Professional Certificate in Data Analytics

Build in-demand analytics skills to propel your career

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Course Dates

STARTS ON

9 May 2024

Course Duration

DURATION

25 weeks, online
15–20 hours per week

Course Fee

PROGRAMME FEE

£3,675 and get £400 off with a referral

Course Information Flexible payment available
Course Fee

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Develop Future-Ready Skills Today

Emeritus is collaborating with Imperial College Business School Executive Education to help you build future-ready skills. Enrol before and get up to 8% tuition assistance to set yourself up for professional success.​

Application Details

Tuition assistance is live as per below schedule. The full programme fee is £3,995 as of the start date.

programme fee

£3,675

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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 College Business School 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.

#1

Data literacy — reading, working with, analysing and communicating with data — will be the most in-demand skill by 2030

+26%

Average salary increase offered to candidates who can demonstrate data literacy

Source: Qlik and The Future Labs, Data Literacy: The Upskilling Evolution

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.

Who is this programme for?

The Professional Certificate in Data Analytics will be the most valuable for:

  • Recent STEM or business graduates who are looking to launch a career in data analytics and wish to supplement their theoretical knowledge with practical experience in extracting meaningful insights from large quantities of data.
  • Early-career data professionals such as Python developers or data or business analysts who wish to build on their experience in order to drive greater impact in their day-to-day work and gain a set of advanced analytical skills to support decision-making.
  • Business or technology professionals seeking a set of advanced analytical skills to help make informed business decisions that improve profitability, or those performing analytical tasks in their current role who want to gain the formal training to transition into the field.

A functional understanding of calculus, statistics, probability and linear algebra (including vectors and matrices, as well as their multiplication) is recommended to receive the maximum benefit from the programme. This knowledge need not be part of any prior formal education.

Programme highlights

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Unrivalled knowledge

Develop a high-level perspective of the analytics landscape and a deeper understanding of cutting-edge industry topics.

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Industry expertise

Acquire deeper insights into analytics applications from industry experts and learning facilitators.

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Job-ready portfolio

Build a portfolio of work that highlights your experience with analytics platforms.

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Professional development

Access coaching, career guidance and mentorship to help launch or accelerate your career.

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Practical experience

Solve a real-world business problem for your organisation using highly sought-after tools, techniques and platforms.

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Certificate of prestige

Earn a certificate from Imperial Executive Education, a globally ranked university and leader in analytics.

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Capstone

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.

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Production planning

Which production plan maximises daily profits for Gemstone Tool Company?

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Supplier sourcing

What is the most cost-efficient way for New Bedford Steel to acquire coal?

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Capital budgeting

Which projects should Kearns & Associates prioritise to maximise profits?

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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 College Business School’s MSc Business Analytics programme, ranked fifth in the QS World University Rankings: Business Masters Rankings 2022, 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

Profile picture of Professor Wolfram Wiesemann

Professor Wolfram Wiesemann

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 School. In addition, he holds a courtesy appointment in the Department of Computing and is a fellow of the Imperial Business Analytics Centre. His research interests revolve around the methodological aspects of decision-making under uncertainty and machine learning as well as applications in operations management, energy and finance. Prior to joining Imperial College Business School, he held research positions at several other distinguished institutions around the world.

Profile picture of Dr Alex Ribeiro-Castro

Dr Alex Ribeiro-Castro

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 an academic fellow of the Data Science Institute and a research member of the KPMG Advanced Business Analytics Lab at Imperial College London. He is a former assistant professor of mathematics at Pontifical Catholic University in Rio de Janeiro. Dr Ribeiro-Castro holds an MA and a PhD in mathematics from the University of California, Santa Cruz.

Profile picture of Dr Fintan Nagle

Dr Fintan Nagle

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 interests focus on knowledge representation. He is a cognitive scientist and software engineer with a background in computer science, vision science and machine learning. In addition to earning his PhD at University College London, Dr Nagle has completed postdoctoral work in automated driving and co-founded several organisations.

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

Certificate

Certificate

Upon completion of the programme, participants will be awarded a verified digital certificate by Imperial College Business School Executive Education.

Please note that this programme contributes to earning Associate Alumni status. Visit the Associate Alumni page to find out more.

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Financing option

We want to ensure that the Professional Certificate in Data Analytics is accessible to all. As such, we offer the following financing option:

Flexible Payment Option (For All Countries)

Choose to make your payment in two, three, or six instalments for higher flexibility.

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 will I be expected to devote to this programme?

    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 I spend my time in this programme?

    You will divide your learning time between viewing recorded coding demos, video lectures, contributing to class discussions, completing assignments, projects, and knowledge checks, and attending optional live sessions with industry experts and programme leaders.


    How is the programme administered? Can the programme be accessed anytime?

    The programme is accessed through the custom learning portal. This portal will give you access to all programme-related content such as video lectures, assignments, and discussions. Live office hours will be conducted using a webinar tool.

    The video lectures and assignments are accessible weekly throughout the programme. In the event you miss a live session, a recording will be made available.


    Do I need to attend live sessions every week?

    Faculty video lectures are recorded, allowing you to watch these on your own schedule. However, participation in optional live sessions and discussion boards is highly encouraged. Live sessions will give you the opportunity to draw on the coding experience of our industry-experienced course leaders to answer your questions and help reach your learning goals. The discussion boards are also an integral part of the learning experience, giving you and your peers the opportunity to learn together, along with guidance from the moderators.


    Can I download the programme videos?

    You can download video transcripts, assignment templates, readings, etc. However, the video lectures are only available for streaming and require an internet connection.


    How do I interact with other programme participants?

    You can communicate with other participants through our learning platform. You will be able to form groups based on your interests and location. A direct messaging feature is also available through the platform.


    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 percent 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.

  • 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 contact us at learner.success@emeritus.org 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, 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 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 toward 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 learning platform and all programme materials (videos excluded) for one full year following the programme start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment is needed or the technical requirements for this programme?

    To successfully complete this programme online, you must have access to a device meeting the minimum requirements, found here. In addition, RStudio, Microsoft Office or similar product and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts in all programs. Please check the learning platform on the first day of class.


    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. You can download files of video transcripts, assignment templates, readings, etc. Video lectures must be streamed via the internet and webinars and small group sessions will require an internet connection.

  • What is the programme fee for the programme and what forms of payment do you accept?


    What if I don’t have a credit card – is there another mode of payment accepted?

    Yes, you can do the bank remittance via wire transfer. Please contact your programme adviser for more details.


    Is there an option to make flexible payments for this programme?

    Yes. Flexible payment options are available for this programme. We partner with loan partners to offer you flexible and transparent loan options. More information about loan financing is available here. Installment payments are also available—you can find the options here.


    Does the programme fee include taxes? Are there any additional fees?

    Yes, the programme fee is inclusive of any taxes with the exception of GST for Singapore residents.


    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.

  • 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 Academic Advisers or call us at +44 11 4697 4544 (UK) / +1 315 618 2562 (US) / +65 3129 8674 (SG)

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