPER, LOWER, etc.
- Use cases in data cleaning.
3. Pivot Tables
Objective: Teach participants how to summarize and analyze large datasets with PivotTables.
3.1. Basics of PivotTables
3.1. Basics of PivotTables
- What is a PivotTable? Why use it?
- Creating and formatting a PivotTable.
3.2. Grouping and Sorting Data
- Organizing data by categories or dates.
- Applying filters and slicers.
3.3. Calculated Fields and Items
- Custom calculations within PivotTables.
- Examples: Calculating growth percentages, averages, etc.
4. Data Visualization in Excel
Objective: Showcase Excel's capabilities in visually representing data.
4.1. Basic Chart Types
4.1. Basic Chart Types
- Bar, column, line, and pie charts.
- Choosing the right chart type for your data.
4.2. Advanced Charts
- Scatter plots, histograms, waterfall charts.
- Combo charts for representing multiple data series.
4.3. Chart Customization
- Titles, legends, axes, data labels.
- Themes, colors, and style customization.
5. Advanced Excel Functions for Data Analysis
Objective: Dive deeper into specialized functions for data analysis.
5.1. Lookup Functions
5.1. Lookup Functions
- VLOOKUP, HLOOKUP, INDEX, and MATCH.
- Real-world scenarios: Matching datasets, filling missing values.
5.2. Logical Functions
- IF, AND, OR, NOT.
- Nested IF statements for complex conditions.
5.3. Date and Time Functions
- TODAY, NOW, DATE, YEAR, MONTH, etc.
- Calculating time intervals, aggregating by date.
5.4. Data Analysis Toolpak
- Introduction to the add-in.
- Features: Regression, Histogram, Descriptive Statistics, etc.
6. Conclusion & Q&A Session
Objective: Recap the session's content and address participants' questions.
- Emphasize the power and flexibility of Excel in data analysis.
- Address queries, encourage discussions, and provide further resources for advanced learning.
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Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK. He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. He has a background in the design and development of advanced control systems for business and safety-critical industrial applications.
Hessami represents the UK on the European Committee for Electrotechnical Standardization (CENELEC) & International Electrotechnical Commission (IEC) – safety systems, hardware & software standards committees. He was appointed by CENELEC as convener of several Working Groups for review of EN50128 Safety-Critical Software Standard and update and restructuring of the software, hardware, and system safety standards in CENELEC.
Ali is also a member of Cyber Security Standardisation SGA16, SG24, and WG26 Groups and started and chairs the IEEE Special Interest Group in Humanitarian Technologies and the Systems Council Chapters in the UK and Ireland Section. In 2017 Ali joined the IEEE Standards Association (SA), initially as a committee member for the new landmark IEEE 7000 standard focused on “Addressing Ethical Concerns in System Design.” He was subsequently appointed as the Technical Editor and later the Chair of P7000 working group. In November 2018, he was appointed as the VC and Process Architect of the IEEE’s global Ethics Certification Programme for Autonomous & Intelligent Systems (ECPAIS).
Trish advises and trains organisations internationally on Responsible AI (AI/data ethics, policy, governance), and Corporate Digital Responsibility.
Patricia has 20 years’ experience as a lawyer in data, technology and regulatory/government affairs and is a registered Solicitor in England and Wales, and the Republic of Ireland. She has authored and edited several works on law and regulation, policy, ethics, and AI.
She is an expert advisor on the Ethics Committee to the UK’s Digital Catapult Machine Intelligence Garage working with AI startups, is a Maestro (a title only given to 3 people in the world) and expert advisor “Maestro” on the IEEE’s CertifAIEd (previously known as ECPAIS) ethical certification panel, sits on IEEE’s P7003 (algorithmic bias)/P2247.4 (adaptive instructional systems)/P7010.1 (AI and ESG/UN SDGS) standards programmes, is a ForHumanity Fellow working on Independent Audit of AI Systems, is Chair of the Society for Computers and Law, and is a non-exec director on the Board of iTechlaw and on the Board of Women Leading in AI. Until 2021, Patricia was on the RSA’s online harms advisory panel, whose work contributed to the UK’s Online Safety Bill.
Trish is also a linguist and speaks fluently English, French, and German.
In 2021, Patricia was listed on the 100 Brilliant Women in AI Ethics™ and named on Computer Weekly’s longlist as one of the Most Influential Women in UK Technology in 2021.
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