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Overview
This course will provide you with a condensed, non-technical (but very practical) introduction to key concepts and techniques of financial (statement) analysis.
You will be taken through classical methods, ratios and measures, and later combine those with forecasting techniques, newer data and analytics capabilities.
This course will also reflect and show-case best cases from industry, how financial analysis and (data) analytics in particular can build ground for:
data-centric management decisions
making product value chains more efficient
Making products smarter
helping to make customer responses more personalized.
By taking this course, you will gain the foundational knowledge, confidence and awareness of how to use financial analysis and what (data) analytics could add to the overall financial analysis equation, having the potential to enhance the top and bottom line of an enterprises’ modus operandi.
Dates, Times and Delivery
The Financial Analysis and Analytics (online) course runs over two weeks, from 29 April- 10 May 2024, with online sessions delivered via Microsoft Teams.
There will be a combination of virtual presentations, interactive group work/discussions and hands-on application exercises.
Sessions will be held on Mondaysand Fridaysfrom19:00-20:30(UK time) on:
Monday 29 April
Friday 3 May
Monday 6 May
Friday 10 May
A world clock, and time zone converter can be found here: https://bit.ly/3bSPu6D
This is a ‘virtual classroom’ course.
To replicate the experience of a classroom, the sessions are ‘live’ and are not recorded.
No in-person attendance at Oxford is required and you do not need to purchase any software.
Accessing Your Online Course
Details about accessing the private MS Teams course site will be emailed to you during the week prior to the course commencing.
Please get in touch if you have not received this information within three working days of the course start date.
Programme details
Session 01: Introduction to financial statements and associated terminology (29 April)
- Financial statements and associated terminology
- Definitions, background information for a first general understanding
- The financial analysis process
- Analysis of a company’s modus operandi (via qualitative analysis approaches)
Session 02: Introduction to financial statement analysis (3 May)
- Common size horizontal and vertical financial analysis
- Financial ratio analysis (activity, liquidity, solvency, profitability) and Credit risk
- Introduction to ratios for valuation and the Du-Pont formula / model
- Typical value creation drivers of a firm
Session 03: Introduction to forecasting and data (6 May)
- Pro forma analysis and typical value (creation) drivers (financial & non-financial)
- Introduction to financial forecasting techniques
- Big data revolution: turning data into business (advantages)
- Different sources of data, data mining techniques & data visualization
- Introduction to data analysis (learning from data, measuring it, controlling it and communicating results)
- how to leverage data and analytics to drive strategy and innovation across firms
Session 04: From Business Intelligence to Analytics (10 May)
- Introduction to analytics and its different forms
- Real-life cases and applications from different industries and business functions such as sales, marketing, customer / client services, inventory management
- Pros, Cons and Limits of data-driven decision making
- Course wrap-up, further readings & sources
Digital Certification
To complete the course, you will be required to attend and participate in all of the live sessions on the course in order to be considered for a certificate. Participants who complete the course will receive a link to download a University of Oxford digital certificate. Information on how to access this digital certificate will be emailed to you after the end of the course.
The certificate will show your name, the course title and the dates of the course you attended. You will also be able to download your certificate or share it on social media if you choose to do so.
Fees
| Description | Costs |
|---|---|
| Course Fee | £425.00 |
Payment
Fees include electronic copies of course materials.
All courses are VAT exempt.
Register immediately online
Click the “book now” button on this webpage. Payment bycredit or debit card is required.
Tutor
Konrad Kleinfeld
Tutor
Konrad is a qualified banker, former derivatives trader and seasoned investment professional with over 20 years of industry experiencein banking, capital markets and asset management. With his extensive background, he offers a unique perspective on both investment strategies and the needs of capital-seeking businesses and corporations in his engaging lectures and seminars. Konrad is currently Head of EMEA Sales for Fixed Income ETFs at one of the world's leading asset management firms.
Prior to his current role, Konrad spent five years at BlackRock where he covered pension funds and larger German (multinational) corporations. Prior to joining BlackRock, he was a Vice President at Nomura International plc in London and Frankfurt, where he enjoyed a successful seven-year tenure. Konrad began his career as a corporate bond and credit derivatives trader, honing his skills and building a strong foundations in the financial industry.
In addition to his professional achievements, Konrad is a dedicated part-time lecturer at two prestigious German business schools, where he teaches various aspects of finance and economics to both masters and undergraduate students. In addition, he had the privilege of being a summer school lecturer on finance and artificial intelligence (AI) at King's College London, University of London, from 2016 to 2018. Konrad also shares his expertise as a tutor at Oxford, focusing on topical issues in financial services and AI.
Konrad's educational achievements include a BA in Banking, an Advanced Diploma in International Development from the University of Cambridge and an Executive MBA from Cass Business School, City, University of London. To further enhance his knowledge and expertise, he has obtained numerous financial certifications. His insights have been recognised and he has been quoted and interviewed by several prominent German TV and print media, including ARD, Tagesschau, n-tv, FAZ, DAF, Sueddeutsche and Handelsblatt.
Application
If you would like to discuss your application or any part of the application process before applying, please click Contact Us at the top of this page.
Level and demands
This course is designed for those in middle management and/or those who have recently moved into a managerial role, who need a refresh or introduction to financial statement analysis, data and analytics.
It will also be beneficial to entrepreneurs, individuals and start-ups that want to gain a good overview of the wider subject area.
IT requirements
This course is delivered online usingMicrosoftTeams. You will be required to follow and implement the instructions we send you to fully access Microsoft Teams on the University of Oxford's secure IT network.
To participateyou mustbe familiar with using a computer for purposes such as sending email and searching the Internet. You will also need regular access to the Internet and a computer meeting our recommendedminimum computer specification.
It is advised to use headphones with working speakers and microphone.
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