Datatech Learning: Courses for the C-suite


The C-suite executives require focused programmes and deep business knowledge. Datatechvibe Learning is back with another list of executive courses to help them maximise their potential, address deficiencies and accelerate career development.

Data Science Datatechvibe-Logo-Learning

University: UC Berkeley Executive Education

Professor: Steve Tadelis, Shachar Kariv

Data Science programme provides a foundational understanding of data science and analytics. By the end of this program, you will be able to work effectively with data teams to drive successful outcomes for your organisation.

Course Highlights:

  • Adopt a data-driven mindset, ask the right questions, turn data into business insights, and identify the best methods to answer questions.
  • Learn to communicate and interpret data, master data presentation methods, communicate with data scientists and interpret data effectively.
  • Create a data-driven culture, use technology and processes to drive a cultural shift where data is leveraged for strategy, decision making, and execution.

Course Duration: 10 weeks

Fee: The cost is $2,850 for the entire course, including interviews with industry experts, live webinars and moderated discussion boards.

Upon completing the programme, UC Berkeley Executive Education grants a verified digital certificate of completion to participants.

The course is best for:

  • Product managers, product managers, project managers, marketing managers, and others in managerial positions are integral to the decision-making process and want to get deeper actionable insights for their work.
  • Directors, CEOs, CTOs, CIOs, vice presidents, presidents, founders, and general managers involved in making systematic data-driven decisions and would like to strengthen the application of data science in their organisations.
  • Executives who want an introduction to data science and want to gain more experience in data analysis.

Practical Data Analysis for Business

Provided by AstroLabs, Dubai

Professors: Ahmad Abugosh, Danial Entezari

With Practical Data Analysis for Business programme, you can learn and apply critical fundamentals of data analysis, practice on real-world projects, get practical help from mentors.

Course Highlights: 

  • Learn and apply data analysis tools including advanced Excel and Google Sheets, APIs, SQL, Google Data Studio, PowerBI and more.
  • Produce a project portfolio of 7 dashboards that implement what you learn

Course Duration: 3 weeks

Fee: The cost is $204 for the entire course, including practical projects to put what you learn into practice.

The course is best for:

  • Professionals who want to use off-the-shelf tools, coding or algorithms, that work easily with excel so you can take your decision-making to the next level.
  • Startup founders who know insights from data are essential to delivering growth faster and better than the companies you are trying to disrupt.
  • People who are looking for a new job or career. The practical projects you work on can be easily applied across industries and shared with future employers to show them your skills.

Digital Transformation: 5 Game-Changing Technologies for Business

University: Imperial College Business School

Professor: Christopher Tucci 

In Digital Transformation: 5 Game-Changing Technologies for Business programme, you’ll learn case studies and how to use these technologies to implement digital transformations across your organisation.

Course Highlights:

  • Assess digital tools, technologies, processes and their uses in business.
  • Suggest new business solutions that are enabled by advances in digital technologies.
  • Learn principles of digital transformation and their application to real-world business problems.
  • Develop a framework for digital transformation within your organisation.
  • Recommend appropriate approaches to infrastructure, data governance and change management to support digital transformations in organisations.
  • Consider challenges of privacy and security in digital transformation.

Course Duration: 9 weeks

Fee: $1518 for the entire course, including online teaching sessions and video lectures with interactive activities and assignments to enable high-impact learning.

Upon completing the programme, participants will be awarded a verified Digital Certificate of Participation by Imperial College Business School Executive Education.

The course is best for:

  • C-suite professionals looking to build and deploy technologies that create value for their business. They will gain a deeper understanding of AI, IoT, Blockchain, Cloud and Big Data and learn to facilitate digital transformation in their organisation.
  • Technology managers and executives who seek to understand the technologies that drive digital transformation and how to implement them to drive digital transformation in their organisation.
  • Functional managers across industries looking to master different areas of transformation and implement a strategy within their function or organisation.
  • Consultants are looking to understand the latest technologies driving digital transformation and create an IT strategy and technology roadmap to help their clients achieve better results.

Financial Technology: Cryptocurrency, Machine Learning, and Digital Banking

University: Imperial College Business School

Professor: Rajkamal Iyer

This Financial technology programme is designed to give you a foundation in fintech and its components. With this course, you’ll learn about fintech components like digital finance channels, blockchain and cryptocurrency, machine learning and artificial intelligence and gain the skills necessary to adopt fintech functionality and technologies.

Course Highlights:

  • Learn existing functions within banks to uncover potential inefficiencies.
  • Compare and contrast how standard versus digital banks perform given functions in your country.
  • Understand the limitations of ML and AI and how to use them to analyse results and determine risk factors.
  • Consider which functions would be better utilised with machine learning or artificial intelligence.

Course Duration: 8 weeks

Fee: $1758 for the entire course, including live webinars, video lectures, practise activities, discussions, and assignments.

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

The course is best for:

  • Mid-to senior-level managers in Finance who seek insights into technologies disrupting banking and fintech applications that can drive their company’s innovation.
  • CXOs of fintech companies (startup or incumbent) and senior managers of fintech functions who want to assess the future of financial services and explore the ways fintech can create solutions for complex problems.
  • Consultants in banking, or finance, who provide cutting edge technology solutions for their clients in the fintech space.
  • Risk, compliance and regulatory professionals working in day-to-day compliance for the financial services, investment, and technology industries, looking to explore regulatory developments and the various risks in adopting fintech.

AI & Automation for the Enterprise

University: MIT Schwarzman College

Professors: Sertac Karaman, Daniela Rus, David Autor, Jim Glass and Julie Shah

AI & Automation programme is designed to help you identify where automation can create value for your organisation and serve as the foundation for turning automation into winning business strategies. The program blends technical and practical considerations to address how, when, and why companies leverage autonomy to support their workforce.

Course Highlights:

  • Examine how automation can create value in various organisational functions and processes.
  • Identify areas where autonomy can be used most strategically, such as improving your workforce (not replacing it).
  • Recognise the broader strategic, technological, and societal implications of automation.
  • Learn to effectively communicate automation concepts with stakeholders — both technical and non-technical.

Course Duration: 6 weeks

Fee: $2,600 for the entire course, including live Q&A session with MIT faculty, application exercises, group discussions.

Upon completion of the programme, MIT Schwarzman College of Computing grants a certificate to successful participants.

The course is best for:

  • Senior management, including C-suite executives who need to identify critical areas in their company/industry where automation can have the most significant impact while having an eye toward the future of work.
  • Mid-level functional managers interested in learning how automation can help improve workforce performance within their functional area and help them stay ahead of the competition.
  • Automation engineers who wish to understand the business applications of automation to aid in their decision-making.

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