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
Data Analytics for Managers at FutureLearn Course details
- 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?