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Data Analytics for Managers 

  • Offered byFutureLearn

Data Analytics for Managers
 at 
FutureLearn 
Overview

Duration

6 weeks

Total fee

2,763

Mode of learning

Online

Credential

Certificate

Data Analytics for Managers
 at 
FutureLearn 
Highlights

  • Earn a certificate upon completion
Details Icon

Data Analytics for Managers
 at 
FutureLearn 
Course details

More about this course
  • In this six-week course from the University of Adelaide, you’ll develop your knowledge of how data analysts operate in business environments
  • You’ll learn how to explain data analysis processes, identify trends, and develop data-informed business solutions
  • In this course, you’ll be introduced to the basics of data analysis, equipping you with the skills to work alongside your data science team to derive meaning from data and capitalise on the data analytical skills of your workforce
  • Using engaging case studies, you’ll learn to apply cutting-edge data processing techniques to solve common business problems and discover new patterns in data

Data Analytics for Managers
 at 
FutureLearn 
Curriculum

Introduction to data analytics

Getting Started

Introduction to Week 1

What is data analytics?

What are the roles and responsibilities in a data analytics team?

What are the different types of data analytics techniques?

What is the data analytics process?

Assessment

Bringing it all together

Discovering new patterns in data to transform your business

Introduction to Week 2

Strategies in using new data patterns to transform your business

What is a cluster? Similarity and distance measures

The k-means clustering algorithm

Optimising your clustering analysis with the elbow method

Limitations of k-means clustering analyses

Assessment

Bringing it all together

Making predictions using your data to solve business problems

Introduction to Week 3

Simple linear and non-linear regressions

Complex linear and non-linear regressions

Non-linear regression with neural networks

Overfitting

Assessment

Bringing it all together

Predicting the category of data points to solve business problems

Introduction to Week 4

K-nearest neighbours

Decision trees and random forests

Assessment

Bringing it all together

The power of shopping basket analysis

Introduction to Week 5

Association Rules

The Apriori algorithm

Assessment

Bringing it all together

What are your influencers?

Introduction to Week 6

Basics of networks

Network metrics

Assessment

Bringing it all together

What's next?

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Data Analytics for Managers
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