After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
Learn to Use Data Science for Business
What is data science, and how can you use it to strengthen your organization? This course will teach you about the skills you need on your data team and how you can structure that team to meet your organization's needs.This course will also provide you with an understanding of data sources your company can use and how to store, analyze, and visualize that data.
Understand the Data Science Workflow
You’ll start with an introduction to data science for businesses, looking at the data science workflow and how to apply it to real-world problems. You’ll also explore how data collection works, looking at how you can source and store data.Learn to Analyze and Visualize Your Data
You'll also discover ways to analyze and visualize your data through dashboards and A/B tests. To wrap up the course, we'll discuss exciting topics in machine learning, including clustering, time series prediction, natural language processing (NLP), deep learning, and explainable AI.Along the way, you'll learn about a variety of real-world applications of data science and gain a better understanding of these concepts through practical exercises.
This is an ideal introduction to data science for managers, giving you the chance to learn about this powerful business tool.
Prerequisites
There are no prerequisites for this course
Curriculum
Course outline
1
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.
- What is Data Science?50 XP
- Customer Segmentation Workflow100 XP
- Building a customer service chatbot100 XP
- Improving OKRs50 XP
- Applications of Data Science50 XP
- Assigning data science projects100 XP
- Investment research50 XP
- Building a data science team50 XP
- Interpreting a team sprint50 XP
- Editing a job posting50 XP
- Matching skills to jobs100 XP
- Classifying data tasks100 XP
2
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.
3
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.
4
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!
R
Data Science for Business
Course
Complete
