The Excel Data Analysis & Business Modelling
Who is this course for?
This three-week internship program is tailored 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 through a comprehensive data analysis course 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 financial 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 chance 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 Excel training 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 data analysis course, you’ll not only master strong fundamental and advanced Excel modeling skills through our Excel training program, 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, which is invaluable for anyone pursuing a financial modeling internship.
Module 1 :
Range Names in Excel are essential for effective data analysis during a data analysis course. Lookup Functions, such as the INDEX Function and the MATCH Function, are crucial tools that participants in our Excel training program can master. Additionally, Text Functions and Dates along with their related functions are invaluable for financial modeling internships. Understanding how to evaluate investments using Net Present Value criteria and calculating the Internal Rate of Return are also key components. We cover more Excel financial functions, including handling Circular References and crafting IF Statements. Lastly, mastering Time and Time Functions, as well as the Paste Special Command, will enhance your skill set significantly.
Module 2:
The Auditing Tool is an essential part of any data analysis course, helping users to perform sensitivity analysis with data tables effectively. The Goal Seek Command is another valuable feature included in our Excel training program, which allows users to find the right input when working with complex financial models. Additionally, using the Scenario Manager for sensitivity analysis enhances decision-making skills in various scenarios. Understanding functions such as COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK is crucial for accurate data evaluation in a financial modeling internship context. Similarly, mastering the SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions can significantly improve data manipulation capabilities. Other important functions include the OFFSET and INDIRECT functions, which are vital for dynamic data referencing. Conditional Formatting is also a key tool for visual data analysis, while sorting in Excel helps organize data efficiently. Moreover, learning how to work with tables is essential in any comprehensive Excel training program. Lastly, incorporating interactive elements like Spin Buttons, Scroll Bars, Option Buttons, Check Boxes, Combo Boxes, and Group List Boxes can enhance user experience and data input processes.
Module 3:
An Introduction to Optimization with Excel Solver in a data analysis course can greatly enhance your skills. Learn how to use Solver to determine the optimal product mix, schedule your workforce efficiently, and apply it for capital budgeting. You will also explore importing data from a text file or document as well as from the Internet. Validating data is crucial, and you'll learn how to summarize data using histograms and descriptive statistics. Additionally, using PivotTables and Slicers to describe data effectively, alongside incorporating Sparklines, will be covered. Summarizing data with database statistical functions, filtering data, and removing duplicates are essential skills. The course will also teach you how to consolidate data and create subtotals, estimate straight line relationships, and model exponential growth, all of which are valuable skills for anyone pursuing a financial modeling internship. This Excel training program will ensure you are well-equipped for practical data analysis.
Module 4:
The Power Curve in data analysis course focuses on using correlations to summarize relationships effectively. As part of our Excel training program, we introduce multiple regression techniques, along with methods like moving averages to understand time series data. Additionally, we cover Winters’s Method and the Ratio-to-Moving-Average Forecast Method. Special attention is given to forecasting in the presence of special events. Participants will also gain insights into random variables, including the normal random variable, and learn how to make probability statements from forecasts. Lastly, we discuss using the lognormal random variable to model stock prices, providing a solid foundation for those interested in a financial modeling internship.
Module 5:
Introduction to Monte Carlo Simulation in a data analysis course offers a comprehensive look at calculating an optimal bid. In the context of an Excel training program, students can learn to simulate stock prices and asset allocation modeling effectively. This includes pricing stock options and determining customer value. Additionally, the economic order quantity inventory model is essential for inventory modeling with uncertain demand. Understanding queuing theory, or the mathematics of waiting in line, is also crucial. Estimating a demand curve and pricing products by using subjectively determined demand are key components of financial modeling internships. Nonlinear pricing, along with array formulas and functions, can be mastered through advanced Excel techniques, such as PowerPivot.
Module 6: Corporate exposure
Developing a cash flow model in Excel for an energy project from the ground up is a key part of our financial modeling internship. This experience provides an opportunity to work on real-world financial models for energy projects and enhances your skills through an Excel training program. Additionally, you will have the chance to listen in on the investment decision discussions, further enriching your understanding of data analysis.
Venue and Dates?
This approximately three-week data analysis course, featuring 4 hours of training every day, commences around 3rd Aug - 22nd Aug. Participants can choose to attend either in person or online, providing the flexibility to accommodate individual preferences. With only 10 seats available in this Excel training program, the initiative ensures a highly interactive and personalized learning experience, making it a perfect opportunity for those considering a financial modeling internship.
FEES
£ 833
For more information on our data analysis course, or to inquire about our Excel training program and financial modeling internship, please email us at info@geoenergetix.com.
What They Say...
Neel, A-Level, QE Boys
Shrey, Economics Undergraduate, Cambridge
Shrey, Economics Undergraduate, Cambridge
Thank you very much for the preparation and time you dedicated throughout the data analysis course. It was incredibly helpful for me to learn new topics and see how the concepts I had already learned are applicable in Excel. Regarding the clarity of the teaching, I believe it was excellent; I understood everything presented, even if some points needed further explanation. One suggestion for improvement could be the pace of each lesson in the Excel training program; the lessons might benefit from being shorter and denser. Overall, the structure was effective, and the quality exceeded my expectations, especially in relation to my financial modeling internship.
Shrey, Economics Undergraduate, Cambridge
Shrey, Economics Undergraduate, Cambridge
Shrey, Economics Undergraduate, Cambridge
I think the data analysis course was great; it touched on a lot of excellent features, and I found that Excel was quite logical in a way similar to coding. My mind works fast, so it’s not a specific criticism (I often watch YouTube videos at 2x speed and find my lectures at Cambridge too slow). I could’ve moved faster through the Excel training program, but I understand that there are other students who need to grasp the material as well. The depth of the course was substantial, and more than anything, I now know what Excel can do. I can refresh my understanding at any point if I need to tackle tasks in the future, such as accounting or financial modeling during my internship. Overall, it was a great experience—super clear and in-depth. Definitely worth the investment.
Shardul, A-Level, QE Boys
Shrey, Economics Undergraduate, Cambridge
Shardul, A-Level, QE Boys
I believe the content provided in this data analysis course was of excellent quality and depth, as it covered a variety of skills necessary for Excel modeling. The practical real-world examples showcased throughout the Excel training program made the learning experience very applicable, and the pace was slow enough to ensure that no one fell behind. I gained significant insights into different aspects of Excel, and the real-world examples introduced me to what more complex modeling could entail. I feel that my confidence with Excel has improved immensely, so I would highly recommend this course, especially for anyone considering a financial modeling internship.