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featured Courses For Remote International Work , Executive Certificate Course (Live Classes)

Financial and Data Analytics

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HRS

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Duration - 6 Month, 8-10 hours/week

Course fee: - INR 63000

This course is recognized by the National Skill Development Corporation, a PPP under the Ministry of Skill Development and Entrepreneurship of the Government of India. You will receive a certificate cobranded by NSDC and Skill India on successful completion.

Syllabus

Finance and Accounting Foundations

ringIcon 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.

ringIcon Accounting Fundamentals

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

ringIcon 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

ringIcon 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

ringIcon Practical Skills: Practice analyzing real financial reports and creating forecasts using tools like Excel.

Sensitivity Analysis

ringIcon Introduction to sensitivity analysis: Definition, importance, and scope

ringIcon Key concepts: Variable sensitivity, scenario analysis, and simulation

ringIcon Implementing Sensitivity Analysis in Excel: Building models, data tables, scenario manager, and using Excel's built-in functions for sensitivity analysis

ringIcon 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

ringIcon Descriptive Statistics

Measures of central tendency,
variability
data distributions.

ringIcon Inferential Statistics

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

ringIcon Probability Distributions

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

ringIcon Regression Analysis

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

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

ringIcon gfdsd

Data Visualization and Business Intelligence Tools & Techniques

ringIcon Data Visualization Principles

Principles of effective data visualization
Visualization types

ringIcon How to use common visualisation tools in Excel & PPT

ringIcon Tableau Dashboards and Stories

ringIcon Power BI Reports and Visualization

ringIcon Business Intelligence Concepts

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

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

Investments and Portfolio Management

ringIcon 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.

ringIcon 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.

ringIcon 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.

ringIcon Financial Markets and Instruments

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

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

Data Mining and Machine Learning

ringIcon Data Preprocessing and Cleaning

Handling missing values,
Outliers
feature engineering

ringIcon Exploratory Data Analysis

ringIcon Supervised Learning algorithms

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

ringIcon Unsupervised Learning techniques - Model Evaluation and Optimization, Cross-validation, Hyperparameter tuning.

ringIcon Practical Skills: Wrangle data and build predictive models using Python or R libraries.

Storytelling with Data

ringIcon What

ringIcon How to Data Storytelling and Presentations

ringIcon Learn to effectively communicate your findings through compelling data presentations.

ringIcon Professional Portfolio Development

ringIcon Practical Skills: Collaborate on a group capstone project and present your portfolio to potential employers.

Career Prospects:

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