Data Analysis and Decision Making in Finance and Business.

This comprehensive course provides a deep dive into business analytics and intelligence, equipping you with essential skills to make informed decisions and drive strategic initiatives across various business domains. Through engaging lectures and practical exercises, you'll explore key concepts and tools spanning finance, open banking, marketing, operations management, and business intelligence.

Finance

• Data-Driven Decision Making: Learn to effectively describe and present data for informed decision-making in financial analysis.
• Historical Balance Sheet Analysis: Delve into analyzing historical balance sheets to uncover valuable insights into financial performance and trends.
• Value Added Tax (VAT) Preparation: Master the preparation of value added taxes to ensure compliance and optimize financial operations.
• Assets Visualization: Explore techniques for visualizing assets data to enhance understanding and facilitate better decision-making.
• Stock Market Analysis: Gain the skills to conduct rapid stock market analysis for timely investment decisions.
• Project Net Present Value (NPV): Learn how to calculate and evaluate the net present value of projects to assess their financial viability.

Open Banking

• Data Retrieval from European Central Bank: Explore methods for fetching data from the European Central Bank for insightful analysis.
• Exchange Rate Conversion: Learn to change the base currency of exchange rates for seamless cross-border transactions and financial analysis.
• Remote Data Transformation: Acquire techniques for transforming data remotely to meet specific business requirements.

Marketing

• Data Analysis Cycle: Understand the iterative process of data analysis and its powerful application in developing effective marketing strategies.
• Population Analysis: Analyze population data of different countries to inform targeted marketing strategies and effectively reach desired demographics.
• Customer Analysis: Learn to analyze customer data to identify patterns, preferences, and behavior for highly targeted marketing campaigns.

Operations Management

• Types of Digital Data: Explore various types of digital data and their critical significance in modern operations management.
• Fundamentals of Business Statistics: Gain a foundational understanding of business statistics and its vital role in data-driven decision-making.
• Optimal Raw Material Prediction: Learn to predict the optimal amount of raw materials required for efficient operations management.

Business Intelligence Tools

• Business Intelligence Fundamentals: Understand the crucial role of business intelligence in enhancing organizational decision-making and overall performance.
• Python for Data Analysis (Beginner): Introduction to Python programming for efficient data analysis and manipulation.
• Power BI Excel Query Creation: Learn to create powerful queries in Power BI using Excel data sources.
• Power BI Web Source Query Creation: Explore the process of creating queries in Power BI from various web sources.
• Power BI SQL Server Query Creation: Master the creation of queries in Power BI using SQL Server data sources.
• Extending Python in Power BI: Learn advanced techniques for extending Python scripts within Power BI for enhanced data analysis.

Appendix

• Descriptive Data Analysis: Explore techniques for descriptive data analysis to gain key insights into business operations.
• Venn Analysis: Understand the application of Venn analysis in identifying relationships and intersections within datasets.
• Stock Market API Integration: Learn to connect and retrieve real-time data from stock market APIs for immediate analysis.
• Statistical Measures: Gain proficiency in essential statistical measures like mean, median, percentile, standard deviation, and variance for comprehensive data analysis.
• Linear Regression: Explore the fundamentals of linear regression analysis and its application in predictive modeling.
• Advanced Linear Regression: Dive deeper into linear regression concepts for more complex predictive modeling scenarios.

This course offers a holistic approach to business analytics and intelligence, empowering participants with the knowledge and skills to drive organizational success through data-driven decision-making and strategic insights.