Data Visualisation: Prediction and Ethics in Data Analytics

Offered byFutureLearn

Data Visualisation: Prediction and Ethics in Data Analytics
at
FutureLearn
Overview

Duration	4 weeks
Total fee	₹900
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Data Visualisation: Prediction and Ethics in Data Analytics
at
FutureLearn
Highlights

Duration 4 weeks
Weekly study 4 hours
100% online Learn at your own pace

Data Visualisation: Prediction and Ethics in Data Analytics
at
FutureLearn
Course details

Skills you will learn

Data Modeling Software Testing Statistics Data visualization Data analysis Predictive modeling Forecasting

More about this course

Data visualisation is a great tool for predictive analysis and bringing statistical models to life within your organization.
You'll learn how to use your data to make business predictions and get to grips with the ethical issues that can arise in the process.
On this third course of the
, you'll explore statistical techniques and the importance of testing and refining the models that you use for data analysis.
These skills will open career opportunities for data professionals and across a range of industries as demand for strong data analytics and visualization skills grows.
Understanding the core mechanics of your predictive models is essential for testing and fine-tuning them. You'll review the ideas and theories that underpin your predictive analytics and learn to evaluate the effectiveness of each model.
Building a strong grasp of these theories means that you can interrogate your data more closely and find models that best suit your business, your customers, and the current markets.
Using and manipulating personal information comes with both ethical and legal considerations. You'll learn to identify those ethical issues, and how to articulate them to your business to ensure that you work within the law and your corporate social responsibility.
Upon completion of this course, the final in the ExpertTrack, you will not only feel confident in creating effective data visualizations but also in responding to challenges and ensuring your organization is complying with ethical and legal responsibilities around data handling.