Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This bootcamp will provide a comprehensive understanding of Business Analysis, integrating Python and Power BI to drive actionable insights in business decisions. From defining business analysis principles to applying advanced techniques using Python and Power BI, learners will develop core analytical skills to evaluate data, solve business problems, and forecast future trends. Throughout the course, learners will explore essential topics such as process mapping, risk management, and prioritization techniques. The journey begins with understanding the basics of business analysis and progresses towards applying data-driven insights using advanced analytics tools. You'll also learn to use Python for business insights and leverage Power BI for data visualization, making data analysis more interactive and insightful. The course is ideal for aspiring business analysts, professionals looking to level up their skills, or anyone interested in integrating data science with business decision-making. Some familiarity with data concepts is recommended, but no prior experience with Python or Power BI is necessary. By the end of the course, you will be able to conduct business analysis, apply Python for business insights, analyze data with Power BI, and effectively communicate findings to stakeholders.

Syllabus

Starting with the Basics

In this module, we will introduce the foundational concepts of Business Analysis (BA), exploring its scope and differentiating it from Data Analysis. You’ll learn how BA applies to software development and other industries, and the importance of storytelling in conveying complex ideas. The module covers the entire BA process, including steps, case studies, and managing biases in decision-making.

Business Analysis

In this module, we will dive into the foundational practices of Business Analysis. You will learn how to create a project charter, map business processes, and apply elicitation techniques to gather critical requirements from stakeholders. By the end of the module, you will be equipped with the tools to initiate and structure successful business analysis projects.

Understanding the Data

In this module, we will focus on understanding data to derive meaningful insights. You'll learn how to choose the right metrics to represent business reality and uncover key relationships, risks, and patterns within the data. By comparing actual vs. expected performance, you will be able to make informed decisions and anticipate future outcomes for effective planning.

Problem Solving Approaches

This module focuses on problem-solving approaches in Business Analysis. You will explore the crucial concepts of cause and effect and learn to identify root causes of issues, not just symptoms. Additionally, you will learn how to use the Pareto Principle to prioritize business challenges and focus on the most impactful problems that require your attention.

Applying Python for Business Insights

In this module, we will explore the power of Python for business analysis. You will learn how Python can transform raw data into actionable business insights and apply it to analyze cause-and-effect patterns in your data. This section provides the tools to enhance your analysis capabilities, enabling you to make data-driven decisions with Python.

Data Analysis Using Power BI

In this module, you will learn how to use Power BI for data analysis. You will go through the steps of downloading, transforming, and visualizing data using various Power BI tools. Additionally, you will learn how to create impactful dashboards and publish reports to effectively share business insights with stakeholders.