Finance Analytics Program
The FINANCE ANALYTICS program applies a non-traditional learning approach, focusing on the 20% of core knowledge that delivers 80% of real-world financial analytics capability.
You don’t start with tools or fragmented techniques you start with clear frameworks and structured thinking that turn numbers into decisions.
This course helps you move beyond shallow insights and decorative dashboards, and build an AI-ready Finance Analytics foundation so you stand out not by working harder, but by thinking sharper in the AI era.
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Low-code, AI, Automation: End-to-End Finance Dashboard System
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Actionable Insights & Data Storytelling in Finance
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Analytical Thinking & Analytics Framework in Finance
Finance Analytics Program
Who should sign up for the course?
Business Intelligence
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The finance team wants to upgrade their role.
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Finance and accounting professionals who want to advance to analysis and planning roles.
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Those with 1-5 years of experience looking to transition to a Finance Business Partner/FP&A role.
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Data Analysts want to enhance their financial thinking skills to conduct in-depth analysis and communicate more effectively with the CFO.
The management team needs to make data-driven decisions.
Non-finance managers want to understand finance in order to effectively collaborate with the Finance department in budgeting, KPIs, and performance evaluation.
Team leaders/heads/managers want to improve their analytical skills to manage work based on financial drivers rather than intuition.
Business leaders need to see the big picture of operations.
SME owners and startup founders want to manage costs, profits, efficiency, and risks based on data.
Executives want to understand the company's financial capabilities and read the story behind the numbers.
No input required.
However, the FA course focuses only on the specific Automation Dashboard, Insights & Data Analytics Flow in Finance . Advanced data analytics techniques should be acquired independently or through the Business Intelligence course. Therefore, MDA encourages you to take the Business Intelligence course before the FA course for the best results.
The content focuses on analytical techniques.
The course content is based on an internationally recognized framework for Finance & Analytics. The course progresses from the framework to a real-world product demo and provides detailed, hands-on guidance on the financial data analysis workflow.
We're giving away a comprehensive set of instructional materials.
In addition to the curriculum, Power BI demo files, detailed practice guides, course content mind maps, Prompt AI in Finance Analytics, etc., there are also many free accompanying resources: Data Visualization Series on Power BI (E-learning), mind maps for selecting charts (500 Power BI chart types), PL300 exam preparation materials, Analytical Thinking materials, Analytics industry dictionary, etc. For students who pass the Final Test: a free DAX & SQL series (E-learning).
Impressive achievements
+250
Business
choice
+61
Course started (+56 BI, +3MAA)
+2500
Students are trained from the program
>95%
Students give good feedback about the program
6+
Value of the course
Business Intelligence
01.
Khó khăn: đọc được nhưng chưa hiểu và liên kết được tác động của các chỉ số lên báo cáo tài chính Giá trị khóa học: giúp bạn nâng cao tư duy phân tích tài chính & cách liên kết các chỉ số để lấy insights
03.
Khó khăn: các nguồn dữ liệu rời rạc, mất thời gian tổng hợp và chưa biết cách tạo nên một báo cáo hoàn chỉnh Giá trị khóa học: Giải thích end-to-end quy trình tổng hợp dữ liệu đến trực quan hóa báo cáo và Giải thích tính ứng dụng của từng loại báo cáo tài chính
05.
Khó khăn: không có kinh nghiệm viết DAX query để tính toán các chỉ số tài chính trên Power BI Giá trị khóa học: vận dụng AI để tìm DAX ứng dụng phân tích trên Power BI
02.
Khó khăn: chưa biết cách tiếp cận vấn đề và giải quyết vấn đề thông qua tư duy phân tích dữ liệu Giá trị khóa học: học cách nhìn doanh nghiệp qua KPI drivers, logic tree, scenarios planning...
04.
Challenges: Financial data already loaded into Power BI or too many reports and lack of understanding of the application of each type of financial report, lack of knowledge on how to create Power Queries combined with DAX for automated analysis and how to organize and visualize dashboards, and how to create Executive Summary linking reports. Course Value: Practical application in creating a comprehensive Management Dashboard and connecting all information from individual reports.
06.
Khó khăn: tìm hiểu rời rạc, không liên kết tất cả kiến thức bức tranh tổng thể trong Finance Analytics Giá trị khóa học: "connecting the dots" liên kết kiến thức rời rạc thành luồng phân tích nhất quán, rõ ràng
TECHNOLOGY USED IN THE COURSE
1/ Microsoft technology
According to the Gartner rankings updated in June 2025, Microsoft is leading globally in Business Intelligence. Therefore, MDA will choose Microsoft technology to teach after the central course has shared free courses Coding SQL, DAX, Python visual in Power BI in more depth.
Training Program
COURSE CONTENT
FINANCE ANALYTICS
Session 1
Financial analysis framework & foundational knowledge
1. Redefining the Finance role: from a record-keeping function to a strategic partner who works alongside leadership in decision-making. 2. A new capability development framework for Finance: strong technical foundations, deep business understanding, and a focus on delivering real, tangible value. 3. The role of Finance in the organization: ensuring data reliability, supporting sound decision-making, and managing resources effectively. 4. Introducing a lean financial strategy mindset that helps define profit objectives clearly and provides clear direction for action. 5. Shifting the analytical focus from “what the numbers are” to “why they happened” and “what they will lead to,” in order to generate forward-looking insights.
Session 2
Financial data analysis techniques
A system of 10 core financial analysis technique groups, covering areas from data reliability and control to performance, risk, and operational analysis (confidential).
Session 3
Fundamental financial mechanisms/principles
A system of financial mechanisms and principles: the foundation for applying the 10 groups of financial analysis techniques in Session 2 (confidential). 1. Establishing a solid financial foundation before analysis: all management reports must be traceable back to source data to ensure reliability and credibility. 2. Developing an economic-substance mindset: understanding the underlying economics of transactions rather than merely following accounting formats or templates. 3. Correctly applying revenue and expense recognition principles by period to avoid profit illusions and flawed decision-making. 4. Viewing financial performance beyond profit and loss, incorporating cash flow and working capital to prevent growth without sufficient operating liquidity. 5. Expanding the cost perspective through Total Cost of Ownership (TCO) to enable long-term optimal decisions instead of short-term cost cutting.
Session 4
Dashboard systems and data sources in financial analysis.
1. Understanding why financial data visualization is critical in enabling leaders to make fast and accurate decisions. 2. Distinguishing three types of financial dashboards by purpose: operational monitoring, performance analysis, and strategic decision support. 3. Identifying financial data sources within the organization and understanding how to connect them into a unified, end-to-end view. 4. Knowing how to select and use the right chart types for each type of financial analysis to avoid data misinterpretation. 5. Reviewing the complete financial analysis process before presenting data on dashboards. 6. Practicing data preparation to ensure readiness for subsequent analysis and dashboard-building sessions.
Session 5
Practical Application of Visualizing the Balance Sheet (BS) and Performance Analysis Report (PnL)
1. Hands-on practice: building a Balance Sheet in Power BI - Asset structure: total assets, current assets, non-current assets - Capital structure: equity and liabilities, current liabilities, long-term liabilities, capital-to-asset structure, Debt-to-Assets Ratio (DAR) 2. Hands-on practice: building a profit analysis report in Power BI - Business metrics: revenue, cost of goods sold (COGS), operating expenses, depreciation - Financial metrics: interest expense, taxes, profit after tax, earnings before interest - Profitability metrics: gross margin, operating margin, ROA, ROE
Session 6
Practical Guide to Visualizing Cash Flow (CF) Reports
1. Overview of the components of the Cash Flow Analysis Report and hands-on visualization of each cash flow category by operating nature - Cash Flow from Operating Activities (CFO) - Cash Flow from Investing Activities (CFI) - Cash Flow from Financing Activities (CFF) 2. Hands-on practice: visualizing cash flow components and cash flow reports - Accounts Receivable (AR) reports - Accounts Payable (AP) reports 3. From reporting to cash flow movement analysis using two methods - Direct Method - Indirect Method
Session 7
Practice visualizing strategic reports, linking financial indicators to present to the CFO.
1. Hands-on practice: visualizing strategic reports - How to analyze and measure changes over time, compare variances against the original budget, and identify linkages between financial metrics. 2. Hands-on practice: creating a one-page Executive Summary and Management Dashboard - How to select the essential financial metrics for management reporting. - How to design dashboards that clearly communicate financial insights for the CFO and senior leadership.
Session 8
Practice advanced financial analysis with a specific case study.
PVM, Sensitivity, and What-If Analysis 1. Decoding the paradox of “revenue growth without profit growth” using Price–Volume–Mix (PVM) analysis to properly assess the quality of growth. 2. Identifying the trap of volume-driven growth that erodes profitability and detecting risks from shifts in product mix, sales channels, or market structure. 3. Applying sensitivity analysis to evaluate the impact of changes in price, costs, exchange rates, and other key variables before risks materialize.
Session 9
Leverage Actionable Insights and tell stories with data.
1. Connecting analytical thinking with dashboard systems to uncover actionable insights and tell compelling data-driven stories. 2. Hands-on practice and live demonstrations based on real-world use cases
Session 10
Final Project (Finance Analytics Capstone Project)
Learners complete a capstone project, designing an Operational Finance Analytics system and building a Business Tree to connect and structure analytical thinking.
10 Finance Analytics training sessions :
01. Financial analysis framework & foundational knowledge
03. Financial Mechanism/Principles
05. Practical Application of Visualizing the Balance Sheet (BS) and Performance Analysis Report (PnL)
07. Practice Visualizing Strategic Reports, Linking Financial Indicators to Present to the CFO
09. Leveraging actionable insights and telling stories with data.
02. Financial Data Analysis Techniques
04. Dashboard systems and data sources in financial analysis
06. Practice visualizing the Cash Flow Analysis (CF) report.
08. Practice advanced financial analysis with a specific case study.
10. Final Project (Finance Analytics Capstone Project)
TUITION & DISCOUNTS
The tuition fee includes 10 lessons (equivalent to 1 month), textbook costs, PL300 exam preparation materials, supplementary reference materials, and other amenities.
Learn OFFLINE
In-person classes are available in Ho Chi Minh City.
Price: 9,500,000 VND/person
10.000.000
Receive a 5% discount when registering in a group of 3 people/course or when you are a full-time Bachelor's/Master's student with remaining coursework.
15% discount for former students of other programs . Maximum discount of 15% applies.
Installment payment options are available via credit card.
Tuition fees do not include 8% VAT.
*The price displayed includes a 5% discount for registrations made before February 26, 2026. This discount only applies to students paying the full course fee.
Study ONLINE
On website or mobile app
Price: 9,500,000 VND/person
10.000.000
Receive a 5% discount when registering in a group of 3 people/course or when you are a full-time Bachelor's/Master's student with remaining coursework.
15% discount for former students of other programs . Maximum discount of 15% applies.
Installment payment options are available via credit card.
Tuition fees do not include 8% VAT.
*The price displayed includes a 5% discount for registrations made before February 26, 2026. This discount only applies to students paying the full course fee.
Finance Analytics Program
Expected start date:
March 17, 2026
Online learning
Through the Lark platform
Class schedule
EduFin Space - 85/1 Nguyen Phi Khanh,
Tan Dinh Ward, District 1, Ho Chi Minh City
Class schedule
6:30 PM - 9:00 PM every Tuesday and Thursday
10 REASONS TO LEARN
BUSINESS INTELLIGENCE AT MDA
MATERIALS INCLUDED IN THE FINANCE ANALYTICS COURSE
FACULTY TEAM
BUSINESS
Lecturers at MDA have worked, consulted and trained Data Analytics for many prestigious Vietnamese and international enterprises.
TRAINING DOMESTIC AND INTERNATIONAL STUDENTS
Mastering Data Analytics is currently a data analysis training partner for large enterprises such as Prudenital, P&G, Generali, BIDV, HSC, AEON, Heineken... After nearly 6 years of implementation , we have trained thousands of students from large domestic and foreign companies and many SMEs.
+50
Businesses have trained and consulted
+250
The company has registered its employees for training.
+500
Enterprises where MDA students have worked/are working
STUDENTS CONFIDENTLY TAKE THE PL-300/DA-100 INTERNATIONAL CERTIFICATE EXAM
Although the course always focuses on techniques and thinking when analyzing data , during the learning process, students will be familiarized with technology/tools in the BI field through analysis practice . After the course, along with the PL-300 REVIEW document set compiled and exclusively synthesized by Mastering Data Analytics, you can completely review for the PL-300 certificate from Microsoft right away.
Distinguishing ANALYTICS Specialized Terms to Correctly Understand the Business Intelligence Program (Data Analytics includes Business Intelligence (BI) & Business Analytics (BA). Business Intelligence Program is a suitable program for those who want to start Data Analysis in business). BI focuses on analyzing the past of the business, BA uses algorithms to analyze the future of the business. If you are good at BI, then study BA.
CONFIDENTLY INCREASE YOUR CAREER OPPORTUNITIES
Frequently Asked Questions
Register for the course
Finance Analytics Program