The London School of Economics and Political Science
Data Analytics
Career Accelerator
Stand out in the digital economy with technical data analytics skills, a certificate from LSE and exposure to top employers.
6 months, online
15 – 20 hours per week
Next intake: 17 April 2023
In collaboration with:
Secure your place
To ensure every student receives the attention required to create a career-changing learning experience, places in this accelerator are limited. To avoid disappointment, we advise starting your application as early as possible.
The London School of Economics and Political Science
Data Analytics
Career Accelerator
Stand out in the digital economy with technical data analytics skills, a certificate from LSE and exposure to top employers.
6 months, online
15 – 20 hours per week
Next intake: 30 January 2023
In collaboration with:
The London School of Economics and Political Science
Data Analytics
Career Accelerator
Stand out in the digital economy with technical data analytics skills, a certificate from LSE and exposure to top employers.
6 months, online
15 – 20 hours per week
Next intake: 30 January 2023
In collaboration with:
Secure your place
To ensure every student receives the attention required to create a career-changing learning experience, places in this accelerator are limited. To avoid disappointment, we advise starting your application as early as possible.
Built in collaboration with tech leaders
This LSE career accelerator pairs the excellence of a globally renowned social science university with industry knowledge from leading tech companies and employer partners.
Using their insight into the tech landscape to influence coursework design, our industry partners ensure you develop workplace-aligned skills, offer exposure to employer networks and open access to job opportunities.
Built in collaboration with tech leaders
This LSE career accelerator pairs the excellence of a globally renowned social science university with industry knowledge from leading tech companies and employer partners.
Using their insight into the tech landscape to influence coursework design, our industry partners ensure you develop workplace-aligned skills, offer exposure to employer networks and open access to job opportunities.
A learning experience designed for careers
Career Accelerators address four knowledge and skill groups that lay the foundations for sustainable career success.
Technical knowledge, skills and experience in high-demand technologies.
The business understanding needed to apply technical skills in a meaningful way.
Human skills essential for on-the-job performance, promotions and leadership.
Self-awareness and reflective capabilities critical for sustained career growth.
A learning experience designed for careers
Career Accelerators address four knowledge and skill groups that lay the foundations for sustainable career success.
Human skills essential for on-the-job performance, promotions and leadership.
The business understanding needed to apply technical skills in a meaningful way.
Technical knowledge, skills and experience in high-demand technologies.
Self-awareness and reflective capabilities critical for sustained career growth.
What you’ll learn
Over six months, you’ll build confidence in your ability to:
Build practical experience with critical in-demand analytics tools: Excel, SQL databases, postgres, Python, R, and Tableau
Acquire large amounts of complex data from multiple sources and complete advanced analytical processes using popular analytical tools
Conduct descriptive analytics in order to prepare reports and insights to support business decision-making
Apply predictive models to transform insights into actionable strategies
Prepare advanced data visualisations and data stories to communicate compelling, guided narratives to key business stakeholders
Collaborate in solving business problems and justify strategic recommendations that leverage best practice and advanced data-analytic approaches
What you’ll learn
Over six months, you’ll build confidence in your ability to:
Build practical experience with critical in-demand analytics tools: Excel, SQL databases, postgres, Python, R, and Tableau
Conduct descriptive analytics in order to prepare reports and insights to support business decision-making
Prepare advanced data visualisations and data stories to communicate compelling, guided narratives to key business stakeholders
Acquire large amounts of complex data from multiple sources and complete advanced analytical processes using popular analytical tools
Apply predictive models to transform insights into actionable strategies
Collaborate in solving business problems and justify strategic recommendations that leverage best practice and advanced data-analytic approaches
What you’ll learn
Over six months, you’ll build confidence in your ability to:
Build practical experience with critical in-demand analytics tools: Excel, SQL databases, postgres, Python, R, and Tableau
Acquire large amounts of complex data from multiple sources and complete advanced analytical processes using popular analytical tools
Conduct descriptive analytics in order to prepare reports and insights to support business decision-making
Apply predictive models to transform insights into actionable strategies
Prepare advanced data visualisations and data stories to communicate compelling, guided narratives to key business stakeholders
Collaborate in solving business problems and justify strategic recommendations that leverage best practice and advanced data-analytic approaches
Benefits of a Career Accelerator from LSE and FourthRev
Benefits of a Career Accelerator from LSE and FourthRev
Workplace relevance
Stand out in the digital economy with technical data analytics skills, a certificate from LSE and exposure to top employers.
University certificate
Learn from esteemed faculty and earn a certificate from the London School of Economics and Political Science (LSE) as recognition of your knowledge.
Flexible learning
Manage your coursework around your life with an online learning model made to meet the demands of modern learners and working professionals.
Exclusive content
Access exclusive learning materials developed in a collaboration between LSE faculty, leading industry practitioners and employer partners.
Dedicated support
An on-demand team of Success Coaches, technical support and industry experts means the lights stay on for learning, no matter where you are.
Career outcomes
Personalised employability coaching to maximise your personal brand, build a professional presence, craft your CV, and improve presentation skills.
Speak to an advisor
Schedule a call with an Enrolment Advisor to learn more about the programme and whether it’s the right fit for you and your goals.
Speak to an advisor
Schedule a call with an Enrolment Advisor to learn more about the programme and whether it’s the right fit for you and your goals.
Learn from global leaders
Dr James Abdey
Associate Professorial Lecturer in Statistics at LSE
Dr Christine Yuen
Assistant Professorial Lecturer in Statistics at LSE
Dr Milena Tsvetkova
Assistant Professor of Computational Social Science
Dr Blake Miller
Assistant Professor of Computational Social Science
Dr Milt Mavrakakis
Guest Lecturer in Statistics at LSE
Mai Nakane
Director of Technical Product Management, Galvanize
Marco Iannone
Founder & CEO at Retechnica
Andy Cotgreave
Senior Director at Tableau
Why learn data analytics?
In the ‘Age of Analytics’, transforming data into business value is a key organisational capability, and data-backed decision making is more critical than ever in our post-COVID economy.
As a result, the high demand for data analytics talent continues to grow across sectors, with Microsoft forecasting data analysis, machine learning and AI job capacity to increase by 20M worldwide by 2025, including 350,000 in the UK, 1.5M in the US and 9M in China.
Whether you’re seeking new job opportunities or building on existing capabilities to accelerate your career progression, data analytics offers a high-growth path at the core of business strategy and operations.
20M
Microsoft
Why learn data analytics?
In the ‘Age of Analytics’, transforming data into business value is a key organisational capability, and data-backed decision making is more critical than ever in our post-COVID economy.
As a result, the high demand for data analytics talent continues to grow across sectors, with Microsoft forecasting data analysis, machine learning and AI job capacity to increase by 20M worldwide by 2025, including 350,000 in the UK, 1.5M in the US and 9M in China.
Whether you’re seeking new job opportunities or building on existing capabilities to accelerate your career progression, data analytics offers a high-growth path at the core of business strategy and operations.
20M
Microsoft
Why learn data analytics?
In the ‘Age of Analytics’, transforming data into business value is a key organisational capability, and data-backed decision making is more critical than ever in our post-COVID economy.
As a result, the high demand for data analytics talent continues to grow across sectors, with Microsoft forecasting data analysis, machine learning and AI job capacity to increase by 20M worldwide by 2025, including 350,000 in the UK, 1.5M in the US and 9M in China.
Whether you’re seeking new job opportunities or building on existing capabilities to accelerate your career progression, data analytics offers a high-growth path at the core of business strategy and operations.
20M
Microsoft
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