Financial Analytics Programme — 10 Weeks

Become a
Data-Driven
Finance Analyst

Exclusively designed for Finance and Accounting Professionals to meet today's industry demands — Excel automation, Power BI dashboards and data-driven analysis.

Real World Finance Scenarios

19 Years MNC Experience

1,500+ Professionals Trained

Designed for

Finance Analysts

FP&A Analysts

R2R Analysts

Accounting Professionals

O2C & Business Operations

MIS Reporting Roles

Join Live Batch — ₹2,499 → Self-Paced Access — ₹999

One-time payment · Lifetime access
7-Day Money-Back Guarantee — Zero risk

Watch Before You Enrol

Watch the Video — Course Overview

A walkthrough of what this 12-day programme covers and how it is taught.

Programme Preview

AFAP Careers — 12-Day Live Training

Your Learning Path

Next 14 Weeks — Are You Ready to Start?

Start building the skills that make you stand out. Become a data-driven Finance Analyst.
I will help you stand out with premium skills and the confidence to solve complex problems.

Here is your journey — from basics to boardroom-ready.

Excel Foundations — Weeks 1 to 7

Week 1 01

You become comfortable working with Excel. You are ready to work with data.

Sort and filter data
Build validations to prevent data errors
Remove duplicates and clean data
Format data professionally

Week 2 02

You start using Text, Date and Number Functions. You become comfortable combining functions.

Use Text functions to extract and transform data
Use Date functions for working days, months, quarters
Use Number functions for budget and cost calculations
Combine functions to solve complex problems

Week 3 03

You use XLOOKUP, VLOOKUP and Index & Match with multiple criteria to solve complex problems. You build quick scenarios using IFS and Nested IFs confidently.

XLOOKUP and VLOOKUP with multiple criteria and wildcards
IFS, Nested IFs, Nested IF with AND and OR
Confidently build formulas for real finance scenarios

Week 4 04

You learn to summarize data using basic to advanced Pivot Tables. You build MIS reports like an MNC analyst.

Analyse reporting requirements and define KPIs
Consolidate data, structure your report, perform calculations
Use SUMIFs and build interactive dropdown-driven MIS reports
Format and present reports to clients and stakeholders

Week 5 05

You learn how to approach dashboards like an experienced Finance Analyst — from requirements to final delivery.

Analyse requirements, structure your dashboard, build a wireframe and storyboard
Choose the right visuals to tell the story
Format and transform the dashboard — presentable to clients

Week 6 06

You solve a more complex dashboard problem — each manager gets their own user ID and password with personalised views.

Build a customised access-controlled Excel dashboard
Display views mapped to each manager's login
Use FILTER and TOP N functions for problem-solving from real client requirements

Week 7 07

You start working with GL data. You build a P&L, perform vertical and horizontal analysis and run scenario models.

Build P&L — vertical, horizontal analysis and trend view
Build a dynamic base case, best case and worst case forecast
Use WhatIf and Sensitivity tools to test scenarios
Use Solver for complex scenario testing with multiple constraints

Excel BI, Power Query, DAX & Power BI — Weeks 8 to 14

Week 8 08

You learn how the Excel BI tools work — how to use Excel for millions of rows of data and the full BI framework.

Understand the ETL process — Extract, Transform, Load
Use Power Query to extract data from different sources
Perform cleaning and transformation on data
Optimise Query steps, append, merge data and manage load options

Week 9 09

You learn how to build a Data Model with a Finance dataset — the foundation for automated reporting.

Understand Fact vs Dimension tables and how to organise them
How to connect, edit and delete tables — cardinality and filter direction
Schemas and relationships — Star vs Snowflake

Week 10 10

You start building reports — commercial summaries showing payments pending, sales, volume and % performance.

Number of payments pending, sales, average sales, volume, % performance
Build more complex summaries using Iterative functions — Sales excluding GST
Understand Calculated Columns vs Measures — when to use each

Week 11 11

You start understanding DAX — the evaluation context, filter context and row context. You build a full P&L from scratch.

Calculate Revenue, COGS, Opening Stock using DATEADD
Calculate EBITDA, EBIT, PBT and PAT
Build a complete automated P&L with margin ratios

Weeks 12 – 13 12

You start performing the analysis — understanding why the EBITDA has dropped. You fully automate your analysis.

Price Volume Mix analysis — impact from price change and volume change
Opex to revenue, monthly Opex trend, Opex by categories, Budget vs Actual variance
Deep dive to analyse EBITDA unfavourable variance using different dimensions
Fully automate your analysis — make your reports dynamic for slicing and dicing

Week 14 14

You learn how to visualise your data using Power BI — fully automated, captivating and interactive reports.

Power BI basics — Power Query, DAX and Data Modelling refresher
Charting options — how to use Power BI to analyse variances
Make reports interactive — go beyond basic Excel charts
Use AI tools like Decomposition Tree to break down and analyse root cause

Career Switch — Weeks 15 & 16

Week 15 15

Start upgrading your resume with advanced skills and reporting projects.

Add 9+ live finance projects to your resume
Excel and Power BI Certification — add to LinkedIn instantly
Showcase advanced skills to recruiters and hiring managers

Week 16 16

Complete the interview checklist. Position yourself confidently for high-value analyst roles.

Placement Prep Pack — resume template and interview checklist
Position yourself for FP&A, MIS and Analytics roles at MNCs
Walk into interviews with a strong portfolio and real projects

🏆

Build Automated Reports at Work. Showcase and Impress with Advanced Skills.

Make your reports error-free, faster and more dynamic. Become the go-to Financial Analytics Expert for your clients, management and team — with sharper technical and analytical skills for high-value analyst roles.

Start Your Journey →

Built During the Programme

Built from Experience.

Every dashboard, report and model you see here was built from real industry problem solving experience — using real MNC finance data.

Power BI — Budget vs Actual Variance Dashboard

Power BI

Excel MIS Reporting Automation

Excel

Financial Analysis Dashboard

Excel

Finance Data Models — Power Query & Data Modelling

Data Model

FP&A Reporting Automation

FP&A

Variance Analysis & Trend Reporting

Analytics

P&L Automation — Dynamic Scenarios

FP&A

MNC-Grade Finance Dashboard

Dashboard

Premium Financial Analytics Course — Enroll Now

Join Live Batch — ₹2,499 →

Don't Miss This

Offer Price Ends in 5 Days - Here Is Everything You Get

Full breakdown of every module and feature inside each plan.

Plan 01

Self-Paced Access

₹ 999

₹1,999 One-time · Lifetime access ✓ Save ₹1,000 — 50% off

Excel — 5 Levels 7 modules

Excel Basics — Foundation before advancing

Excel Contract Financial Analysis

MIS Reporting — Budget vs Actual

Headcount Dashboard — MNC standard

Access-Controlled Dashboard

P&L Reporting — Vertical, Horizontal & Trend

Forecast Scenarios & Sensitivity Tools

FP&A Automation 4 modules

FP&A Reporting Automation — End-to-end

P&L Automation & Dynamic Forecast Scenarios

Price Volume Analysis Automation

Variance Analysis Automation & Trend Analysis

Power BI 4 modules

Power BI Variance Dashboards — CFO-ready

Complete Power BI — Query, Modelling, DAX

Power BI for Finance, Sales & Variance

Complex Real-World MNC Datasets

Included 4 items

40+ Hours of Course Content

9+ Reporting Projects for your resume

Lifetime Access — all future updates free

Excel & Power BI Certification

Not Included

12 Days Live Training

Interactive Q&A every session

Placement Prep Pack

Exclusive Premium WhatsApp Group

Get Instant Access — ₹999 →

One-time · No hidden fees

⭐ Most Popular

Plan 02

Self-Paced + Live Training

₹ 2,499

One-time · Everything included ✓ 7-Day Money-Back Guarantee

Includes everything in Self-Paced — all 19 features above, plus:

🔥 Live Batch — April 20th 7 items

12 Days Live — Automation + Power BI sessions

8:30–9:30 PM IST · Mon to Thu · Recordings available

Interactive Q&A — real-time doubt clearing

Placement Prep Pack — resume + interview checklist

Exclusive Premium WhatsApp Group

Fast-Track Implementation — apply skills same week

Special Discounts on future courses

Join April 20th Batch — ₹2,499 →

One-time · All live sessions included

Both plans come with a 7-Day Money-Back Guarantee — Zero risk. Secure payment via Razorpay.

Taught by Sobhish — Ex-IBM

19 Years MNC Finance Experience

1,500+ Professionals Trained

Detailed Course Syllabus — Sobhish Analytics

Comprehensive Curriculum

Detailed Course Content
Expand & View Chapters

Excel Introduction

Excel Basics — Introduction
Excel User Interface
Entering Data into Excel
Raw Data Excel Introduction — Download this

Formatting in Excel

Formatting Rows and Columns
Control & Shift Keys — Important Shortcut Keys
Text Formatting
Formatting Numbers
Formatting Dates
Formatting Others

Working with Data in Excel

Filtering Data in Excel
Sorting Data
Find & Replace
Copy and Paste Data
Paste Special Function
Clean, Transform Group
Text to Column
Flash Fill
Remove Duplicates
Data Validation
Group and Subtotal Data
Consolidate Data
Insert Objects

Formula & Functions Introduction

Functions & Formulas
Final Review & Others

Course Setup

Course Introduction
Before you Start
Guidelines
Project Walk-through
Project Files

Text Functions Challenges

1. Join Text — Create a full name column
2. Proper — Change Name to Proper
3. Combine Functions
4. Trim — Remove Extra Space
5. Right Function — Extract Location ID
6. Left Function — Extract Employee ID
7. Dynamic Extraction Len & Left
8. Flash Fill

Date Function Challenges

1. DATEDIF - DAYS — Calculate Average Days
2. DATEDIF - MONTH — Calculate Months
3. DATEDIF - YEAR — Employees Less than 1 year old
4. Network Days — Calculate Total Working Days
5. YEAR Function — Employees Joined in 2023
6. MONTH — Employees joined in March '23
7. Quarter — Employees Joined in Q1 '23
8. TEXT — Any relieving dates on Sat or Sunday
9. How many people relieved in 2022
10. MONTH — Number of people relieved in Nov '22
11. Quarter — Number of people relieved in Q1 '23

Number Function Challenges

1. Number Functions — Employee Working Days
2. Number Functions — Labour Budget Summary
3. Number Functions — Conveyance Actuals

Lookup Functions Challenges

1. Lookup Function Intro
Problem #1 — Which employee has the highest travel amount
Problem #3 — Reasons for Vlookup Errors & How to fix them
Problem #4 — Replace #NA Error with Text Value Not found
Problem #5 — What is the total Emp Count for Bangalore
Problem #6 — What is the employee count for Manager Jayan Tharakan
Problem #7 — How to use XLOOKUP to populate manager name
Problem #8 — Populate Experience Category
Problem #9 — Populate Employee Level
Problem #10 — Populate Weekday / Weekend based on Day
Problem #11 — How to use Xlookup with Wildcard
Problem #12 — How many people are under Leader Deepesh Jain
Problem #13 — What is the average Fresher Cost Rate
Problem #14 — How to avoid creating a Temporary Lookup column
Problem #15 — How to use Xlookup to populate Cost Rate
Problem #16 — How to use Xlookup with multiple criterias
Problem #17 — What is the Travel cost for Project PID002
Problem #18 — What is the total Labour Plan cost for PID003
Problem #19 — Calculate Monthly Labour Plan Cost

Logical Function Challenges

Logical Functions Introduction
Problem #1 — Categorize Baselocation vs Others
Problem #2 — Category Travel as Approval Required and Not required
Problem #3 — Calculate 2H forecast scenario 1
Problem #4 — Populate Weekend vs Weekday in Travel
Problem #5 — Forecast Scenario 2
Problem #6 — Forecast Scenario 3
Problem #7 — What is the standard vs premium employee count
Problem #8 — 2H Forecast scenario 4
Problem #9 — How many Level 2 approval travel charges are there
Problem #10 — Forecast Scenario 5
Problem #11 — Categorize Conveyance Charges
Problem #12 — Create Experience Categories
Problem #13 — Forecast Scenario 6

Summarize Data — Pivot Tables

Pivot Tables — Setting the Context
Pivot Tables — Why do we use it
Problem #1 — Create a summary showing Employee Count by Location
Problem #2 — What is the Avg. Experience for each role. Sort from largest to smallest
Problem #3 — What is the average experience by role & project
Problem #4 — Modify the Pivot table to change the design
Problem #5 — What is the count of employees under each leader
Problem #6 — Active vs In-Active employee count under each leader
Problem #7 — What is the premium vs standard employee count by project
Problem #8 — How many people joined in each year by month
Problem #9 — How many people were relieved each year by Quarter
Problem #10 — No. of people joined under each leader by year & Month
Problem #11 — Architect role with highest average cost rate
Problem #12 — Emp Count & Avg. cost rate for Tester & DBA Roles
Problem #13 — Percentage count of employees by location
Problem #14 — Percentage of conveyance spent in 2013
Problem #15 — Other expense total & percentage for 2023
Problem #16 — Other expense 2H '22 vs 1H '23 variance & percentage
Problem #17 — Plan labour variance & percentage variance
Problem #18 — Labour Actual variance & percentage variance
Budget vs Actual IT Project Financial Analysis

MIS Reporting

MIS Reporting Introduction
MIS Reporting — Why to use Functions for MIS Reporting
Problem #1 — Create a summary showing location wise count
Problem #2 — Create a summary showing Premium vs Standard count
Problem #3 — Populate Employee count by Location & Status
Problem #4 — Populate Employee Count & Average Cost rate
Problem #5 — Calculate subtotal of employee cost rate
Problem #6 — FILTER & Average to calculate Grand total Average
Problem #7 — Travel Budget vs Actual Reporting Requirements
Problem #8 — Requirement analysis to report structure
Problem #9 — Populate the Travel budget & actual numbers
Problem #10 — How to install Power Query
Problem #11 — Designing & validation of Report
Problem #12 — Report 2 — Requirement Analysis
Problem #13 — Understanding KPIs & Calculations
Problem #14 — How to do your data study
Problem #15 — How do you structure your report
Problem #16 — Extract source data into calculation file
Problem #17 — Clean & Transform Budget Revenue
Problem #18 — Clean & Transform Revenue Actuals
Problem #19 — Clean & Transform Labour Plan Data
Problem #20 — Clean & Transform Labour Actual
Problem #21 — Clean & Transform Travel Plan
Problem #22 — Clean & Transform Travel Actuals
Problem #23 — Clean & Transform Other Expenses Plan
Problem #24 — Clean & Transform Other Exp Actuals
Problem #25 — Populating the numbers with SUMIFs
Problem #26 — Complete Remaining calculations
Problem #27 — Calculating QTD and YTD Numbers
Problem #28 — Enabling ALL FILTER for Project ID
Problem #29 — Formatting the Report
Problem #30 — Final Validation

Headcount Status Dashboard

Dashboard Introduction
Two different approaches to Dashboard Building
Dashboard Creation Process
Dashboard Creation — Client Requirements
Problem #1 — Analyze Client requirements
Problem #2 — What is a wireframe and why to create it
Problem #3 — How to create Pivot Table summaries
Problem #4 — How & why to create a story board
Problem #5 — Create your Charts
Problem #6 — Which chart to choose when
Problem 7 — Format the chart elements
Problem 8 — Arrange Charts in Dashboard Layout
Problem 9 — Making the alignments right
Problem #10 — Create KPI Cards
Problem #11 — How to format your first chart
Problem #12 — How to use Templates
Problem #14 — Format KPI Visuals
Problem #15 — Create a Project Lead Slicer
Problem #16 — Final Changes
Course Wrap up

Setup & Project Files

Before you Start
Guidelines
Project Files
Project Files v.01

Excel Dynamic Dashboard

1. Requirement Analysis
2. Study Data & KPI Calculations
3. Prepare Employee Data
4. Prepare Travel Data
5. Create Calculation Sheet Part 1
6. Calculation Sheet Employee Data Part 2
7. Calculation Sheet Travel Part 1
8. Calculate Forecast Figures
9. Calculation Sheet Travel Continued
10. Creating Charts
11. Finalizing Headcount Dashboard
12. Finalizing Travel Dashboard
13. Finalizing Travel Dashboard Part B
14. Setting up Access Control
15. Setting up Access Control Part B

Course Setup

Course Introduction
Before you Start
Guidelines
Excel Finance Modules
Files

Income Statement & Analysis

1. Dataset Introduction
2. Prepare Calculation Sheet
3. Creating a new Amount column
4. Structuring Income Statement
5. Formatting Income Statement
6. Income Statement Vertical Analysis
7. Formatting Vertical Analysis
8. Income Statement Horizontal Analysis
9. Vertical Analysis Conditional Formatting
10. Trend Analysis
11. Trend Analysis Formatting
12. Operating Expense Budget vs Actual Analysis Part A
13. Operating Expense Budget vs Actual — Formatting

Forecasting & Scenario Planning

14. Excel Forecasting Function Part A
Excel Forecasting Function Part B
Best case / Worst case / Base case Scenario Template
Forecasting Basecase, Bestcase and Worstcase Scenarios — Part 1
Forecasting Basecase, Bestcase and Worstcase Scenarios — Part B
Forecasting Basecase, Bestcase and Worstcase Scenarios — Part 3
Forecasting Basecase, Bestcase and Worstcase Scenarios — Part 4
Forecasting Basecase, Bestcase and Worstcase Scenarios — Part 5
Goal Seek
Data Table
Solver
Course Wrap up

Introduction

1. Session Introduction
2. How this learning is organized
3. Excel BI Framework
Instructions (Important)
Project Data Files (Download)
Project Files

Get Data

4. Getting Data into Excel
5. Extracting first data file into Excel
6. Load Data & save

Power Query — Import Data

7. Power Query UI Overview — 1
8. Power Query UI Overview — 2
9. Power Query UI Overview — 3
10. Power Query UI Overview — 4
11. Power Query UI Overview — 5
12. Power Query UI Overview — 6
13. Power Query Applied Steps
14. Power Query Import Project Data
15. Import Sales data from folder

Power Query — Transform Data

16. Project Data Transformation — 1
17. Project Data Transformation — 2
18. Project Data Transformation — 3
19. Project Data Transformation — 4
20. Project Data Transformation — 5
21. Project Data Transformation — 6
22. Project Data Transformation — 7
23. Project Data Transformation — 8
24. Project Data Transformation — 9
25. Project Data Transformation — 10
26. Project Data Transformation — 11
27. Data Transformation — Merge Queries
28. Data Transformation — Group Data
29. Data Transformation — Append

Data Modelling

30. Data Modelling Introduction
31. Data Modelling — Fact & Dimension Tables
32. Data Modelling — Primary & Foreign Keys
33. Data Modelling — Connecting Tables
34. DAX & Reporting — Introduction

DAX & Financial Reporting & Analysis

35. DAX & Reporting — Creating a Measure
36. DAX & Reporting — Aggregation Measures
37. DAX & Reporting — Aggregation Functions Part B
38. DAX & Reporting — Text, Date Functions
39. DAX & Reporting — The Filter Context
40. DAX & Reporting — GST Calculation with Iterative function
41. DAX & Reporting — Iterative function measure
42. DAX & Reporting — Forecast model with Iterative Function
43. DAX & Reporting — Forecast best & base case scenarios
44. DAX & Reporting — Creating a disconnected table
45. DAX & Reporting — Dynamic Toggle Button
46. DAX & Reporting — Handling Default State in measure
47. DAX & Reporting — Using SWITCH for Scenarios
48. DAX & Reporting — Dynamic Forecast with VALUES & HASONEVALUE
49. DAX & Reporting — Changing Filter Context with Calculate
50. DAX & Reporting — Calculate with multiple filters
51. DAX & Reporting — Sales Trend Analysis against Q4 '23
52. DAX & Reporting — Sales Trend Analysis against Q4 '23 Avg Part B
53. DAX & Reporting — Formatting Sales Trend Analysis
54. DAX & Reporting — Opex Spend Analysis Part A
54. DAX & Reporting — Opex Budget vs Actual Analysis — Part B
54. DAX & Reporting — Opex vs Actual Variance Analysis Part C
55. DAX & Reporting — P&L Reporting Automation — Part A
56. DAX & Reporting — Chart of Accounts, P&L KPIs, Opening Stock
57. DAX & Reporting — Opex, EBITDA, EBIT, Net Margin Calculation
58. DAX & Reporting — Formatting P&L Report
59. DAX & Reporting — Analyzing Revenue Drop — PVM Analysis
60. DAX & Reporting — Price Volume Impact Analysis — Part B
61. DAX & Reporting — Formatting PVM Analysis
62. DAX & Reporting — Formatting PVM Analysis Part B
63. DAX & Reporting — Analyzing EBITDA Drop
64. DAX & Reporting — Opex BvM Analysis
65. DAX & Reporting — Opex Spend Ratio Analysis
66. DAX & Reporting — Opex Category Ratio Analysis
67. DAX & Reporting — Opex to Revenue Analysis
68. DAX & Reporting — Opex Monthly Budget vs Actual to Budget %
69. DAX & Reporting — Opex Spend Deep dive
70. DAX & Reporting — Formatting Opex Analysis
71. DAX & Reporting — Opex Analysis — Change number formats
72. DAX & Reporting — Opex Reporting Formatting Continued
73. DAX & Reporting — Opex Spend Report — Finalizing
74. DAX & Reporting — Revenue Mix Analysis
75. DAX & Reporting — Revenue Mix Analysis Formatting
76. DAX & Reporting — Revenue Mix Analysis Percentage performance
77. DAX & Reporting — Addressing Challenges with ALL Filter
78. DAX & Reporting — Analyzing Product Sales Drop
79. DAX & Reporting — Analyzing YTD Budget vs Actual
80. DAX & Reporting — Year over Year Analysis

The Problem with Most Excel & Power BI Courses

Most people learn Excel or Power BI —
but if they are asked to do a complex variance analysis or analyse P&L performance, they struggle.

Because they learn tools with generic data sets,
not finance-specific problem-solving.

✦ This Course Is Different

Complete 6 Modules —
you will never ever struggle in Excel-Heavy Finance, FP&A, Reporting Roles.

Become the Finance Analytics Expert driving business growth with data driven decisions

✦ Why This Programme

Upgrade Your Skills — Step into High-Value Roles with Confidence

Strong Technical Skills

Save 40–50% Manual Reporting Time

Excellent Financial Analysis Skills

Interview-Ready with a Strong Portfolio

Are You Ready to Level Up?

This programme is built to take you from where you are today to becoming a data-driven Finance Analyst — in 14 weeks.

Join Live Batch — ₹2,499 →

Power BI Section — Sobhish Analytics

Level 6 — Advanced Power BI

Master Power BI Sales Analytics —
Variance & Trend Analysis

Build CFO-ready dashboards using real MNC finance data — from variance breakdowns to multi-year trend analysis — everything leadership actually asks for.

Built live during the programme

What you will build & analyse:

Budget vs Actual Variance Analysis
Multi-Period Trend Analysis
Revenue Mix Analysis by Segment
Year-over-Year (YoY) Performance Analysis

Certification — Sobhish Analytics

On Completion

Showcase Your Advanced Skills

Yours on Completion

Add to LinkedIn — show recruiters and hiring managers your verified skills

What Happens After You Enrol

💳

Pay Securely via Razorpay

UPI, card, net banking — takes under 60 seconds. You get an instant payment confirmation.

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Get Your Access Link on WhatsApp

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🚀

Start Learning Today

Access all content. Live batch starts April 20th — your seat is confirmed the moment you pay.

1,500+

Students have trusted this course. I am helping them become the
go-to Financial Analytics Expert
business can count on to turn data into insights.

If you go through the first few sessions and feel this is not worth every rupee — write to us within 7 days. We return it. No forms. No questions. No chase.

I have put my practical MNC finance experience into this programme. Kept it as much affordable as I can for everyone to learn & upskill. That is the confidence I stand behind.

About — Sobhish Analytics

Sobhish

Founder · Sobhish Analytics

Your Instructor

Hi,
this is Sobhish here

Ex-IBMer — 19 Years MNC Experience in Finance & Operations
1,500+ Students Trained Across India
100+ Corporate Professionals Hired & Mentored
Six Sigma Green Belt · Certified CSM · SAFe Agilist
4,000+ Followers on LinkedIn & Instagram
Founded SOBH's — The Data Analytics School for Finance Professionals
Based in Calicut, Kerala

"I don't teach you just concepts. This course is built from my experience managing large and complex project financials, automating management reports, and directly working with senior VPs, Directors and Leadership for management reporting."

View LinkedIn Profile →

Trusted by Finance Professionals

Real People. Real Results.

From fresh graduates to senior managers — what finance professionals say after AFAP.

★★★★★ 5.0 Rating · 1,500+ professionals trained

Dear Sir,

I want to thank you for creating such a great course on Excel for Finance & Accounting Analysts. I have recently started it, and it is really helping me in my daily work.

The way you explain things in simple English makes it very easy to understand. Your step-by-step teaching style makes learning smooth and interesting.

Honestly, this course is completely worth the money. Thank you for offering such valuable content at a very reasonable price.

Best regards, Sachin Pandirkar · Mumbai

Before You Enrol

Common Questions, Honest Answers.

Everything you need to know before making your decision.

In 12 days, you learn how to automate your Excel reporting using Power Query, Data Modelling and DAX inside Excel. You also learn how to use Power BI for P&L deep dive, Budget vs Actual variance analysis, trend analysis and more.

The self-paced course starts from the very basics in Level 1 — complete beginners are welcome. No prior Excel knowledge required.

For the live batch (₹2,499): You need basic Excel skills — VLOOKUP, SUMIFs and similar. The live sessions move fast and assume these foundations. If you are a beginner, start with self-paced first and join the next live batch when ready.

If you go through the first few sessions and feel this is not worth every rupee — write to us within 7 days. We return it. No forms. No questions. No chase.

Refunds are processed securely via Razorpay within 5–7 business days.

Total content across all levels is 40+ hours. At 5–6 hours per week, most students complete all levels in 6–8 weeks. There is no deadline — you progress at your own pace and revisit any level as many times as you need.

Excel: Office 365 is recommended. Excel 2016 and later also works for most of the course.

Power BI: Power BI Desktop is free to download from Microsoft's website. No paid licence required.

If you work in FP&A, MIS, R2R, Accounts Payable, Accounts Receivable, Reporting or Cost Accounting — or any role with regular Excel work — this course applies directly to your day-to-day responsibilities. Equally suitable if you want to move into these roles.

Yes. If you enrol at ₹999 and want to join the live batch later, you pay only the difference — ₹1,500 — not the full ₹2,499. Write to us on WhatsApp and we will arrange it.

Immediately after payment you receive a confirmation. Within 5 minutes, your login credentials and WhatsApp group link are sent to your email and phone. You can start learning the same day.

Yes. Every live session is recorded and uploaded within 24 hours. You can watch at your convenience and submit questions for the next session. You will not miss anything.

Student question forum — submit any time through the student portal. Answered personally by Sobhish, mostly the same day.

Weekly connect sessions — open to all students for new topics and doubt clearing.

Yes — students enrolled at the current price get lifetime access. Future enrolments at higher prices will have a limited access period. Enrolling now secures lifetime access permanently.

No. We do not offer job placement. What we promise is real, verifiable skills and a portfolio of 10+ finance projects that strengthen your profile for FP&A and analyst roles in MNCs. Your outcome depends on how you apply what you learn.

The course is taught entirely in English.

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Windows & Android only.
Mac (Apple laptops) and iPhones are not currently supported. Please ensure you have access to a Windows PC or Android device before enrolling.

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Still have a question? WhatsApp or call +91 62825 57744 · hellosobhs@gmail.com