Programmes

Data Analysis for Management

  • Online certificate course
  • Department of Management
  • Application code OCC-DAM
  • Starting 2018
  • Short course: Open
  • Location: Global

It has been estimated that organisations experience a 5% increase in productivity and become 6% more profitable than their competitors when they lead with data-driven business decisions.*

As the world becomes ever more data-driven, analytical skills are in high demand but very short supply. This eight-week Data Analysis for Management course equips you with the skills to give your organisation a competitive advantage in any industry by using data to make decisions, extract business insights, and predict future trends.

Guided by LSE experts, this eight-week online course provides you with the theoretical knowledge and practical skills to understand, interpret and communicate data relevant to your role and organisation. You’ll learn to use Tableau - the industry standard software used worldwide - to visualise and report on specific insights extracted from data sets.

 You’ll also complete a capstone project, demonstrating your ability to assess, summarise, and report on data-driven insights, and earn a certificate from the LSE to validate your newfound data analytics skills.

 *Harvard Business Review


CPD Certified

This course is certified by the United Kingdom CPD Certification Service, and may be applicable to individuals who are members of, or are associated with, UK-based professional bodies. The course has an estimated 70 hours of learning. 

Note: should you wish to claim CPD activity, the onus is upon you. The London School of Economics and Political Science (LSE) and GetSmarter accept no responsibility, and cannot be held responsible, for the claiming or validation of hours or points.

Programme details

Key facts

Registrations close: 13 November 2018

Course starts: 21 November 2018

Module 1 starts: 28 November 2018

Duration: 8 weeks (excluding orientation)

Commitment: 7 - 10 hours per week

Fee: £ 1,900

Course outcomes

  • Gain data analysis skills that you can directly apply in your role and organisation, and develop an understanding of how data-driven models can improve your ability to make smarter, more impactful decisions in a fast-paced and uncertain world

  • Learn to assess the reliability of data, extract strategic business insights, and use modelling to predict future trends

  • Develop data visualisation skills with which to clearly communicate your findings to all stakeholders

  • Complete a capstone project to demonstrate your ability to apply your learning and leverage data for insights to inform business strategy and gain a competitive advantage

Programme structure

  • Orientation Module

  • Module 1: Decision-making under uncertainty

  • Module 2: Data visualisation and descriptive statistics

  • Module 3: Quantifying risk through probability

  • Module 4: Data integrity and statistical inference

  • Module 5: Evidence-based decisions

  • Module 6: Understanding the causes of things

  • Module 7: Time series forecasting

  • Module 8: Delivering insights through storytelling   

Faculty

Convenor: Dr James Abdey - Assistant Professorial Lecturer in Statistics at LSE

Prerequisites

There are no formal prerequisites for this course, but some numerical literacy is advantageous, as well as basic working knowledge of Microsoft Excel.

You will be granted a student license to download and use Tableau free of charge for the duration of the course.

Teaching

This course is presented entirely online, in collaboration with leaders in online education, GetSmarter.

Modules are released on a weekly basis, and can be completed in your own time and at your own pace.

This interactive, supportive teaching model is designed for busy professionals and results in unprecedented certification rates for online courses.

Reading materials

All reading materials for this course will be made accessible to you through the Online Campus. Notes for each module are often downloadable, and you are able to save any information or collateral you use to your personal profile.

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