Start Date
23rd August, 2025
Duration
10 months, online
Learning Hours
480+ hours of learning
content
Programme Fees
₹1,59,000 + Taxes
"I’m so glad I pushed through and kept going with the programme. When we started, I didn't know so much, but now I’m like “OK let's do it in Python!” I can visualise things – it's very comfortable now."
- Saurabh Dixit
Sr. Technical Project Manager, AWS Certified Cloud Practitioner
"This course is a comprehensive instruction of all the skills and tools one needs to make it as a Data Analyst. It's helped me connect different siloed bits of information and turn them into a marketable skill set for employers. The best bit about the course - the team and the support they provide! Enrolling in the course was the best career decision I have made."
- Ash Johnson
Senior Data Engineer, CityWire
The technical skills needed to perform in real-world roles
The understanding necessary to translate those skills into meaningful business value
The reflective practices essential for ongoing growth
The human skills crucial for gaining and retaining jobs
Curriculum co-designed by a world-leading university in collaboration with industry leaders
10 months of upskilling with a diverse cohort of learners
Industry relevant content for a rich learning experience
Formative Feedback from peers and facilitators
Hands-on project-based practical learning approach
End the programme with a Capstone Project based on real business use cases
3 Live Online masterclasses with the esteemed LSE Faculty
Practical portfolio to demonstrate your technical expertise on LinkedIn & CV
Live/Online Interactive weekly sessions with industry experts
Asynchronous content, for a work, life & study balance
Certificate of Completion from London School of Economics and Political Science
In this data analytics course, enjoy a structured and supported approach to learning data analytics, coding languages and SQL, starting with the fundamentals before moving on to more advanced topics.
The fact that I’ve been able to learn SQL, Python, R, Tableau in a fairly short space of time and do useful things with them is a huge achievement for me.
Elodie Hudson
Former teacher, now Lead Data Scientist at AssessTech Ltd
Work on practical projects and build a portfolio that shows you have real-world experience.
View a sample portfolio in the programme brochure.
3 months into the programme I got a new role.
Hussein Farook
Now Economic Consultant at Grant Thornton
1
Learn to drive business value by analysing, designing and utilising proven data analytics approaches.
2
Use the power of storytelling to communicate your insights in engaging data visualisations and dashboards that hold the room’s attention.
3
Earn a data analytics certificate from LSE as you complete world-class coursework based on the expertise of leading faculty and industry experts.
From analysis to visualisation, this programme dives deep into the nuances of modern-day data analysis tools & techniques. Here's a glimpse of the key takeaways:
1
Critically analyse business contexts to design and utilise best-practice, process-driven approaches to generate organisational added value through data analytics.
2
Conduct best practice data-wrangling activities to support effective data collection and data management aligned to analysis and business objectives.
3
Prepare and present engaging visualisations and dashboards to effectively communicate analysis and insights to relevant stakeholders to inform 5 best practice decision-making through storytelling.
4
Demonstrate self-reflection to support continuous improvement of professional practice.
5
Collaborate (remotely) with peers from diverse backgrounds to create business value through a multi-disciplinary approach to problem solving.
with high-demand data programming languages and data-handling tools such as Excel, PostgreSQL and SQL databases, Tableau, Python, BASH, and R.
PROGRAMME OVERVIEW
Module 1 Data analytics for business
Module 2 Data analytics using Python
Module 3 Advanced analytics for organisational impact
Module 4 Live capstone project with an Industry expert
NEW IN 2024: AI and Data Analytics Learning Track
Learn GenAI tools, methods and insights alongside the core curriculum
This programme is for anyone who wants to:
Cross-skill with practical data analytics knowledge.
Certify their knowledge as a data analyst across industries.
Switch to a data analyst role, from a related or unrelated field.
Want to know more? The fastest way to get your answer is to speak to one of our Enrolment Advisors.
This programme brings together academic and industry perspectives to design, build and deliver a curriculum that represents the best of both worlds.
Associate Professorial Lecturer in Statistics
LSE
Assistant Professorial Lecturer in Statistics
LSE
Assistant Professor of Computational Social Science
LSE
Assistant Professor of Computational Social Science
LSE
Guest Lecturer in Statistics
LSE
Associate Professorial Lecturer in Statistics
LSE
Assistant Professorial Lecturer in Statistics
LSE
Assistant Professor of Computational Social Science
LSE
Assistant Professor of Computational Social Science
LSE
Guest Lecturer in Statistics
LSE
Senior Director at:
Founder & CEO at:
Director of Technical
Product Management at:
Data Analytics + Martech at:
Founder and Managing Director at:
Former Data Science & AI Practice Manager at:
Senior Director at:
Founder & CEO at:
Director of Technical
Product Management at:
Data Analytics + Martech at:
Founder and Managing Director at:
Former Data Science & AI Practice Manager at:
Lead Business Intelligence Developer at:
Director, Data Science and NLP at:
*These industry experts are subject to change
Complete the form to access the programme brochure and get notified when registrations open.
Connect with an advisorabout the benefits of this data analytics course for your business.