Queen Mary University of London Courses

Influencing the Organisation

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, you will look at how you can effectively manage stakeholders and industry/organisational politics, whilst successfully mobilising people. You will: – Consider how to build momentum and how to work across organisational, sectoral and country cultures. – Explore how you can align your mission with the organisation’s purpose and manage the politics to influence the organisation. – Look at how to lead in a matrix/complex structure as well as how to make your changes real.This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly. Learners will likely have a technical or professional early career but as they are progressing in their careers, they are having to start grappling with the issues of team and organisationalleadership.By the end of this course, you will be able to: – Work across organisational boundaries and engage with a wider group of stakeholders. – Navigate the realpolitik of their wider organisation and understand the importance of engaging with the political dynamic. – Extend and leverage your networks to be better positioned for the next phase of your career. – Identify levers for change and how best to utilise these in order to increase the possibility that your initiatives and programmes will be adopted.

Data Analytics for Decision Making

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Learn the fundamental principles of data analytics, working through practical programming exercises in Python to solve basic data analytic problems alongside world-leading experts.Get data analytics training that mattersFrom transport to healthcare to shopping, everyday activities are increasingly leaving digital footprints that are transforming the workplace. Data analytics is the study of this ‘big data’.While the world is becoming ever more data-driven, many employers are increasingly searching for people with the analytical skills who can help them make sense of it by gaining insights and knowledge from the datasets that are generated around us. This is where data scientists come in.Are data analytics jobs in demand?Demand for workers with specialist data skills like data scientists and data engineers has more than doubled over five years (+231%) and demand shows no sign of slowing down.This is a highly in-demand jobs market, with new roles opening all the time.Boost your data science career potentialAlongside world-class computer science experts from Queen Mary, on this microcredential you’ll learn the process for collating and cleansing data. You’ll discover how to interpret and communicate data to others and gain valuable insights to inform your decision-making process.You’ll also explore the essential ethical and legal issues that need to be considered when generating, analysing, and disseminating data.Gain data analytics certificationUltimately, you’ll come away with the accredited skills you need to apply for roles as a data scientist, or to enhance your current organisation’s capacity to interpret and manage data to solve complex problems and predict future trends.

Reshaping Consumer Search

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, you will focus on reshaping digital consumer search. In particular, you will gain an understanding of digital marketing strategy planning and development. By the end of this course, you will have developed your understanding of key topics such as; theimportance of a digital marketing strategy, the effects of digital disruptors, SWOT analysis in digital marketing, segmentation, targeting and positioning as well as the role of the marketing mix in digital marketing strategy.Throughout the course, you will be prompted to consider how the topics relate to a company or brand of your choosing. You will be asked to analyse how successfully the company has implemented these topics and identify areas that can be improved. You will have the opportunity to apply your knowledge by creating your own digital marketing strategy plan in the end-of-course assignment. Completing this course will count towards your learning in the Digital Consumer Search and Marketing Specialization.

Getting Started with Leadership

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, you will discover the importance of understanding context and its impact on the individual as a leader. You’ll consider how you define leadership and explore how organisations work through an exploration of the “what” and “why” of your own working environment. You will also look at who stakeholders are and their important role in today's business, before discussing the differences between leadership and management, and the importance of credibility.This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly. A majority of those taking this course will have a technical or professional early career, but are progressing professionally so are starting to grapple with the issues of team and organisational leadership.By the end of this course, you will be able to: – Describe the context in which your organisation operates. – Identify common challengesrelated to leadership. – Explain how leadership is impacted by the nature of how organisations are structured in order to deliver their goods or services. – Identify the key stakeholders in your leadership constellation. – Work effectively with your key stakeholders. – Explain the difference between leadership and management.Many topics covered in the course are also explored in the instructors book How to Lead Smart People (Mike Mister and Arun Singh, Profile Books 2019).

Reimagining Consumer Experience

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, you will focus on the implementation and practice of a connected digital marketing strategy. By the end of this course, you will have developed your understanding of key topics such as: Marketing automation and conflict in online communities, the sales funnel, search engine marketing and management, Search Engine Optimization (SEO), Paid search marketing, online partnerships and affiliate marketing.You will have the opportunity to discuss email marketing and mobile messaging, viral marketing, direct marketing and traffic building with your fellow learners. Throughout the course, you will be prompted to consider how the topics relate to a company or brand of your choosing. You will be asked to analyse how successfully the company has implemented these topics and identify areas that can be improved. In the end-of-course assignment, you will relate your knowledge in a real-life context with an analysis of a company’s successful digital marketing strategy. Completing this course will count towards your learning in the Digital Consumer Search and Marketing Specialization.

Stepping Up: Preparing Yourself for Leadership

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, you will explore the importance of self awareness and feedback, as well as issues such as bias and imposter syndrome. As a leader, it is important to know when to step in and lead,as well as how to establish boundaries and resolve conflict. This course will equip you with these fundamental leadership skills and will also help you develop your ability to influence others (including your “boss”), measure your impact and enhance your resilience.This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly. A majority of those taking this course will have a technical or professional early career, but are progressing professionally so are starting to grapple with the issues of team and organisational leadership.By the end of this course, you will be able to: – Identify how you are perceived by your colleagues as leaders. – Make better decisions about when to step in, and when to stand back, as a leader and how to work with conflict as a productive force. – Explain how to lead and support your boss to both achieve your goals in your respective leadership positions. – Manage your energy to be seen as a positive, influential leader.

Foundations of Digital Consumer Search and Marketing

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course will develop your understanding of the fundamentals of digital marketing and how it transformed the marketing landscape. By the end of this course, you will have developed your understanding of key topics such as: the fundamentals of content marketing, digital consumer engagement, journey mapping, lifecycle and value proposition.You will also have the opportunity to discuss topics such as digital consumer experience management, competitor benchmarking and creating a digital customer journey map with your peers. Throughout the course, you will be prompted to consider how the topics relate to a company or brand of your choosing. You will be asked to analyse how successfully the company has implemented these topics and identify areas that can be improved. In the end-of-course assignment, you will reflect on the key points from this course, and consider how they can be applied in a real-life context. Completing this course will count towards your learning in the Digital Consumer Search and Marketing Specialization.

Topics in Applied Econometrics

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, you will discover models and approaches that are designed to deal with challenges raised by the empirical econometric modelling and particular types of data. You will: – Explore the motivations of each approach by means of graphs, preliminary statistics and presentation of economic theories – Discuss the problem of identification of the parameters, and how to address this problem by modelling simultaneous equations and causality in economics. – Examine the key features of panel data, and highlight the advantages and disadvantages of working with panel data rather than other structures of data. – Learn how to choose what econometric specification to adopt by introducing the test for poolability and the Hausman tests. – Discuss models for probability that are used where the variable under investigation is qualitative, and needs to be treated with a different approach. – Learn how to apply this approach to building an Early Warning system to forecast systemic banking crises using data from the World Bank.It is recommended that you have completed and understood the previous two courses in this Specialisation: The Classical Linear Regression Model and Hypothesis Testing in Econometrics.By the end of this course, you will be able to: – Respond appropriately to issues raised by some feature of the data – Resolve address problems raised by identification and causality – Resolve problems raised by simultaneous equation and instrumental variables models – Resolve problems raised by longitudinal data – Resolve problems raised by probability models – Manipulate and plot the different types of data.

The Classical Linear Regression Model

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, you will discover the type of questions that econometrics can answer, and the different types of data you might use: time series, cross-sectional, and longitudinal data. During the course you will:– Learn to use the Classical Linear Regression Model (CLRM) as well as the Ordinary Least Squares (OLS) estimator, as you discuss the assumptions needed for the OLS to deliver true regression parameters.– Look at cases with only one independent variable for one dependent variable, before progressing to regression analysis by generalising the bivariate model to multiple regression.– Explore different model-building philosophies, with particular focus on the general-to-specific approach, and learn how to use goodness-of-fit statistics as the measures of “how well your model explains variations in the dependent variable”. Throughout this course, you will see examples to help clarify which kind of relationship is of interest, and how we can interpret it. You will also have the opportunity to apply your learning to estimating the Capital Asset Pricing Model using real data with R. The course is for beginners, so little prior knowledge is required, but you will benefit from an ability to graph two variables in the xy framework, an understanding of basic algebra and taking derivatives. Knowledge of matrix algebra is not a requirement but will also provide you with an advantage.By the end of this course, you will be able to:– Describe the problems that econometrics can help addressing and the type of data that should be used– Explain why some hypotheses are needed for the approach to produce an estimate– Calculate the coefficients of interest in the classical linear regression model– Interpret the estimated parameters and goodness of fit statistics– Estimate single and multiple linear regression models with R.

Sensing Consumer Insights

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course,you will focus on measuring the effectiveness of a digital marketing strategy through marketing analytics. By the end of this course, you will have developed your understanding of key topics such as; owned and earned social media, web analytics, social media landscape analysis, crisis management, product lifecycle and Return on Investment (ROI). Throughout the course, you will be prompted to consider how the topics relate to a company or brand of your choosing. You will be asked to analyse how successfully the company has implemented these topics and identify areas that can be improved. You will have the opportunity to apply your knowledge by analysing the effectiveness of a company's digital marketing strategy in the end-of-course assignment. Completing this course will count towards your learning in the Digital Consumer Search and Marketing Specialization.

The Econometrics of Time Series Data

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, you will look at models and approaches that are designed to deal with challenges raised by time series data. The discussion covers the motivation for the use of particular models and the description of the characteristics of time series data, with a special attention raised to the potential memory. You will: – Discuss time series models, that refer to data that have been collected over a period on one or more variables for the same individual. – Explore both on stationary and non-stationary time series models, as well as the difference between the non-stationary data and the trend-stationary processes – Consider the problems that may occur with non-stationarity data. – Discover the applications of time series models that are of use when we want to model the GDP growth of an economy, and to test for the Purchasing Power Parity Hypothesis. – Explore the idea of forecasting using econometric models. – Discuss different criteria to decide how good your in-sample and out-of-sample forecasts are. – Explore the problem raised by data where the variance is non-constant, and models for volatility forecasting. – Estimate ARCH(p) and GARCH(p,q) models for volatility with real financial market data and present how to extend these models to the mean of the time series via Garch-in-mean. It is recommended that you have completed and understood the previous three courses in this Specialisation: The Classical Linear Regression Model, Hypothesis Testing in Econometrics and Topics in Applied Econometrics.By the end of this course, you will be able to: – Manipulate and plot the different types of data – Estimate and interpret the empirical autocorrelation function – Estimate and compare models for stationary series – Test for non-stationarity of time series data – Estimate and interpret cointegration equations – Perform in-sample and out-of-sample forecasting exercises – Estimate and compare models for changing volatility

Stepping Up: Leading Others

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course, you will look at how to work with a diverse range of people to create and lead a high performing team. You will consider the differences between work groups and teams and explore team dynamics, the nature of remote teams and cross-cultural implications of leading teams. You will also discover how to effectively lead your peers, deal with blockers and disruptors, set objectives and delegate. This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly. Learners will likely have a technical or professional early career but as they are progressing in their careers, they are having to start grappling with the issues of team and organisationalleadership.By the end of this course, you will be able to: – Explain the differences between a team and work group, and why this is important for a leader. – Describe strategies for leading peers, dealing with blockers and disruptors. – Set effective objectives, know best practice for delegation and techniques to drive performance in your teams. – Hold important, challenging conversations which leaders need to have, and implement the key elements of coaching and mentoring as a leader.