Online Certificate Course on ‘Business Data Analysis & Financial Forecasting’

Session: April-June 2024
Class Schedule: Ten (10) sessions/classes every 3 hours will be held on Friday in three months.
Time: 3.00 pm - 6.00 pm
Media: Zoom online platform
Contact: 01777364474 / 01913745062, Phone: 02 47122986 (Hunting) 137/124/281 & E-mail: amit@dhakachamber.com & dbi@dhakachamber.com

Introduction

The course aims at providing a framework for business data analysis and financial forecasting using financial statements data using MS Excel. The course focuses on business data analysis and forecasting tools and explains how financial analysis can create value in well-functioning markets. In doing so, MS Excel module will cover the basic to advance financial modeling tools and techniques and later part will be focus on the business analysis and financial forecasting tools and techniques to make better analysis of businesses. DCCI Business Institute (DBI) and Daffodil International University (DIU) are jointly offering a 3 months long Online Certificate Course on ‘Business Data Analysis & Financial Forecasting’. The course is being offered for the eighth time after having commendable success in the last seven batches.

Objectives:

Upon completion of this course, participants will able to know the basic to advanced excel tools & techniques, process reported financial statements to obtain an appropriate basis for business analysis and forecasting, apply financial ratio analysis to bring out the story that the financial statements tell, analyze the businesses qualitatively, interpret financial statements, make judgments about earnings quality, and uncover hidden assets and liabilities, apply the most common valuation models, complete the valuation of the firms, use analysis and valuation to challenge the assumptions inherent in the market price.

Who Can Attend:

Top Management, Managers, Assistant Managers and Executive of organization, Financial Analysts, Inventors in Capital Markets, Accountant, Entrepreneurs, Students and those who are interested in Business Data Analysis & Forecasting.

Modules:

  • Module 1: Understanding Financial Statements & The Framework for Business Analysis
  • Module 2: Business Analysis
  • Module 3: Understanding of Excel Objects
  • Module 4: Customization of Wordbook/Sheets/Data
  • Module 5: Advance Skills on Excel Functions
  • Module 6: Advance Skills on Excel Functions-II
  • Module 7: Financial Statement Analysis: Conventional Approach
  • Module 8: Financial Statement Analysis: Contemporary Approach
  • Module 9: Prospective Analysis: Forecasting & Equity Valuation
  • Module 10:Case Analysis

Facilitators:

Highly qualified, professionally trained, reputed and experienced resource persons in the related areas, having ample theoretical and practical knowledge from home and abroad, with current information, has been invited to conduct respective sessions.

Fee:

Tk. 12,000/- payable in favour of ‘Dhaka Chamber of Commerce & Industry’ by Cash/ Pay Order/ Cheque/ EFT. It could also be paid through bKash merchant number 01766018659 (Payment) with bKash charge. Fee includes cost of tuition, course materials, exams & certificate and excludes VAT & Tax.

Discount:

10% for (one option applicable): (i) DCCI Members; (ii) Women participants; (iii) Students (pursuing his/her undergraduation & postgraduation); (iv) DIU Alumni; (v) Three (3) or more participants from one organization. Corporate discount 15% for 10 or more participants from one organization.

Admission Procedures:

For admission log on to https://forms.office.com/r/jytke41SYp Admission would be confirmed to candidates on payment of course fee.

Admission Deadline:

April 25, 2024. Seats are limited. First Come First Served.

Certification:

On successful completion participants will get certificate signed by the President, DCCI and the Pro Vice Chancellor, DIU.

Contact:

For further information, please contact to DBI, Cell # 01777-364474/ 01913745062 & Tel: 02 47122986 Ext. 137/124/281; E-mail: amit@dhakachamber.com & dbi@dhakachamber.com