Online Financial Analytics Course
Boost your finance skills with data insights!
Ratings: 4.8 – 1500 reviews
Online Financial Analytics Course:
Our Financial Analytics Course equips you with essential analytical skills to make data-driven financial decisions. Learn key concepts such as financial modeling, forecasting, risk analysis, valuation techniques, data visualization, Excel for finance, SQL, Python for financial analysis, Power BI and financial dashboard reporting. Gain hands-on experience through expert-led sessions, case studies, and real-world projects.
Details
- Duration: 4 Months
- Live Sessions: 100+ Hours
- Qualification: Any Graduate/Fresher with Knowledge of Basics
- Weekly Classes: 4
- Mode of Classes: Online
- Course Curriculum: Yes (Digital Copy)
- Topics: Theory + Live Demo + Projects
- Language of Instruction: Odia, Hindi & English
- Certificate: Yes (Digital + Original Hard Copy)
- Materials: Yes (Digital Copy)
- Price:
₹17,999₹14,999 (EMIs Applicable. Contact: 08763026591)
N.B.: We start a new live batch on the first week of every month. For you to be a part of the upcoming batch, you must register beforehand.
Features of Financial Analytics Course:
Curriculum of Financial Analytics Course:
Module 1: Introduction to Financial Analytics
- Overview of Financial Analytics
- Importance and Applications in Business
- Key Concepts: Revenue, Profit, Costs, Cash Flow, Assets, Liabilities
- Tools and Technologies Used in Financial Analytics
Module 2: Financial Statements Analysis
- Understanding Balance Sheets, Income Statements, and Cash Flow Statements
- Ratio Analysis (Liquidity, Profitability, Efficiency Ratios)
- Vertical and Horizontal Analysis
- Case Studies on Real-World Financial Statements
Module 3: Data Collection and Cleaning
- Sources of Financial Data
- Data Cleaning Techniques
- Handling Missing or Inconsistent Data
- Preparing Data for Analysis
Module 4: Descriptive and Inferential Statistics for Finance
- Measures of Central Tendency and Dispersion
- Probability Distributions
- Hypothesis Testing
- Correlation and Regression Analysis
Module 5: Financial Forecasting and Modelling
- Time Series Analysis
- Trend Analysis and Seasonality
- Building Financial Models in Excel
- Scenario and Sensitivity Analysis
Module 6: Risk Analysis and Management
- Types of Financial Risks (Market, Credit, Operational)
- Value at Risk (VaR)
- Stress Testing and Monte Carlo Simulations
- Hedging Strategies
Module 7: Advanced Financial Analytics Tools
- Introduction to Python/R for Financial Analysis
- Data Visualization with Power BI/Tableau
- Automation of Financial Reports
- Building Interactive Dashboards
Module 8: Capstone Project and Assessment
- Real-World Financial Analysis Project
- Presentation of Findings and Insights
- Final Assessment (MCQ and Practical)
- Course Wrap-up and Certification
Do you want to take a Demo Class?
- : +91-8763026591
- : contact@vernacularmedium.com
Demo Class Form
(Fill out the Form. We will arrange a Demo Class for you.)
How does a Financial Analytics Course benefit you?
1. Strong Financial Decision-Making Skills:
- Understand financial data and trends.
- Make informed business and investment decisions.
- Reduce risks through data-backed insights.
2. Career Advancement Opportunities:
- Opens roles like Financial Analyst, Data Analyst, Risk Analyst.
- Increases employability across industries.
- Enhances promotion and salary growth potential.
3. Practical Industry Knowledge:
- Learn real-world financial tools and techniques.
- Work on case studies and live projects.
- Gain hands-on experience with financial datasets.
4. Expertise in Analytical Tools:
- Master tools like Excel, SQL, Python, and Power BI.
- Build interactive dashboards and reports.
- Perform advanced financial modeling and forecasting.
5. Improved Problem-Solving Abilities:
- Analyze complex financial scenarios.
- Identify patterns and business opportunities.
- Develop strategic thinking skills.
6. Professional Credibility & Certification:
- Earn industry-recognized certification.
- Strengthen your professional profile.
- Build trust with employers and clients.