India & international online classes · Mon–Fri, 9 AM–7 PM IST+91 93900 23585info@learnai.co.in
Learn. Practise. Apply.

Financial Analytics
Course at LearnAI

Explore financial analytics through a 13-module curriculum and 5 project topics. Learn to analyse revenue, expenses, profitability, budgets and cash flow. Build reporting and data preparation skills with Power BI, SQL, Python, statistics and ETL, then explore financial KPIs, forecasting, working capital and risk analytics.

Online India & worldwideClassroom Learn at a branchHybrid Online + classroom
Branches: Hyderabad · Guntur · Kurnool
Online: USA, Canada, UK, Australia, New Zealand and Germany

Ask about your preferred mode, branch and upcoming batch.

Illustration of data analysis and dashboards

Upcoming Financial Analytics batches

Contact LearnAI for the next batch. Ask on WhatsApp.

View all upcoming batches

13 modulesFoundations to applied learning
5 project topicsDomain practice and a capstone
3 training modesOnline · Classroom · Hybrid
Talk to LearnAIFees, duration and batch details
Understand the programme

Learn Financial Analytics through practical study.

Learn to analyse revenue, expenses, profitability, budgets and cash flow. Build reporting and data preparation skills with Power BI, SQL, Python, statistics and ETL, then explore financial KPIs, forecasting, working capital and risk analytics.

Your willingness to learn comes first

Who can join?

Build new skills or upgrade your technology knowledge. LearnAI welcomes students pursuing a degree, graduates, working professionals and learners from relevant domains.

Basic computer knowledge

Basic computer knowledge is recommended to help you participate in practical learning.

Students and professionals

Join while pursuing a degree, after graduation, or to develop skills for your relevant domain.

No prior technology knowledge required

You can begin without previous knowledge of the course technology. Bring your interest and willingness to learn.

No age limit

Learners of all ages are welcome. Learners under 18 should enrol with a parent or guardian’s consent.

What the curriculum develops

Skills you will practise.

Build financial dashboards

Report revenue, costs, budgets and profitability in Power BI.

Prepare finance datasets

Query and clean data with SQL, Python and ETL.

Analyse financial performance

Study margins, variance, return and business KPIs.

Explore budgets and forecasts

Compare actuals with budgets and study scenarios.

Investigate working capital

Analyse cash flow, liquidity, receivables and payables.

Communicate financial findings

Present analytical results through dashboards and storytelling.

The complete learning path

Financial Analytics course curriculum.

Explore all 13 modules. Open a module to view its topics, and discuss the delivery plan for your batch.

01 / Analytics tools and foundations

MODULE 01Power BI & Data Visualization
  • Business Intelligence Fundamentals
  • Power BI Desktop
  • Data Connections
  • Power Query
  • Data Transformation
  • Data Modeling
  • Table Relationships
  • DAX Fundamentals
  • Calculated Columns & Measures
  • Interactive Dashboards
  • Drill-Down & Drill-Through
  • Publishing & Sharing Reports
MODULE 02SQL for Data Analytics
  • Database Fundamentals
  • Relational Databases
  • SQL Queries
  • Filtering & Sorting
  • Aggregate Functions
  • Group By & Having
  • Joins
  • Subqueries
  • Common Table Expressions
  • Window Functions
  • Views
  • Data Extraction & Manipulation
  • SQL for Business Reporting
MODULE 03Python for Data Analytics
  • Python Fundamentals
  • Variables & Data Types
  • Conditions & Loops
  • Functions
  • Data Structures
  • File Handling
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • DataFrames
  • Data Manipulation
  • Data Visualization
MODULE 04Statistics for Data Analytics
  • Descriptive Statistics
  • Mean, Median & Mode
  • Variance & Standard Deviation
  • Probability Fundamentals
  • Probability Distributions
  • Sampling Techniques
  • Correlation Analysis
  • Hypothesis Testing
  • Confidence Intervals
  • Regression Fundamentals
  • Statistical Interpretation
MODULE 05Data Processing & ETL
  • Data Collection
  • Data Investigation
  • Data Profiling
  • Data Quality Assessment
  • Missing Value Treatment
  • Duplicate Handling
  • Outlier Detection
  • Data Cleaning
  • Data Wrangling
  • Data Transformation
  • Data Integration
  • Feature Engineering
  • ETL Pipelines
  • Data Validation

02 / Domain foundations

MODULE 06Financial Analytics Fundamentals
  • Finance Industry Overview
  • Types of Financial Analytics
  • Financial Data Sources
  • Financial Statements Overview
  • Income Statement
  • Balance Sheet
  • Cash Flow Statement
  • Financial KPIs
  • Financial Analytics Lifecycle
  • Finance Use Cases
MODULE 07Financial Data Management
  • Financial Data Structure
  • Revenue Data
  • Expense Data
  • Cost Data
  • Sales Data
  • Budget Data
  • Forecast Data
  • Accounts Receivable
  • Accounts Payable
  • Financial Data Integration
  • Data Quality
  • Compliance & Governance
MODULE 08Revenue & Cost Analytics
  • Revenue Analysis
  • Sales Trend Analysis
  • Expense Analysis
  • Cost Structure Analysis
  • Margin Analysis
  • Profit & Loss Analysis
  • Variance Analysis
  • Budget vs Actual
  • Department-Wise Analysis
  • Financial KPI Dashboards

03 / Advanced analytics

MODULE 09Profitability & Performance Analytics
  • Gross Profit Analysis
  • Net Profit Analysis
  • Contribution Margin
  • ROI Analysis
  • Department Performance
  • Product/Service Profitability
  • Trend Analysis
  • Profitability Dashboard
MODULE 10Budgeting & Forecasting Analytics
  • Budget Analysis
  • Forecasting Basics
  • Actual vs Budget
  • Variance Tracking
  • Revenue Forecasting
  • Expense Forecasting
  • Scenario Analysis
  • Forecast Dashboard
MODULE 11Cash Flow & Working Capital Analytics
  • Cash Inflow / Outflow
  • Cash Flow Trends
  • Working Capital Analysis
  • Accounts Receivable Analysis
  • Accounts Payable Analysis
  • Liquidity Metrics
  • Operating Cycle
  • Cash Flow Dashboard
MODULE 12Investment & Risk Analytics
  • Investment Analytics Basics
  • Return Analysis
  • Risk Analysis
  • Portfolio Basics
  • Ratio Analysis
  • Break-even Analysis
  • Sensitivity Analysis
  • Financial Risk Dashboard
MODULE 13Predictive Financial Analytics
  • Predictive Analytics Introduction
  • Financial Feature Engineering
  • Revenue Prediction
  • Expense Prediction
  • Cash Flow Forecasting
  • Profitability Forecasting
  • Risk Prediction
  • Model Evaluation
  • Predictive Dashboard
Your technical toolkit

Tools and technologies in the curriculum.

Power BISQLPythonPandasNumPyMatplotlibSeabornPower QueryDAX
Apply the learning

5 Financial Analytics project topics.

Ask about the learning datasets, project selection, guidance and delivery for your batch.

Revenue Analytics Dashboard

Explore revenue trends, sales performance and KPIs.

Budget vs Actual Dashboard

Analyse budget comparisons, variances and performance.

Profitability Analysis Dashboard

Explore margins, profit and cost-performance insights.

Cash Flow Analytics Dashboard

Track inflows, outflows, receivables and payables.

End-to-End Financial Analytics Capstone

Combine SQL, Python, ETL, statistics and Power BI in a financial analytics project.

Choose how you learn

Financial Analytics training near you and online.

Online training

Join from India, the USA, Canada, UK, Australia, New Zealand and Germany. Confirm your batch and time-zone schedule.

Classroom training

LearnAI branches: Dilsukhnagar, Hyderabad; Gardens, Guntur; Main Road, Kurnool. Confirm this course, batch and exact address before visiting.

Hybrid training

Discuss combined online and classroom participation at your preferred branch. Confirm the delivery arrangements for your batch.

Fees, duration, prerequisites and upcoming batches are available on enquiry.

Learn with professional guidance

Experienced trainers. Practical knowledge.

Working professionalsIndustry knowledge connected to practical learning
Relevant expertiseSubject knowledge and practical experience
Experienced trainersGuidance for concepts, tasks and project work

LearnAI’s core trainer team is supported by additional and part-time trainers. Trainer assignments and relevant experience vary by course, branch, training mode and batch availability. Experience figures refer to professional experience, not years of teaching.

For your batch’s trainer details, contact LearnAI.
Plan your next step

Career directions and learning support.

Roles to explore

Career directions listed in the brochure. Entry requirements depend on the role, employer and your background.

Financial Data AnalystFinance AnalystRevenue AnalystBudget AnalystFinancial Reporting AnalystFP&A AnalystMIS AnalystBusiness AnalystJunior Data AnalystOperations Analyst

Discuss career assistance

Ask about resume preparation, ATS compatibility, job-description matching, cover letters, interview practice, job discovery and application support. Confirm current availability and what is included with your enrolment.

Enrolled students receive access details for their applicable LearnAI learning and career assistance applications.

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Before you enrol

Financial Analytics course questions.

Review the curriculum and ask for current delivery and enrolment details.

What does the LearnAI Financial Analytics Course cover?

The curriculum has 13 modules. Learn to analyse revenue, expenses, profitability, budgets and cash flow. Build reporting and data preparation skills with Power BI, SQL, Python, statistics and ETL, then explore financial KPIs, forecasting, working capital and risk analytics.

Which tools and technologies are included?

The curriculum lists Power BI, SQL, Python, Pandas, NumPy, Matplotlib, Seaborn, Power Query, DAX. Ask LearnAI about software setup and any tool accounts required for your batch.

Which projects are listed?

Project topics include Revenue Analytics Dashboard, Budget vs Actual Dashboard, Profitability Analysis Dashboard, Cash Flow Analytics Dashboard, End-to-End Financial Analytics Capstone. Confirm datasets, guidance and project selection with LearnAI.

Are Power BI, SQL and Python included?

Yes. The first five modules cover Power BI, SQL, Python, statistics and data processing with ETL. These foundations are followed by financial analytics specialization topics.

Can I join online from outside India?

Yes. LearnAI offers online classes for learners in India and abroad, including the USA, Canada, UK, Australia, New Zealand and Germany. Ask about Financial Analytics batch availability and your time-zone schedule.

Where can I attend classroom or hybrid training?

LearnAI branches are in Dilsukhnagar, Hyderabad; Gardens, Guntur; and Main Road, Kurnool. Confirm Financial Analytics availability, delivery mode and the exact address before visiting.

What are the fees, duration and prerequisites?

Contact LearnAI on WhatsApp at +91 93900 23585 for current fees, duration, prerequisites and batch details. Share your background and preferred training mode.

What career assistance can I ask about?

Discuss resume support, job-description matching, interview practice, job discovery and application assistance. Confirm current availability and enrolment terms with LearnAI.

Discuss your learning goals

Ready to explore Financial Analytics?

Share your background, preferred training mode, branch or country, and time zone.

Mon–Fri · 9 AM–7 PM IST · +91 93900 23585 · info@learnai.co.in

Chat with LearnAI ↗

What your course includes

Course charges cover

  • Live classes with a trainer
  • Doubt sessions
  • Assignments
  • Exams
  • Recordings
  • Portal access
  • Project assignment
  • Project explanation

Complimentary services

  • Resume writing
  • Mock interviews
  • Interview preparation
  • 100% job assistance

Job assistance does not guarantee a job offer.

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