Data-driven Decision Making

Go to Course: https://www.coursera.org/learn/decision-making

Introduction

**Course Review: Data-driven Decision Making on Coursera** In today’s data-centric world, the capacity to make informed decisions based on analytics rather than intuition is more invaluable than ever. The Coursera course titled **Data-driven Decision Making**, created by PwC, serves as an excellent primer for anyone looking to understand the fundamentals of data analytics and its application in business contexts. ### Course Overview **Data-driven Decision Making** aims to equip learners with foundational knowledge about data analytics, its evolution, and its critical role in business strategy. Over the course of several modules, participants will explore the intricacies of “Big Data,” learn data analysis techniques, and engage in a hands-on project that simulates real-world decision-making processes. ### Syllabus Breakdown 1. **Introduction to Data Analytics** - This module sets the stage by introducing the essentials of data analytics, emphasizing its significance in resolving business problems. Learners delve into how data analytics enhances decision-making and the various roles within data science. It also outlines a structured framework for conducting data analysis. 2. **Technology and Types of Data** - Here, learners are introduced to the concept of big data and its impact on modern businesses. The course explores different data types and how organizations leverage them to glean actionable insights. PwC's unique perspective provides valuable context regarding the implications of big data across industries. 3. **Data Analysis Techniques and Tools** - This module goes into detail about the tools and techniques employed in data analytics. The importance of data visualization—the art of presenting data in a visually comprehensible format—is also highlighted. Students will get to know several languages and software that facilitate effective data analysis, learning when and how to employ them. 4. **Data-driven Decision Making Project** - The capstone project allows learners to synthesize their knowledge by engaging in a simulated business scenario. Participants will analyze data, decide on the best course of action, and create a deliverable evaluated by peers. This practical element not only reinforces learning but also provides crucial experience in collaborative feedback. ### Review and Recommendations The **Data-driven Decision Making** course is highly recommended for anyone interested in harnessing the power of data in a business environment. Both novices and those with some experience in analytics will find value in its comprehensive, structured approach. The courses offered by PwC are crafted by industry experts, ensuring that the content is relevant and aligned with current business practices. **Pros:** - **Comprehensive Curriculum:** Covers all essential aspects of data analytics, from fundamental concepts to practical applications. - **Interactive Learning:** The inclusion of a peer-reviewed project allows participants to practice real-world application, enhancing the learning experience. - **Expert Insight:** Being developed by PwC, students gain access to industry-focused knowledge and perspectives. **Cons:** - **Auto-generated Transcripts:** As noted, video transcripts may contain errors, which could be an inconvenience for some learners who rely on them for clarity. - **Pacing:** Some materials may require additional time to absorb fully, depending on one's prior experience with data analytics. ### Conclusion In summary, if you're looking to build a solid foundation in data analytics and understand how to leverage data for better decision-making in business contexts, **Data-driven Decision Making** is an excellent choice. With its strong emphasis on practical application and peer collaboration, this course can significantly enhance your analytical skill set and prepare you for roles in an increasingly data-driven business landscape. Embrace the opportunity to learn from industry experts and take a substantial step forward in your professional journey!

Syllabus

Introduction to Data Analytics

In this module, you'll learn the basics of data analytics and how businesses use to solve problems. You'll learn the value data analytics brings to business decision-making processes. We’ll introduce you to a framework for data analysis and tools used in data analytics. Finally, we’re going to talk about careers and roles in data analytics and data science. Note: Video transcripts are auto generated and may contain spelling and punctuation errors.

This module is an introductory look at big data and big data analytics where you will learn the about different types of data. We’ll also introduce you to PwC's perspective on big data and explain the impact of big data on businesses. Finally we will name some of the different types of tools and technologies used to gather data.

In this module we will describe some of the tools for data analytics and some of the key technologies for data analysis. We will talk about how visualization is important to the practice of data analytics. Finally we will identify a variety of tools and languages used and consider when those tools are best used.

The course project will give you an opportunity to practice what you have learned. You will participate in a simulated business situation in which you will select the best course of action. You will then prepare a final deliverable which will be evaluated by your peers. Additionally, you will have the opportunity to provide feedback on your peer's submissions.