Financial Analyst Course in Gurgaon/Gurugram

Financial Analyst Course

AWS Cloud Data Analytics

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Financial Analyst Certification

Financial Analyst Course

Master financial modeling, valuation, and data analysis through practical training and live projects to secure high-paying corporate finance roles.

Experienced Faculty

Learn from industry-leading CAs and IIM alumni offering 10+ years of corporate expertise through practical, real-world financial analyst training.

Placement Assistance

Get 100% placement support with resume building, mock interviews, and guaranteed interview opportunities at top MNCs to launch your finance career.

LAB Facility

Access high-tech labs with modern systems, industry software, and high-speed internet for hands-on practice in financial modeling and data analysis.

Financial Analyst Workshop Session

Participate in intensive, practical workshops featuring live case studies, real-time financial modeling, and interactive sessions to master industry-standard analytical skills.

Admin Support

Benefit from seamless administrative support providing flexible batch scheduling, course material coordination, and dedicated assistance for a smooth learning journey.

In today’s volatile economic landscape, a professional Financial Analyst acts as a “fortune teller” for businesses, providing the data-driven insights needed to make critical investment decisions. SLA Consultants Gurgaon offers a premier, job-oriented Financial Analyst Training Course designed to bridge the gap between academic knowledge and the complex requirements of the corporate world.

Our comprehensive program is tailored for commerce graduates (B.Com/M.Com), MBA-Finance aspirants, and working professionals who want to master the intricate world of financial business. By combining advanced technical skills with practical business logic, we empower our students to become irreplaceable assets for top-tier MNCs and financial institutions.

Why Choose SLA Consultants for Your Financial Analyst Career?

Industry-Leading Curriculum: Dive deep into five specialized modules, including Investment Banking, Advanced Financial Modeling in Excel, Equity Research, and Corporate Finance.

Expert Mentorship: Learn from techno-functional analysts and CA/IIM alumni with over 10+ years of real-world corporate experience.
Hands-on Learning:: Gain exposure through live projects, real-time assignments, and workshops that simulate the challenges faced by professional analysts daily.
100% Placement Assistance:: Our dedicated placement cell provides grooming, interview preparation, and guaranteed interview opportunities until you land your dream job.
KPMG Certification Support:: Benefit from high-quality training materials and modules aligned with globally recognized standards.

Who Can Enroll?

Whether you are a fresher looking to start a lucrative career in finance or a professional seeking to up-skill in valuation and financial reporting, this course is for you. We provide flexible learning options with both weekday and weekend batches available in classroom or online instructor-led formats.

Join SLA Consultants Gurgaon today and transform your analytical skills into a high-growth career in Corporate Finance.

Key Highlights for Your Page:

Duration: 120 – 135 Hours
Certification: Industry-recognized Financial Analyst Certification
Skill Level: Beginner to Advanced
Tools Covered:: MS Excel (Advanced), VBA/Macros, Financial Modeling Templates, Valuation Models (DCF, Relative)

At SLA Consultants Gurgaon, our Financial Analyst Course is meticulously engineered to transform ambitious learners into high-caliber finance professionals. We recognize that the modern financial world requires more than just theoretical knowledge; it demands the ability to interpret complex data, build robust financial models, and provide strategic insights that drive business growth.

As a premier ISO 9001:2015 certified training institute, we bridge the gap between academic learning and corporate expectations. Our program is led by techno-functional experts, CAs, and IIM alumni who bring over 10 years of industry experience to the classroom, ensuring you learn from the best in the field.

Our Vision & Mission

Our primary mission is to empower students and working professionals with 100% practical, job-oriented training. We aim to create a pool of skilled analysts who can seamlessly transition into roles across Investment Banking, Equity Research, Corporate Finance, and Portfolio Management.

What Sets Our “About” Section Apart?

Holistic Skill Development: We don’t just teach Excel; we teach you how to think like an analyst. From understanding the core principles of SAP FICO to mastering Advanced Financial Modeling and DCF Valuation, our curriculum is exhaustive.
Corporate-Level Exposure: Our training methodology revolves around real-world case studies and live projects. You won’t just see how a balance sheet is made; you will build integrated 3-statement models from scratch.
Industry-Acceptable Certification: Upon completion, you receive a certification recognized by top MNCs and financial firms, backed by our “KPMG Certification Support” framework.
End-to-End Placement Support:: Our commitment doesn’t end with the last class. We provide dedicated placement assistance, including mock interviews, resume grooming, and guaranteed interview opportunities until you are successfully placed.

Who We Serve

SLA Consultants Gurgaon has successfully trained and placed over 7,000+ candidates. Our Financial Analyst program is ideal for:

Fresh Graduates (B.Com/M.Com/BBA) looking to kick-start a career in finance.
MBA Finance Aspirants wanting to gain a competitive edge in technical skills.
Working Professionals seeking a career shift into financial consulting or analysis.
Step into the world of professional finance with SLA Consultants Gurgaon—where your career growth is our ultimate objective.

Key Program Facts for Your Page:

Training Mode: Classroom & Online Instructor-Led Sessions.
Expertise Level: Beginner to Professional
Career Outcomes: Financial Analyst, Equity Research Analyst, Investment Banking Associate, Corporate Finance Manager.
Location:: 3rd Floor, Gourav Plaza, Gurgaon (Delhi NCR).

In an era of data-driven decision-making, the role of a Financial Analyst has become the backbone of every successful organization. Whether it is a multinational corporation, a boutique investment firm, or a growing startup, businesses rely on skilled analysts to interpret market trends, evaluate risks, and forecast future performance.

Learning Financial Analysis is not just about understanding numbers; it’s about gaining the power to influence the strategic direction of a company.

Top Reasons to Pursue a Career in Financial Analysis

High Demand Across Industries: Every sector—from IT and Healthcare to Manufacturing and Banking—requires financial experts to manage budgets, analyze investments, and ensure profitability.

Lucrative Salary Packages: Financial Analysts are among the most well-compensated professionals in the corporate world. With the right technical skills (like Financial Modeling and Valuation), your earning potential grows exponentially.
Dynamic Career Path: This course opens doors to diverse roles such as Investment Banker, Equity Research Analyst, Portfolio Manager, Budget Analyst, and Corporate Controller.
Global Opportunities: The principles of finance are universal. By mastering international accounting standards and financial modeling tools, you become eligible for career opportunities in global financial hubs like London, New York, Singapore, and Dubai.
Strategic Decision Making:: You move beyond data entry into a role where you provide actionable insights to CEOs and CFOs, making you an indispensable part of the leadership ecosystem.

Why Learn Financial Analysis at SLA Consultants Gurgaon?

While the market is flooded with theoretical courses, SLA Consultants Gurgaon offers a 100% Practical Training Approach that sets you apart from the competition:

Bridge the Skills Gap: Academic degrees often lack the technical “know-how” of the industry. We bridge this gap by teaching you Advanced Excel, VBA/Macros, and Financial Modeling as used in top-tier firms.
Master Complex Valuations: Gain expertise in DCF (Discounted Cash Flow) modeling, Relative Valuation, and Mergers & Acquisitions (M&A) analysis.
Real-World Case Studies: TWe don’t use “dummy” data. You will work on actual company annual reports and live market data to build your models.
Job-Ready Certification: Our certification is recognized by major MNCs and Big 4 firms, proving to employers that you have the hands-on skills to handle the job from day one.
Lifetime Skill Upgrade: Finance is ever-evolving. At SLA, we ensure you stay updated with the latest industry tools and regulatory changes.

Don’t just study finance—master the art of financial intelligence. Equip yourself with the skills to predict the future and secure your own professional growth with SLA Consultants Gurgaon.

Key Takeaways for Students:

Skill Mastery: Learn to convert raw data into financial stories.
Competitive Edge: Outperform peers who only have theoretical degrees.
Confidence: Be prepared to clear technical interview rounds of the world’s leading financial institutions.

Flexible, Industry-Aligned & 100% Practical Training

Our Online Financial Analyst Course is meticulously designed for students and working professionals who seek the flexibility of remote learning without compromising on the quality of a rigorous, classroom-style education. This program transforms you into a job-ready professional by focusing on technical proficiency, analytical thinking, and corporate financial strategy.

Training Methodology: The SLA Advantage

Live Instructor-Led Sessions: Unlike recorded tutorials, our online classes are 100% live and interactive. You can engage with trainers in real-time, ask questions, and participate in group discussions.
Hands-on Project Work:The course is built around “Learning by Doing.” You will work on real-world simulations, analyzing actual company balance sheets and market data using advanced digital tools.
Case Study Based Learning: We utilize actual corporate scenarios and historical financial data to teach you how to predict future trends and value businesses accurately.
Cloud-Based Lab Access: Students get access to all necessary templates, software tools, and data sets required for financial modeling and analysis.

Key Course Features

Duration: 110-120 Hours of comprehensive training.
Schedule:The course is built around “Learning by Doing.” You will work on real-world simulations, analyzing actual company balance sheets and market data using advanced digital tools.
LMS Access: Gain 24/7 access to our Learning Management System for session recordings, study materials, and practice assignments.
Expert Faculty: Training is delivered by CA/IIM alumni and senior financial consultants with over a decade of industry experience.
Doubt Clearing Sessions: Dedicated weekly slots to revisit complex concepts and resolve technical queries.

Certification & Placement Support

You will gain mastery over the essential toolkit used by modern financial analysts, including:

Industry-Recognized Certification: Receive a professional Financial Analyst Certificate upon successful completion of the course and final project.
Linguistic & Soft Skills Training:We include sessions on resume building and corporate communication to ensure you excel in your interviews.
100% Interview Guarantee: Our dedicated placement cell works tirelessly to schedule interviews with top MNCs, KPOs, and Investment Banks until you are successfully placed.

Eligibility Criteria

This course is ideal for:

Graduates/Post-graduates in Commerce (B.Com, M.Com, BBA).
MBA (Finance) students looking for practical skill-upgradation.
CAs, CSs, or ICWAs seeking to sharpen their modeling skills.
Working professionals from non-finance backgrounds planning a career shift.

Enroll in our Online Financial Analyst Course today and gain the technical expertise to navigate the global financial markets from the comfort of your home

NOTE: Classes are also Available on Module Basis

Financial Analyst Course Certification

Module-1 Basic & Advanced Excel

Module-1.1 Advanced Data Handling & Cleaning

Purpose: Real-world datasets are messy. Learn to clean, transform, and prepare data efficiently.

Topics Covered

Data Cleaning Techniques
Data Protection Techniques
Removing Duplicates, Blanks, and Errors
Text-to-Columns and Flash Fill (AI Functionality in Excel)

Industry Functions

Text & String Functions: TRIM, CLEAN, SUBSTITUTE, TEXT, LEFT, RIGHT, MID, LEN
Case Formatting Functions: UPPER, LOWER, PROPER
Search & Replace Functions: FIND, SEARCH, REPLACE, VALUE, TEXTJOIN
Error & Logical Validation Functions: IFERROR, ISNUMBER, ISTEXT, ISBLANK
Date & Time Functions: DATEDIF, EDATE, EOMONTH, NOW, TODAY, DAY, MONTH, YEAR, HOUR, MINUTE, SECOND

Additional Concepts

Using Data Validation for Input Control
Dynamic Data Validation

Module-1.2 Advanced Formulas & Logical Functions

Purpose: Build dynamic, decision-based reports and formulas used across corporate functions.

Industry Functions

IF, IFS, SWITCH
AND, OR, NOT
CHOOSE, INDEX, MATCH, XLOOKUP
OFFSET, INDIRECT
Dynamic Array Functions: FILTER, SORT, UNIQUE, SEQUENCE
Nested IF and Multi-Condition Formulas

Module 1.3: Data Analysis & Business Metrics

Purpose: Learn to analyze, summarize, and interpret business data effectively.

Topics Covered

Understanding and Creating KPIs
Summarizing Large Datasets

Industry Functions

SUMIFS, COUNTIFS, AVERAGEIFS
SUBTOTAL, AGGREGATE
LARGE, SMALL, RANK
ROUND, ROUNDUP, ROUNDDOWN

Module 1.4: Advanced Lookup & Reference

Purpose: Master data linking across sheets and files — essential for analytics and reporting.

Topics Covered

VLOOKUP vs XLOOKUP (with practical applications)
Dynamic Range Referencing using INDEX-MATCH
Cross-Workbook Linking and Handling Broken Links

Module 1.5: Data Visualization & Dashboards

Topics Covered

Chart Design Best Practices
Dynamic Charts with Form Controls
Combo Charts, Sparklines, Conditional Formatting
KPI Indicators (Traffic Lights, Data Bars, Icons)
What-If Analysis for Business Scenario Testing

Module 1.6: Pivot Tables & Pivot Charts

Purpose: Master Excel’s most powerful tool for data summarization and analysis.

Topics Covered

Creating and Customizing PivotTables
Calculated Fields and Items
Grouping by Date, Month, and Quarter
Using Slicers and Timelines
Creating Hundreds of Pivot Tables in Seconds
Making Complex Pivot Tables Neat and Insightful

Module 1.7: Power Tools in Excel (for Analysts)

Purpose: Use Excel’s advanced BI tools for large-scale analytics and automation.

Topics Covered

Power Query (Merge, Append, Clean Data)
Power Pivot (Data Models, KPIs, Measures)
Connecting Excel with External Data Sources (CSV, SQL)
Introduction to RDBMS, Primary & Foreign Keys
Building Table Relationships and Data Modelling

Module 1.8: Professional Efficiency & Productivity

Purpose: Work faster, smarter, and more accurately.

Topics Covered

Advanced Shortcuts for Data Analysts
Named Ranges, Dynamic Arrays
Workbook Linking, Auditing, and Error Tracing
Formula Debugging and Error Checking
Version Control, Backup, and Template Creation

Module 1.9: Excel Integration & Productivity

Purpose: Integrate Excel with modern tools and leverage automation and AI.

Topics Covered

Excel with Google Sheets (Cloud Collaboration)
ChatGPT + Excel (AI-Assisted Formula Writing)
Excel with SQL (Data Import & Export)
Learning Techniques for Excel Shortcuts
Universal vs Non-Universal Shortcuts

Module 1.10: Excel Integration & Productivity

Purpose: Build professional, interactive dashboards.

Topics Covered

Creating Different Types of Charts
Designing Advanced Dashboards Using Summarized Data
Dynamic Dashboards with Form Controls

Assignments & Live Projects

Hands-On Practice

Module-2-VBA Macros – Excel Automation

Introduction

Flowcharts
Step-by-Step Instructions
Process Flow Diagrams
KPIs
Algorithms

VBA/Macros Basics to Advanced

Subs, Functions, Variables, Arrays, Loops, Logic,Arrays etc

Excel Macro Language Review (VBA) Including Variables, Data Types, Constants, Arrays, Operators, Expressions, Loops, Logic Decisions and Calling
Overview Of Commanding Excel Using VBA Including
A Discussion Of Objects, Properties and Method
The Power of Macros – What, When, How to use Macros.

Introduction to Object Oriented Concepts

Objects, Its Functions, Methods and Properties Introduction to Events
Details of Events, How & When to use of Events, Preparing to ‘Macro’ Visual Basic Editor (VBE) –Developer Tab, Security
Introduction to the VBE, Properties window, Project Explorer, Password Protection of Code How to use the VBE – Features, Options, Intelligence Technology
Debugging Mode, Bookmarks, Breakpoints, Watch Window, Immediate Window and Locals Window Inbuilt VBE Help Feature – Tips and Tricks
Form Controls vs. ActiveX Controls
Getting into the Code
Message Box and Input Box Working with Data in Excel through VBA

Data Types

Constants and Variables
Different type of data type; How and When to use Variables to Store Information.

Loops

For-Next, For-Each, Do-While, Do until, Do Loop Decision-Making and Code Branching
If-Then-Else,
Select-Case
And
Nested Conditions
What is user’s Defined Functions?
How to create & use them

Arrays

Use of Arrays in VBA programming with one dimensional, two dimensional or multi-dimensional analysis

Excel VBA Power Programming For VBA Macros

Working with Dynamic Ranges. Protecting Worksheets, Cells and Ranges. Working with Multiple Files. Opening & Saving Files
How to Analyze Data On Multi Worksheets And Build Summary Sheets
How to Access The Windows File And Folder System To Open And Close Workbooks
How to Protect Your Code Against Errors
How to Use Excel And VBA To Create Basic Dash Boards
How to Create Your Own Custom Business Worksheet Functions In VBA
How to Create Basic Report Generation Tools Using Excel VBA, Microsoft Word And PowerPoint
How to Use The Excel Visual Basic Macro Recorder To Record Excel Tasks In VBA And Then Interpret The Code

Overview of User forms To Create Business Wizards

Working with User Forms & User Forms Events like List box, Combo box, Option Buttons, Check box, Text box, Labels, Command button, Toggle button.
How to create dynamic dashboard on user form with different controls
How to link various user form with each other to create a complete interface between user and system

Connection between Excel VBA & other platforms

How to Establish Connection Between VBA and Internet Explorer to Open any Internet Website through VBA
How to Establish Connection Between Excel VBA and power presentation to create power point through VBA
How to Establish Connection Between Excel VBA and Access database to update the data in access through VBA
How to Establish Connection Between Excel VBA and MS Word through VBA

Testing and Debugging Your Code

Types of Errors
Using Breakpoints
Debugging Techniques

Dialogue Boxes

UsingMsgBox Function
UsingInput Box Function
Working with FileDialog
Working GetOpenFile name Method
Working GetSaveAsFilename Method

Effective Error Handling

ChatGPT AI for Excel and VBA

Live Project on VBA Macros

Module 3 - SQL Programme Modules

Module 3.1: Introduction To Databases & SQL

What Is A Database?
Types Of Databases (Relational, Non-Relational)
What Is SQL? SQL Command Categories (DDL, DML, DCL, TCL)

Module 3.2: Database & Table Creation

Creating Databases // Creating Tables
Data Types In SQL
Keys & Constraints: Primary Key, Foreign Key, NOT NULL, UNIQUE, CHECK, DEFAULT

Module 3.3: Insert, Update & Delete

INSERT Statements
UPDATE Statements
DELETE Statements

Module 3.4: Basic Data Retrieval

SELECT Statements
Selecting Specific Columns
Aliases (AS)
DISTINCT Keyword

Module 3.5: Filtering Data

WHERE Clause
Comparison Operators
Logical Operators (AND, OR, NOT)
LIKE Pattern Matching
IN, BETWEEN, IS NULL

Module 3.6:Sorting & Limiting

ORDER BY
Sorting By Multiple Columns
LIMIT / TOP / FETCH

Module 3.7: Aggregate Functions & Grouping

GROUP BY
HAVING Clause
COUNT(), SUM(), AVG(), MIN(), MAX()
GROUP BY With Aggregates
Filtering Aggregates (HAVING)

Module 3.8: SQL Functions – String

CONCAT()
LENGTH() / LEN()
LOWER() / UPPER()
SUBSTRING() / SUBSTR()
TRIM(), LTRIM(), RTRIM()
REPLACE()
INSTR() / CHARINDEX()

Module 3.9: SQL Functions – Date/Time

NOW(), CURRENT_TIMESTAMP
CURRENT_DATE, CURRENT_TIME
DATEADD(), DATEDIFF()
EXTRACT()
DATE_FORMAT(), FORMAT()
DAY(), MONTH(), YEAR()

Module 3.10: SQL Functions – Math

ABS(), ROUND()
FLOOR(), CEILING()
POWER(), SQRT()
RAND()

Module 3.11: SQL Functions – Conversion

CAST(), CONVERT()
TO_CHAR(), TO_DATE()

Module 3.12: SQL Functions – Conditional

CASE Expression
NULLIF(), COALESCE()
IIF()

Module 3.13: SQL Functions – Window

PARTITION BY
ORDER BY (Window)
ROW_NUMBER()
RANK(), DENSE_RANK()
FIRST_VALUE(), LAST_VALUE()

Module 3.14: Working With Joins

Inner Join // Left Join // Right Join
Full Join // Self Join // Cross Join
Left Anti Join // Right Anti Join

Module 3.15: Sub queries

Subqueries In WHERE
Subqueries In SELECT
Subqueries In FROM
Correlated Subqueries

Module 3.16: Views

Creating Views
Updating Views
Dropping Views

Module 3.17: Introduction To RDBMS

What Is An RDBMS?
DBMS Vs RDBMS
Features Of RDBMS
Popular Systems: MySQL, PostgreSQL, SQL Server, Oracle

Database Concepts

Tables, Rows, Columns
Schemas & Catalogs
Primary & Foreign Keys
Candidate & Composite Keys

Data Models

Relational Model
Entities & Attributes
1-1, 1-Many, Many-Many Relationships
ER Diagrams

Module 3.18: SQL Server Agent (Job Scheduling)

Overview Of SQL Server Agent
Creating A Job
Adding Job Steps
Creating A Schedule

Module-4 - MS Access

Module 4.1: Introduction to MS Access

What is MS Access?
Features of MS Access
Understanding the Access interface
Databases, tables, objects overview
Differences between Access and other RDBMS

Module 4.2: Database Fundamentals

Creating a new database
Database file types (.accdb, .mdb)
Opening, saving, and closing databases
Navigation Pane & object organization

Module 4.3: Tables in MS Access

Creating tables (Design View / Datasheet View)
Field names and data types
Field properties (size, format, input mask)
Primary key selection
Creating lookup fields
Table relationships overview

Module 4.4: Data Types & Field Properties

Short Text, Long Text // Number, Large Number
Date/Time, Currency // Yes/No
Hyperlink // Lookup Wizard // Attachment
Field validation rules

Module 4.5: Working With Data

Adding records
Editing records
Deleting record
Sorting & filtering data
Searching records

Module 4.6: Keys & Relationships

Primary keys // Foreign keys
One-to-One relationships // One-to-Many relationships
Referential integrity // Relationship window

Module 4.7A: Queries – Types of Queries

Select Queries
Action Queries (Append, Update, Delete, Make-Table)
Crosstab Queries
Find Duplicates Queries // Find Unmatched Queries

Module 4.7B: Queries – Concepts

Query Design View // Adding criteria
Sorting, filtering //Using expressions
Calculated fields

Module 4.8: Forms

Introduction to forms
Creating forms (Form Wizard, Design View)
Form layouts
Controls (Text box, Combo box, Buttons)
Binding forms to data // Navigation forms
Subforms

Module 4.9: Reports

Creating reports // Report Wizard // Grouping & sorting
Headers & footers // Summary reports
Printing & exporting reports

Module 4.10: Importing & Exporting Data

Import from Excel // Export to Excel
Importing text files // Linking tables (external data)
Connecting to SQL databases

8 Major Points to Learn MS Access in Analytics

Easy Data Management for NonTechnical Users
Relational Database Capabilities
Connecting to SQL databases
Powerful Querying (SQL Support)
Perfect for Small & Medium Projects
Integration With Excel & Business Tools
Forms & Reports for Business Insights
Automation Through Macros & VBA
Best for Teaching Structured Data Concepts

Module 5: Financial Statements & Corporate Finance

Module 5.1 – Advanced Financial Statements Analysis

Introduction to Financial Statements and Navigating the Annual Report

P/L, B/S, C/F statements reflecting operating, financing and investing activities of a business.
Understanding the purpose
Understanding of key headers and sub-headers
Format of the financial statements
General Accounting Principles and best practices

Common size Analysis

Horizontal
Vertical

Financial Ratios

Activity ratios
Liquidity ratios
Solvency ratios
Profitability ratios
Rate of return
DuPont Analysis
Other important ratios
Pro Forma Analysis and basic Projection technique

Pro Forma Analysis and Basic Projection Technique

Common Pro Forma Statements:

Pro Forma Income Statement
Pro Forma Balance Sheet
Pro Forma Cash Flow Statement
Basic Projection Techniques

Trend Analysis

Percentage of Sales Method
Regression Analysis
Moving Averages & Smoothing
Scenario Analysis

Module 5.2: Advanced Corporate Finance

Time value of Money

NPV and IRR
Future Value Excel formulas like NPV, XNPV, IRR, XIRR, PV, FV, etc

Understanding of Debt and Tax shield

Tokenization Understanding schedules for debt repayment and interest repayment
Developing the schedules on excel

Measure of Leverage

Impact of leverage on cost of capital
WACC Understanding tax shield

PCAPM model and Beta calculation

Understanding of Beta
Levered and Unlevered Beta
Calculation of levered Beta
Calculation of cost of equity

Free Cash Flow

Free Cash flow to Firm
Free Cash flow to Equity
Future Value Excel formulas like NPV, XNPV, IRR, XIRR, PV, FV, etc

Valuation

DCF Valuation
Relative Valuation
Transaction Valuation

Application of these techniques with real case studies

Module 6: Financial Modeling

Module-7 - Financial Data Visualization with MS Power BI or AI – Any One

Module 7.1 – MS Power BI

Module 7.1.1: Microsoft Power BI – Introduction

What is MSPBI& Scope
Learn the common work flow in Power BI
Building blocks of Power BIand its relations
Quick demo how to create a business dashboard in MSPBI
MSPBI components

Module 7.1.2: MS Power BI – Getting Business Data

Get data in shape for use with Power BI
Combining two or more data sets (source data) for reporting
Tackling messy data in MS Power BI
Clean &Transform data

Module 7.1.3: MS Power BI -Data Visualization

Create and customize visualization
Use combination charts
Create and format slicers
Map visualizations
Visualizations utilization
Use tables and matrixes
Long live bubbles
scatter charts in action
Advanced funnel and waterfall charts
Drive fast dashboard insights with gauges and numbers
Color your visualization world with colors
shapes and scales
Adding personal touch
logo etc. to reports and dashboards
Display and present your dashboard in a way you want with summarize data
Control how your report elements overlap with each other
Learn to drill into hierarchies
Manage how levels are shared (Z-order in reports)
How to use R visuals in MSPBI

Module 7.1.4: MS Power BI -Data Exploring & Sharing

Quick insights in Power BI Service
Create and configure a dashboard
Share dashboard with your organization
Display and edit visuals- tiles
full screen
Get more space on your dashboard
Install and configure a personal gateway
Excel and MSPBI
Import and excel table into Power BI
Import excel files with data models and power view sheets
Connect One Drive for business to MSPBI
Excel data in Power BI summary

Module 7.1.5: MS Power BI – DAX (Data Analysis Expression) Application Setting up Data Models with DAX

DAX for creating tables and columns
Rows vs. query vs. filter context
DAX for calculated tables and columns
Creating a date table
Calculated column for costs
Data cleaning with DAX
Connecting data from different tables
Methods to create DAX measures
Advantages of explicit measures V2
DAX and measures
Using variables
Basic statistical measures
Quick measures

Module 7.1.6: Power BI – Common DAX Measures

Filtering and counting with DAX
Understanding different filter functions
Using different filters with DAX
Filter ALL the data
Calculating with a filter
Analyzing across dimensional tables
Iterating functions
DIY iterating functions
Iterating functions in Power BI
Practice with iterating functions
More iterating functions
Use of RANKX()

Module 7.1.7: Power BI – Redefine DAX

Logical functions
Interpreting SWITCH()
Logical functions in Power BI
IF() for formatting tables
Exploring SWITCH()
Grouping
Row-level security
Applying row-level security
Managed roles in Power BI
Creating an email list
Implementing RLS

Module 7.1.8: Power BI – Advanced DAX

Table manipulation functions
Summary of SUMMARIZE()
Table manipulations using DAX
SUMMARIZE() the facts
ADDCOLUMNS()? No problem!
Time intelligence functions
Time intelligence functions output
Time intelligence in Power BI
Use of TOTALYTD()
Use of SAMEPERIODLASTYEAR()

Module 7.2 – Artificial Intelligence

Module 7.2.1: Introduction to Artificial Intelligence

What is AI? History and Evolution
Types of AI: Narrow, General, Super AI
Key Terms: Machine Learning, Deep Learning, NLP
Real-world Applications of AI
Future of AI

Module 7.2.2: Mathematics & Logic Foundation

Basics of Linear Algebra (Vectors, Matrices)
Probability and Statistics
Logic & Set Theory
Graph Theory Basics

Module 7.2.3: Programming for AI

Introduction to Python
Python Libraries: NumPy, Pandas, Matplotlib
Basic Programming Exercises (AI-focused)

Module 7.2.4: Machine Learning Basics

What is Machine Learning?
Types: Supervised, Unsupervised, Reinforcement Learning
Common Algorithms: Linear Regression, KNN, Decision Trees
Train-Test Split & Model Evaluation

Module 7.2.5: Data Handling for AI

Data Collection and Cleaning
Data Preprocessing Techniques
Feature Selection & Engineering
Data Visualization with Matplotlib/Seaborn

Module 7.2.6: Introduction to Neural Networks

Basics of Neural Networks
Activation Functions
Forward & Backpropagation (Conceptual Level)
Introduction to TensorFlow / Keras

Module 7.2.7: AI Tools and Platforms

Google Colab & Jupyter Notebooks
Intro to Scikit-Learn
Basics of ChatGPT / OpenAI Playground
Overview of AutoML Tools

Module 7.2.8: AI Tools and Platforms

AI Bias and Fairness
Ethics in AI Development
AI in Society: Jobs, Education, Healthcare
Emerging Trends (AI + IoT, AI + Cloud, etc.)

Mini Project

Module-8 - SAP FICO Analyst & SAP S/4 HANA Finance with AI

Module 8.1 – SAP FICO Analyst

Module 8.1.1: Introduction

ERP & SAP Overview
SAP FICO role in financial operations
FI vs CO overview

Module 8.1.2: General Ledger (GL)

Organizational structure in FI
Chart of Accounts, Fiscal Year Variant
Document posting & posting keys
Recurring entries, Accrual/Deferral
Foreign currency & parallel ledgers
Financial reporting

Module 8.1.3: Accounts Payable (AP)

Vendor master data
Invoice posting, credit memo, down payments
Payment terms & Automatic Payment Program (APP)
Withholding Tax / TDS
Vendor reports

Module 8.1.4: Accounts Receivable (AR)

Customer master data
Invoice posting, credit memo, incoming payments
Dunning & interest calculation
Customer credit management
AR reports

Module 8.1.5: Asset Accounting (AA)

Asset master data
Acquisition, transfers, retirement
Depreciation keys & depreciation run
Integration with GL
Asset reports

Module 8.1.6: Controlling (CO)

Cost element accounting
Cost center accounting
Internal orders
Profit center accounting
Profitability analysis (CO-PA)
Product costing

Module 8.1.7: Controlling (CO)

Financial Closing Cockpit
Consolidation basics
Cash & Bank accounting
Integration with SD, MM, PP
Taxation (GST/VAT basics)

Module 8.2 – SAP FICO Analyst

Module 8.2.1: Overview of S/4HANA

Difference between SAP ECC vs S/4HANA
Data model simplification
Universal Journal (ACDOCA)
Business Partner approach

Module 8.2.2: General Ledger (GL) in S/4HANA

Ledger approach with multiple currencies
Real-time FI-CO integration
Universal Journal postings
Parallel accounting

Module 8.2.3: Accounts Payable in S/4HANA

Vendor as Business Partner
Invoice processing
Advanced Payment management
Integration with Treasury

Module 8.2.4: Accounts Receivable in S/4HANA

Customer as Business Partner
Cash application (Machine Learning)
Predictive collections
Real-time reconciliation

Module 8.2.5: Asset Accounting in S/4HANA

New depreciation calculation engine
Real-time postings to Universal Journal
Parallel valuation in assets

Module 8.2.6: Controlling in S/4HANA

Margin Analysis vs Costing-based CO-PA
Real-time CO reporting
Simplified cost elements

Module 8.2.7: Advanced S/4HANA Finance

Group Reporting (Consolidation)
Central Finance basics
Cash management & liquidity planning
Treasury & Risk management basics

Module 8.2.8: Reporting & Analytics

Fiori apps for Finance
Embedded Analytics with HANA
Real-time dashboards

Module 8.2.9: AI in Finance (Basic Layer)

SAP AI Business Services overview
Document Information Extraction (OCR for invoices)
Predictive Accounting in S/4HANA
AI-based Cash Forecasting
Chatbots

Find the Financial Analyst Course Duration Details below.

Duration of Module

Financial Analyst Course Module	Financial Analyst Course Duration
Financial Analyst	110-120 (Hours)

Batch Timings

Financial Analyst Course Schedule	Course Timing
Monday to Friday	8:00 AM – 10:00 AM
Monday to Friday	10:00 AM – 12:00 PM
Monday to Friday	2:00 PM – 4:00 PM
Monday to Friday	4:00 PM – 6:00 PM
Saturday/Sunday	8:00 \| 12:00 \| 2:00 \| 4:00
Sunday	8:00 AM – 10:00 AM
Sunday	10:00 AM – 12:00 PM
Sunday	2:00 PM – 4:00 PM
Sunday	4:00 PM – 6:00 PM

Download Financial Analyst Course Brochure

FAQ

Q1: Can I enroll in this course if I don't have a technical or finance background?

Q2: Is the training theoretical or practical?

Q3: Are the certifications recognized by the industry?

Q4: What are the primary job criteria to become a Financial Analyst, and what specific career roles can I pursue after completing the training?

Q5: What are the key tools and skills I will master?

Q6: How does SLA Consultants help with job placements?

Testimonials

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Rahul Pal

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