Data Science for Business

Via DataCamp

DataCamp based on 205 ratings

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Overview

"Data Science for Business" is designed to bridge the gap between data science techniques and their practical applications in business decision-making. This course introduces business professionals, managers, and aspiring data practitioners to the essential concepts and tools of data science that drive competitive advantage and innovation in today’s data-driven market. Participants will explore how to collect, analyze, and interpret data to uncover actionable insights that inform strategic planning, marketing, operations, and customer engagement. The course covers key topics such as data...

Syllabus

Introduction to Data Science

We'll start the course by defining what data science is. We'll cover the data science workflow, and how data science is applied to real-world business problems. We'll finish the chapter by learning about ways to structure your data team to meet your organization's needs.

Data Collection and Storage

Now that we understand the data science workflow, we'll dive deeper into the first step: data collection. We'll learn about the different data sources your company can draw from, and how to store that data once it's collected.

Analysis and Visualization

In this chapter, we'll discuss ways to explore and visualize data through dashboards. We'll discuss the elements of a dashboard and how to make a directed request for a dashboard. This chapter will also cover making ad hoc data requests and A/B tests, which are a powerful analytics tool that de-risk decision-making.

Prediction

In this final chapter, we'll discuss the buzziest topic in data science: machine learning! We'll cover supervised and unsupervised machine learning, and clustering. Then, we'll move on to special topics in machine learning, including time series prediction, natural language processing, deep learning, and explainable AI!