Ryan Vaz
Online
Skills :
About :
Ryan Vaz is a qualified Chartered Accountant with 25 years of experience in the field. He has a deep understanding of accounting principles and practices, making him well-equipped…
Ryan Vaz is a qualified Chartered Accountant with 25 years of experience in the field. He has a deep understanding of accounting principles and practices, making him well-equipped to guide students through their learning journey. Ryan is dedicated to helping students grasp complex concepts in a clear and engaging manner.
Fluent in both English and Hindi, Ryan can effectively communicate with a diverse range of students. His teaching approach is student-centered, focusing on individual needs and learning styles. Whether you are looking to strengthen your accounting skills or prepare for examinations, Ryan is committed to providing a supportive learning environment.
Ryan Vaz
Online
Skills :
Ryan Vaz is a qualified Chartered Accountant with 25 years of experience in the field. He has a deep understanding of accounting principles and practices, making him well-equipped...
Ryan Vaz is a qualified Chartered Accountant with 25 years of experience in the field. He has a deep understanding of accounting principles and practices, making him well-equipped to guide students through their learning journey. Ryan is dedicated to helping students grasp complex concepts in a clear and engaging manner.
Fluent in both English and Hindi, Ryan can effectively communicate with a diverse range of students. His teaching approach is student-centered, focusing on individual needs and learning styles. Whether you are looking to strengthen your accounting skills or prepare for examinations, Ryan is committed to providing a supportive learning environment.
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Courses by Ryan Vaz
Online
10 Hour
English, Hindi
Mumbai, F 201 Mangal Murti
On Call
Week Days / Weekends
Course Content
Here is the 10-hour Advanced Excel course restructured into a 10-day schedule (1 hour per day).
This format allows you to learn a concept and then "sleep on it," which is often better for retention with complex topics like Power Query and DAX.
Week 1: Modern Formulas & Data Visualization
Day 1: The Modern Lookup Toolkit
Goal: Stop using VLOOKUP and Index/Match.
Topics (45 mins):
XLOOKUP: Basic lookups, 2-way lookups, and wildcard searches.XMATCH: Finding positions dynamically.Exercise (15 mins): Fix a broken report by replacing all VLOOKUPs with XLOOKUPs that handle errors gracefully (using the
if_not_foundargument).
Day 2: Dynamic Arrays (The "Spill" Era)
Goal: manipulate lists of data without touching a Pivot Table.
Topics (45 mins):
FILTER: Extracting rows based on criteria (e.g., "Show me all Sales > $500").SORT&SORTBY: Auto-sorting lists.UNIQUE: Creating distinct lists from duplicates.SEQUENCE: Generating auto-numbers.
Exercise (15 mins): Build a dynamic search box where typing a name instantly filters a data table below it.
Day 3: Advanced Logic & Logic Functions
Goal: Write cleaner, shorter logical formulas.
Topics (45 mins):
IFS: Replacing nested IF statements.SWITCH: handling specific values (like turning "1" into "January").TEXTJOIN&TEXTSPLIT: Managing text strings easily.
Exercise (15 mins): Clean up a messy "Customer Feedback" dataset using text functions and categorize them using IFS.
Day 4: Visual Intelligence
Goal: Make data easier to read at a glance.
Topics (45 mins):
Advanced Conditional Formatting: Using formulas in rules (e.g., highlight the whole row if Cell A > 100).
Custom Charts: Building a "Bridge Chart" (Waterfall) to show P&L movement.
Sparklines: Mini charts inside cells.
Exercise (15 mins): Create a "Heat Map" table that visually highlights high and low performance automatically.
Day 5: Advanced Pivot Tables
Goal: Master the classic reporting tool.
Topics (45 mins):
Slicers & Timelines (connecting one slicer to multiple tables).
Calculated Fields (doing math inside the pivot).
"Show Values As": % of Parent, Difference From, Running Totals.
Exercise (15 mins): Build a report showing Month-over-Month growth % without writing a single formula.
Week 2: Automation & Data Modeling
Day 6: Power Query - The "Clean" Phase
Goal: Never manually copy/paste or delete rows again.
Topics (45 mins):
Importing data from folders (combining 10 separate monthly files into one).
Removing top rows, promoting headers.
Unpivoting: Turning "wide" data (months as columns) into "tall" data (database format).
Exercise (15 mins): Connect to a folder of 3 CSV files, combine them, and load them to a table.
Day 7: Power Query - The "Transform" Phase
Goal: Manipulate data before it hits the grid.
Topics (45 mins):
Splitting Columns by Delimiter.
Conditional Columns (If/Then logic in Power Query).
Merging Queries: The "VLOOKUP" of Power Query (joining two tables permanently).
Exercise (15 mins): Merge a "Sales" table with a "Product Master" table to bring in Product Names, then calculate Total Revenue inside Power Query.
Day 8: Data Modeling & Power Pivot
Goal: Handle 1M+ rows and relate tables.
Topics (45 mins):
The "Data Model" vs. Standard Excel Tables.
Creating Relationships (One-to-Many) between Fact and Dimension tables.
Intro to DAX: Calculated Columns vs. Measures.
Exercise (15 mins): Link three tables (Sales, Customers, Products) in the diagram view and create a Pivot Table from the model.
Day 9: Analysis & Scenarios
Goal: Forecasting and "What-If" decision making.
Topics (45 mins):
FORECAST.ETS: Detecting seasonality and predicting future values.Goal Seek: Finding the input needed to hit a target.
Solver: Optimizing for max profit given specific constraints (budget, inventory).
Exercise (15 mins): Use Solver to determine the optimal product mix to maximize profit with limited raw materials.
Day 10: Capstone Dashboard
Goal: Build a "Set and Forget" executive dashboard.
Topics (45 mins):
Designing the layout (hiding gridlines, using shapes for backgrounds).
Assembling the pieces: Slicers on the left, KPIs on top (using Cube formulas or GetPivotData), Charts in the middle.
Protection: Locking the dashboard so users can only click Slicers.
Exercise (15 mins): Finalize the "Executive View" dashboard using data prepared in Days 6-8.