What They Say...
Neel, A-Level, QE Boys
Shrey, Economics Undergraduate, Cambridge
Shrey, Economics Undergraduate, Cambridge
Thanks a lot for the preparation and time that you have spent throughout the course, it was incredibly helpful for me to learn new topics and understand how topics I have already learnt come in handy in Excel. As for the teaching clarity, I think that it was excellent, and I understood everything that was given to me even if it needed some further explanation. I think an improvement to the course could be the pace of each lesson: the lessons could be shorter and denser. The structure was effective and it was all quite high quality as to what I expected.
Shrey, Economics Undergraduate, Cambridge
Shrey, Economics Undergraduate, Cambridge
Shrey, Economics Undergraduate, Cambridge
I think the course was great, touched on a lot of excellent features and I found excel quite logical in a way which is similar to coding. I think my mind works fast so it’s not a specific criticism (I watch YouTube videos at 2x speed and find my lectures at Cambridge too slow) so I could’ve moved faster maybe but I get there’s other students that need to understand too. But the depth again was truly a lot, and I think more than anything now I know what excel can do, and I can refresh my understanding at any point if anything needs to be done in the future, eg accounting, modelling, etc. So overall great experience, super clear and in depth. Worth the investment for sure.
Shardul, A-Level, QE Boys
Shrey, Economics Undergraduate, Cambridge
Shardul, A-Level, QE Boys
I think the content was of good quality and depth because a variety of skills were covered to give an overview for Excel modelling. The real-world examples shown throughout made it very practical, the pace was slow enough to ensure no one was behind. I learnt a lot about different parts of Excel. Real-world examples introduced me to what more complex modelling could look like. I feel that my confidence with Excel has improved immensely so I would highly recommend this course.
The Excel Data Analysis & Business Modelling
Who is this course for?
This three-week internship program is designed for students and recent graduates eager to develop practical skills in Excel-based business modeling, data analysis, and financial modeling. Participants will gain hands-on experience solving real-world business problems, mastering advanced Excel techniques, and building financial models to analyze and present data effectively.
Who Should Attend:
- Students or graduates pursuing careers in finance, business analytics, or consulting.
- Individuals seeking to enhance their Excel and data analysis skills for professional growth.
- Anyone interested in learning financial modeling and decision-making frameworks.
This program offers a perfect opportunity to build essential analytical skills and stand out in today’s competitive job market.
Why US:
Unlike many regular internship programs where participants don’t pay but often end up doing repetitive tasks with little hands-on learning, our Data Analysis & Business Modeling internship is designed to provide real, practical experience. By charging a fee, we ensure that every participant receives personalized attention, advanced skills in Excel and financial modeling, and the opportunity to work on real-world business problems—giving them a competitive edge in the job market. You’re not just getting an internship, you’re investing in career advancement.
Our program also offers additional advanced training (if requested) in areas like VBA, risk analysis, and decision-making, which are not typically covered in free internships. The skills gained here will directly contribute to your professional growth, making the investment worthwhile.
We are offering this opportunity to only 10 participants due to limited space. Only 6 spots left now.
Learning objectives?
In this course, you’ll not only master strong fundamental and advance Excel modelling skills but also gain a solid understanding of essential mathematical concepts, all in an engaging and accessible way. You'll explore topics such as statistics, forecasting, optimization models, Monte Carlo simulation, inventory management, and the mathematics behind queuing theory. Additionally, you'll dive into contemporary business strategies, including real options, customer value, and advanced pricing models, equipping you with the tools to apply these concepts in real-world scenarios.
Module 1 :
- Range Names
- Lookup Functions
- The INDEX Function
- The MATCH Function
- Text Functions
- Dates and Date Functions
- Evaluating Investments by Using Net Present Value Criteria
- Internal Rate of Return
- More Excel Financial Functions
- Circular References
- IF Statements
- Time and Time Functions
- The Paste Special Command
Module 2:
- The Auditing Tool
- Sensitivity Analysis with Data Tables
- The Goal Seek Command
- Using the Scenario Manager for Sensitivity Analysis
- The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK Functions
- The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS Functions
- The OFFSET Function
- The INDIRECT Function
- Conditional Formatting
- Sorting in Excel
- Tables
- Spin Buttons, Scroll Bars, Option Buttons, Check Boxes, Combo Boxes, and Group List Boxes
Module 3:
- An Introduction to Optimization with Excel Solver
- Using Solver to Determine the Optimal Product Mix
- Using Solver to Schedule Your Workforce
- Using Solver for Capital Budgeting
- Importing Data from a Text File or Document
- Importing Data from the Internet
- Validating Data
- Summarizing Data by Using Histograms
- Summarizing Data by Using Descriptive Statistics
- Using PivotTables and Slicers to Describe Data
- Sparklines
- Summarizing Data with Database Statistical Functions
- Filtering Data and Removing Duplicates
- Consolidating Data, creating Subtotals
- Estimating Straight Line Relationships
- Modelling Exponential Growth
Module 4:
- The Power Curve
- Using Correlations to Summarize Relationships
- Introduction to Multiple Regression
- Using Moving Averages to Understand Time Series
- Winters’s Method
- Ratio-to-Moving-Average Forecast Method
- Forecasting in the Presence of Special Events
- An Introduction to Random Variables
- The Normal Random Variable
- Making Probability Statements from Forecasts
- Using the Lognormal Random Variable to Model Stock Prices
Module 5:
- Introduction to Monte Carlo Simulation
- Calculating an Optimal Bid
- Simulating Stock Prices and Asset Allocation Modeling
- Pricing Stock Options
- Determining Customer Value
- The Economic Order Quantity Inventory Model
- Inventory Modeling with Uncertain Demand
- Queuing Theory: The Mathematics of Waiting in Line
- Estimating a Demand Curve
- Pricing Products by Using Subjectively Determined Demand
- Nonlinear Pricing
- Array Formulas and Functions
- PowerPivot
Module 6: Corporate exposure
- Developing a cash flow model in Excel for an energy project from the ground up
- Opportunity to work on real-world financial models for energy projects
- Opportunity to listen in to the investment decision discussions
Venue and Dates?
This approximately three-week course (4 hours everyday) commences on around 3rd Aug - 22nd Aug. Participants can attend either in person or online, providing flexibility to accommodate individual preferences. With only 10 seats available, the program ensures a highly interactive and personalized learning experience.