Introduction to Business and Data Analysis

Overview

Introduction to Business and Data Analysis Course by MTF Institute of Management, Technology and Finance What you'll learn:

Important! Course focused to business needs and business meaning of analysis, not to usage of analytical software.Introduction to Business and Data AnalysisMain business goals of data analysisData types and sourcesExploratory Data AnalysisData Analysis in Business Welcome to course:

Introduction to Business and Data AnalysisImportant!

Course focused to business needs and business meaning of analysis, not to usage of analytical software.Its guideline to what questions you need to focus your efforts during analysis.Course provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas:

Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas:

Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.

MTF is the official partner of:

IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 208 countries and has been chosen by more than 450 000 students.Course Author:

Dr. Pedro Nunes has built a multifaceted career combining academia and practical business expertise.

His educational journey culminated with a Doctorate in Economic Analysis and Business Strategy with a cum laude mention from the University of Santiago de Compostela. Professionally, he has navigated through various sectors, including technology, international commerce, and consultancy, with roles ranging from business analyst to director.

Currently, Pedro serves as a Professor in several DBA programs, applying his extensive industry experience and academic insights to educate the next generation of professionals.Business and Data Analysis (BDA) is the practice of using data to understand, improve, and optimize business processes. It involves collecting, cleaning, analyzing, and interpreting data to uncover insights that can inform decision-making and drive strategic initiatives.Importance of Business and Data Analysis for BusinessBDA is essential for modern businesses due to several key reasons:

Data-Driven Decision Making:

BDA allows businesses to make informed decisions based on factual evidence rather than intuition or guesswork.

This leads to more effective strategies and better outcomes.Improved Efficiency:

By identifying bottlenecks and inefficiencies in processes, BDA can help businesses streamline operations and reduce costs.Enhanced Customer Experience:

Analyzing customer data can reveal preferences and pain points, enabling businesses to tailor products, services, and marketing campaigns to meet customer needs more effectively.Competitive Advantage:

Companies that leverage BDA can gain valuable insights into market trends, customer behavior, and competitor activities, giving them an edge in the marketplace.Risk Management:

BDA can help businesses identify and mitigate potential risks by analyzing historical data and forecasting future trends.Main Focuses of Analysis of Business DataThe main focuses of BDA can vary depending on the specific goals of the business. However, some common areas of analysis include:

Sales and Revenue:

Analyzing sales data to identify trends, understand customer buying behavior, and optimize pricing strategies.Marketing and Customer Acquisition:

Evaluating the effectiveness of marketing campaigns, identifying high-value customer segments, and improving customer acquisition and retention.Operational Efficiency:

Examining processes and workflows to identify areas for improvement, reduce costs, and enhance productivity.Financial Performance:

Analyzing financial data to track profitability, identify cost-saving opportunities, and make informed investment decisions.Risk Assessment:

Evaluating internal and external factors that could pose a risk to the business and developing strategies to mitigate those risks.How Building Skills in Business and Data Analysis Can Support Career DevelopmentDeveloping skills in BDA can significantly enhance career prospects in several ways:

High Demand:

Professionals with BDA expertise are in high demand across various industries, opening up a wide range of career opportunities.Career Advancement:

BDA skills can lead to promotions and increased responsibilities within an organization.Versatility:

BDA skills are transferable across different industries and functions, providing flexibility and adaptability in the job market.Entrepreneurial Opportunities:

Individuals with BDA skills can leverage their knowledge to start their own businesses or consulting practices.Problem-Solving Skills:

BDA develops critical thinking and problem-solving skills, which are valuable assets in any career.Business and Data Analysis is a critical tool for businesses to thrive in the data-driven world.

By harnessing the power of data, organizations can make informed decisions, improve efficiency, enhance customer experiences, and gain a competitive edge. Building skills in BDA can open up exciting career opportunities and provide a solid foundation for professional growth.

Syllabus

• Introduction to Business and Data Analysis
Course Overview and Learning Objectives
Importance of Data Analysis in Business
• Fundamentals of Business Analysis
Key Concepts in Business Analysis
Types of Business Analysis
Understanding Business Goals and Objectives
• Data Analysis Basics
Introduction to Data and Data Types
Data Collection Methods
Data Cleaning and Preparation
• Tools and Technologies for Data Analysis
Overview of Data Analysis Tools
Introduction to Excel for Data Analysis
Basics of SQL for Data Management
• Descriptive Statistics and Data Visualization
Understanding Descriptive Statistics
Techniques for Data Visualization
Use of Software for Data Visualization (e.g., Tableau, Power BI)
• Introduction to Statistical Analysis
Basic Statistical Concepts
Hypothesis Testing
Regression Analysis
• Business Intelligence and Decision-Making
Concepts of Business Intelligence
Data-Driven Decision Making
Case Studies and Examples
• Introduction to Data Analysis with Python
Basics of Python for Data Analysis
Libraries: NumPy, Pandas
Performing Basic Data Analysis in Python
• Real-world Applications of Data Analysis in Business
Analyzing Market Trends
Customer Behavior Analysis
Operational and Financial Analysis
• Final Project and Presentation
Project Guidelines and Expectations
Data Analysis Project Using Real-world Data
Presentation of Findings and Recommendations
• Course Review and Future Directions
Key Takeaways from the Course
Next Steps in Business and Data Analysis Learning

Taught by

MTF Institute of Management, Technology and Finance

Subjects

Data Science