Professional Certificate in Data Analytics
Build cutting-edge data analytics skills
Data analytics has become indispensable for organisations as they look for new ways to optimise performance, reduce costs and identify more efficient approaches to conducting business. And with $68 billion projected revenue from the global big data analytics market by 2025, opportunities in data analytics are expected to soar.
The Professional Certificate in Data Analytics from Imperial Executive Education is designed to help participants succeed in today’s data-driven business environment. By developing a strong technical foundation in the applications of data analytics and the skills to analyse, visualise and communicate critical business insights, this 25-week online programme gives you the opportunity to learn in-demand skills that employers seek, under the guidance of the school’s renowned faculty.
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Key takeaways
This hands-on programme is meticulously crafted to equip you with practical skills in modern-day analytics, enabling you to tackle real-world business challenges effectively. You will gain expertise in extracting meaningful insights and driving your organisation towards its objectives by applying cutting-edge analytics.
This programme will enable you to:
Identify the full spectrum of data analytics characteristics and applications in order to understand its significance to organisational success
Use industry-standard tools to conduct exploratory and descriptive analyses of large data sets in order to identify meaningful information
Use predictive modelling to forecast outcomes and evaluate the merits of each to help your organisation solve problems and uncover new opportunities
Design and solve an optimisation problem from a data set and create meaningful strategic recommendations that you can communicate to stakeholders
Build a comprehensive portfolio for a business problem that highlights your analytics expertise to share with potential employers
Programme highlights
Develop a high-level perspective of the analytics landscape and a deeper understanding of cutting-edge industry topics.
Acquire deeper insights into analytics applications from industry experts and learning facilitators.
Build a portfolio of work that highlights your experience with analytics platforms.
Access coaching, career guidance and mentorship to help launch or accelerate your career.
Solve a real-world business problem for your organisation using highly sought-after tools, techniques and platforms.
Earn a certificate from Imperial Executive Education, a globally ranked university and leader in analytics.
Conduct an in-depth data analysis of a business challenge and create an executive summary of your insights and recommendations.
What you will learn
The field of data analytics is rapidly evolving. Discover how far it has come and explore its applications. Then, learn how to solve real-world business challenges with Python and SQL.
Module 1: What Is Data Analytics?
Module 2: What is the Role of a Data Analyst?
Module 3: Getting Started with Python
Module 4: Solving Real-World Problems with Python
Module 5: Getting Started with SQL
Module 6: Solving Real-World Problems with SQL
Data quality is an important component of data-driven business decisions. Explore different approaches to data collection and discover best practices for validation and visualisation. Next, take a closer look at probability theory and learn how to contend with outliers.
Module 7: Gathering Data
Module 8: Web Crawling and Scraping
Module 9: Data Wrangling
Module 10: Data Visualisation Principles and Best Practices
Learn about conducting a diagnostic analysis on data sets to identify anomalies, explain anomalies and determine causal relationships.
Module 11: Probability Theory
Module 12: Anomaly Detection and Explanation
Module 13: Sampling, Resampling and Hypothesis Testing
Module 14: Regression Analysis
Learn how to run a predictive model on data sets, interpret the results and evaluate the merits of using this approach.
Module 15: Fundamentals of Predictive Analytics
Module 16: Supervised Learning, Part 1
Module 17: Supervised Learning, Part 2
Module 18: Hyperparameter Tuning
Module 19: Unsupervised Learning
Different business problems require different approaches. Learn the essentials of prescriptive analytics and explore the applications of discrete and nonlinear optimisation. Then, determine how to integrate analytics into data science projects.
Module 20: Introduction to Prescriptive Analytics
Module 21: Discrete Optimisation
Module 22: Nonlinear Optimisation
Several considerations must be weighed when sharing information publicly. Learn best practices for data communication. Then, develop a final report discussing a business problem you have addressed with data analytics, including methodologies, process and final recommendations.
Module 23: Communicating Results with Data
Module 24: Capstone
Case studies and industry examples
Case studies and industry examples from global brands are paired with key programme concepts to give you the opportunity to examine how data analytics can be applied to solve business problems.
Production planning
Which production plan maximises daily profits for Gemstone Tool Company?
Supplier sourcing
What is the most cost-efficient way for New Bedford Steel to acquire coal?
Capital budgeting
Which projects should Kearns & Associates prioritise to maximise profits?
Personnel scheduling
How should Union Airways schedule customer service agents to maximise the quality of service and minimise costs?
Contingency planning
Observe how anomalous events such as the COVID-19 pandemic affected the stock market based on S&P 500 data.
Machine learning
Explore how Claritas empowers organisations to utilise machine learning with data on demographics, lifestyle and media preferences, shopping behaviours and technology usage.
Data Analytics with Imperial Executive Education
Led by faculty from Imperial Executive Education’s MSc Business Analytics programme, ranked first in the QS World University Rankings: Business Masters Rankings 2025 in Europe, the Professional Certificate in Data Analytics was designed with the same careful balance of teaching, hands-on coursework and training the school values across all of its programmes. Consistently ranked among the world’s top 10 universities, Imperial College London is recognised as a global leader in the study and analysis of data.
Faculty
Professor of Analytics and Operations; Head of the Analytics, Marketing and Operations Department; Fellow, Imperial Business Analytics Centre Operations Management Department, Imperial College London
Professor Wolfram Wiesemann is a professor of analytics and operations as well as the head of the Analytics, Marketing and Operations department at Imperial College Business S...
Data Scientist, Senior Teaching Fellow Operations Management Department, Imperial College London
Dr Ribeiro-Castro is a data scientist and senior teaching fellow at Imperial College Business School, where he teaches the master's course on global business analytics. He is ...
Cognitive Scientist, Software Engineer, Senior Teaching Fellow Operations Management Department, Imperial College London
Dr Fintan Nagle is a senior teaching fellow at Imperial College Business School, where he teaches data science in the context of business analytics. His current research inter...
Career preparation and guidance
Becoming an effective data analyst requires a dynamic mix of domain knowledge and impactful communication skills. This programme will guide you as you develop your career path in data analytics by assisting you with crafting your elevator pitch and sharpening your interview skills. These services are provided by Emeritus, our learning collaborator for this programme. The support team includes programme leaders and career coaches, who will help you reach your learning goals and guide you through your job search. The primary goal is to help you with the skills needed to be prepared for a career in the data analytics field. However, we do not guarantee job placement.
Emeritus provides assistance with the following career preparation services:
Writing noteworthy resumes and cover letters
Creating effective LinkedIn profiles
Navigating your job search
Preparing for interviews
Crafting your elevator pitch
Negotiating salary
Exercises focused on launching a career in data analytics include:
Job search and interviewing for data analytics positions
Building your personal brand and promoting your skills
Communicating data analytics concepts through a capstone project
Note: Learners will have access to up to 3 individualised career coaching sessions as an integral part of the programme. Additional sessions may be requested based on demonstrated progress and alignment with the learner’s professional goals.
Certificate
Upon completion of the programme, participants will be awarded a verified digital certificate by Imperial Executive Education.
Note: You will earn the Associate Alumni status upon successful completion of the programme. Visit the Associate Alumni page to find out more.
FAQs
How do I know if this programme is right for me?
After reviewing the information on the programme landing page, we recommend you submit the short form above to gain access to the programme brochure, which includes more in-depth information. If you still have questions on whether this programme is a good fit for you, please email learner.success@emeritus.org, and a dedicated programme adviser will follow up with you very shortly.
Are there any prerequisites for this programme?
Some programmes do have prerequisites, particularly the more technical ones. This information will be noted on the programme landing page, as well as in the programme brochure. If you are uncertain about programme prerequisites and your capabilities, please email us at learner.success@emeritus.org for assistance.
What are the requirements to earn a certificate?
This is a graded programme. You will be required to complete a combination of individual assignments, quizzes, and a final project. Each component carries a certain number of points and a cumulative score of 75% is required to pass and obtain your professional certificate.
Will I be guaranteed a job upon completion of the programme?
The primary objective of this programme is to give you the skills you need to be prepared for a job in this field. While eligible participants will receive career coaching and support and may receive introductions to our hiring partners, job placement is not guaranteed.
How much time is required each week?
Each programme includes an estimated learner effort per week. This is referenced at the top of the programme landing page under the Duration section, as well as in the programme brochure, which you can obtain by submitting the short form at the top of this web page.
How will my time be spent?
We have designed this programme to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities, including:
Engaging with recorded video lectures from faculty
Attending webinars and office hours, as per the specific programme schedule
Reading or engaging with examples of core topics
Completing knowledge checks/quizzes and required activities
Engaging in moderated discussion groups with your peers
Completing your final project, if required
The programme is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on programme activities.
What is it like to learn online with the learning collaborator, Emeritus?
More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 per cent of the respondents of a recent survey across all our programmes said that their learning outcomes were met or exceeded.
All the contents of the course would be made available to students at the commencement of the course. However, to ensure the programme delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the programme in a cohort-based manner the cost of which is already included in the overall course fee of the course.
A dedicated programme support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues or anything else that may affect your learning experience.
How do I interact with other programme participants?
Peer learning adds substantially to the overall learning experience and is an important part of the programme. You can connect and communicate with other participants through our learning platform.
What are the requirements to earn the certificate?
Each programme includes an estimated learner effort per week, so you can gauge what will be required before you enrol. This is referenced at the top of the programme landing page under the Duration section, as well as in the programme brochure, which you can obtain by submitting the short form at the top of this web page. All programmes are designed to fit into your working life.
This programme is scored as a pass or no-pass. Participants must complete the required activities to pass and obtain the certificate of completion. Some programmes include a final project submission or other assignments to obtain passing status. This information will be noted in the programme brochure. Please email us if you need further clarification on any specific programme requirements.
What type of certificate will I receive?
Upon successful completion of the programme, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools or potential employers. You can use it on your cover letter or resume and/or display it on your LinkedIn profile.
The digital certificate will be sent approximately two weeks after the programme, once grading is complete.
Can I get the hard copy of the certificate?
No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social networking platforms, such as LinkedIn, Facebook and Twitter.
Do I receive alumni status after completing this programme?
No, there is no alumni status granted for this programme. In some cases, there are credits that count towards a higher level of certification. This information will be clearly noted in the programme brochure.
How long will I have access to the learning materials?
You will have access to the online learning platform and all the videos and programme materials for 12 months following the programme start date. Access to the learning platform is restricted to registered participants per the terms of agreement.
What equipment or technical requirements are there for this programme?
Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files and transcripts.
Do I need to be online to access the programme content?
Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access programme content from a desktop, laptop, tablet or mobile device.
Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you can view them later.
Can I still register if the registration deadline has passed?
Yes, you can register up until seven days past the published start date of the programme without missing any of the core programme material or learnings.
What is the programme fee and what forms of payment do you accept?
The programme fee is noted at the top of this programme web page and usually referenced in the programme brochure as well.
Flexible payment options are available (see details below as well as at the top of this programme web page next to FEE).
Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org
What if I don’t have a credit card? Is there another method of payment accepted?
Yes, you can do the bank remittance in the programme currency via wire transfer or debit card. Please contact your programme adviser or email us for details.
I was not able to use the discount code provided. Can you help?
Yes! Please email us with the details of the programme you are interested in, and we will assist you.
How can I obtain an invoice for payment?
Please email us your invoicing requirements and the specific programme you’re interested in enroling in.
Is there an option to make flexible payments for this programme?
Yes, the flexible payment option allows a participant to pay the programme fee in instalments. This option is made available on the payment page and should be selected before submitting the payment.
How can I obtain a W9 form?
Please connect with us via email for assistance.
Who will be collecting the payment for the programme?
Emeritus collects all programme payments, provides learner enrolment and programme support, and manages learning platform services.
Are there any restrictions on the types of funding that can be used to pay for the programme?
Programme fees for Emeritus programmes with Imperial Executive Education may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008 or similar types of military education funding benefits or (b) Title IV financial aid funds.
What is the programme refund and deferral policy?
For the programme refund and deferral policy, please click the link here.
Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Programme Advisers or call us at +44 114 697 4544 (UK) / +1 315 618 2562 (US) / +65 3129 8674 (SG)
Flexible payment options available.
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