Syllabus

FINANCE AND ACCOUNTING FOUNDATIONS

Financial Principles and Concepts

Fundamental financial concepts such as profit, loss, investments, and assets. Understand the significance of time in financial transactions and how risk influences investment returns.

Accounting Fundamentals

Essentials of accounting, covering topics like maintaining accurate financial records, understanding accounting equations, and recording transactions to maintain financial transparency.

Financial Statement Analysis

Proficiency in analyzing financial statements including income statements, balance sheets, and cash flow statements. Learn to interpret these statements to evaluate a company's financial performance and stability.

BUDGETING AND FORECASTING

Master the art of budget creation and financial forecasting. Explore techniques for creating budgets, predicting future financial scenarios, and conducting scenario analysis to prepare for various bus Practical Skills: Practice analyzing real financial reports and creating forecasts using tools like Excel.

SENSITIVITY ANALYSIS

Introduction to sensitivity analysis: Definition, importance, and scope Key concepts: Variable sensitivity, scenario analysis, and simulation Implementing Sensitivity Analysis in Excel: Building models, data tables, scenario manager, and using Excel\'s built-in functions for sensitivity analysis Case Studies: Real-world examples of sensitivity analysis in investment appraisal, capital budgeting, and portfolio management

IMPORTANT STATISTICS FOR DATA ANALYSIS IN FINANCE & OTHER BUSINESS DEPARTMENTS

Descriptive Statistics

Measures of central tendency,
variability
data distributions.

Inferential Statistics

Techniques for making predictions and inferences
Sampling, estimation, and hypothesis testing

Probability Distributions

Normal, binomial, and Poisson distributions, and their applications in data analysis.

Regression Analysis

Practical Skills: Implement statistical tests and regression models using programming languages like Python or R.

Practical Skills: Implement statistical tests and regression models using programming languages like Python or R. gfdsd

DATA VISUALIZATION AND BUSINESS INTELLIGENCE TOOLS & TECHNIQUES

Data Visualization Principles

Principles of effective data visualization
Visualization types

How to use common visualisation tools in Excel & PPT Tableau Dashboards and Stories Power BI Reports and Visualization Business Intelligence Concepts

Understand concepts behind business intelligence systems, including BI architecture, data warehousing, and OLAP cubes.

Practical Assignment: Develop interactive dashboards using Tableau and Power BI.

INVESTMENTS AND PORTFOLIO MANAGEMENT

Investment Theories and Strategies

Theories and strategies for making investment decisions. Understand modern portfolio theory, the capital asset pricing model, and various investment styles to effectively manage investment portfolios.

Portfolio Analysis and Optimization

Analyze investment portfolios, calculate returns, and assess risks to optimize portfolio performance. Discover strategies for diversification and risk management to achieve investment objectives.

Risk Management

Different types of investment risks and strategies for mitigating them. Explore hedging techniques and risk management strategies to protect investments from market volatility.

Financial Markets and Instruments

Overview of financial markets and the various financial instruments traded within them, including equities, debt, and derivatives.

Practical Skills: Practice building optimal investment portfolios and assessing risks using tools like Excel and Python.

DATA MINING AND MACHINE LEARNING

Data Preprocessing and Cleaning

Handling missing values,
Outliers
feature engineering

Exploratory Data Analysis Supervised Learning algorithms

Supervised learning algorithms for regression and classification tasks, including linear and tree-based models.

Unsupervised Learning techniques - Model Evaluation and Optimization, Cross-validation, Hyperparameter tuning. Practical Skills: Wrangle data and build predictive models using Python or R libraries.

STORYTELLING WITH DATA

What How to Data Storytelling and Presentations Learn to effectively communicate your findings through compelling data presentations. Professional Portfolio Development Practical Skills: Collaborate on a group capstone project and present your portfolio to potential employers.

CAREER PROSPECTS:

Financial analyst, investment analyst, data analyst, business intelligence developer, data scientist, portfolio manager, and other finance/analytics roles.

Course Plan

Above prices are inclusive of all applicable taxes and charges.

Standard

RS. 63000 incl. of all charges

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- 1 online live class/ week

- 2 practical or drafting exercises per week

- Get digital access to entire study material

- Access on LMS, Android & iOS app

- Instructor feedback on assignments

- Unlimited doubt clearing sessions.

- Instructor led course with online live classes

- Online exams (give exams as per your convenience on given time slots)

- Certificate (by courier)

- CV enhancement

- Coaching for professional networking

- Training for writing and publishing articles

- Internship & Job Support

- Interview preparation guidance

- Access to updated content online for 3 years

- Top students are recommended to law firms and companies (as applicable)

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Financial and Data Analytics

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