Applied Data Science Training in Mexico

Programme Overview

Over the last few decades, the amount of generated and retained data by the companies has skyrocketed. In today’s world data has become one of the most powerful tools that any organization can have if they know how to obtain valuable insights from it. Data Science powers contemporary business value and uncovers a vast array of perspectives for growth. More and more companies are opening their doors for big data, therefore the demand for progress-driven data scientists with field expertise and honed analytical skills has reached the level unseen before. Applied Data Science Training in Mexico familiarizes its participants to the best practices of Data Science. It covers a wide range of disciplines that data analytics relates to. Upon the successful completion of this programme you will be able to apply the power of R and PYTHON, Analyze and Visualize Data, employ powerful machine learning algorithms and convert your data into meaningful statistics that fuels business growth and development.

Delivered by Risalat Consultants International in Mexico, it combines expert-led sessions, real cases and group work, so that participants can apply what they learn in their own institution.

The Programme Strengthens Institutional Capability

• Software and Data Engineers
• Data Scientists
• Data Analysts
• Economists or Researchers
• Functional Executives and Senior Level Managers
• Data Types
• Visualizing Data
• Evaluating Representative Quality of Data
• Digital strategy and transformation planning
• Data governance and data quality
• Data analysis and visualisation
• Cybersecurity basics and risk management

It is designed for model, Store and Process large datasets using latest algorithms and techniques, comprehend the importance of data-based solutions to various business challenges, demonstrate deep understanding of pattern finding and predictive models and decide between “proprietary” and “open source” technologies and others who want practical, current skills in digital government, data and technology.

The Growing Importance of Applied Data Science

Digital services, data and new technologies are changing how institutions work and how citizens are served. Done well, they make services faster, cheaper and more transparent; done badly, they waste money and expose data to risk.

Institutions need people who can plan digital change, manage data responsibly, protect systems and use evidence from data in decisions. These skills are now expected across all functions, not only in IT.

Organisations increasingly require professionals capable of:

• Plan digital initiatives that solve real problems
• Manage data quality, protection and sharing
• Analyse data and present it clearly
• Manage cyber and technology risks
• Lead people through digital change

Strong digital government, data and technology systems help organisations:

• Deliver faster and more accessible services
• Make better use of data in decisions
• Protect systems and personal data
• Get value from technology investments

This Applied Data Science programme brings these elements together in a practical format, so that participants understand not only what good practice looks like but also how to introduce it in their own setting, with the people and resources they have.

Who Should Attend This Applied Data Science Training?

This programme is designed for:

• Model, Store and Process large datasets using latest algorithms and techniques
• Comprehend the importance of data-based solutions to various business challenges
• Demonstrate deep understanding of pattern finding and predictive models and decide between “proprietary” and “open source” technologies
• Apply functions for statistical and mathematical analysis along with machine learning algorithms
• Compare solutions related to Data Analysis vs. Machine Learning
• Manage Data Science projects with project management best practices
• Design end to end data-driven solutions to business problems and evaluate the effectiveness of different options
• ICT managers and officers
• Digital transformation leads
• Data analysts and statisticians
• Information security officers
• Policy and planning officers

The programme suits experienced professionals as well as those moving into new responsibilities. Groups that mix institutions and countries are encouraged, because participants learn a great deal from each other’s experience.

Applied Data Science Training Objectives

Upon successful completion of this Applied Data Science Training, participants will be able to:

• Explain the main trends in digital government and data use
• Plan a digital initiative linked to service goals
• Apply data governance and quality principles
• Analyse and visualise data for decision makers
• Identify and manage cyber and technology risks
• Apply responsible practice when using AI and automation
• Plan the procurement and management of technology
• Lead people through digital change
• Prepare a digital action plan for their institution

Each objective is practised during the programme through exercises, cases or group work, so that participants leave able to do it, not only to describe it.

Programme Contents and Structure

Applied Data Science Training Methodology

Being highly participatory in nature, this training course in Mexico provides scope for active interaction between the instructor and attendees. By using innovative methods of Coaching, step-by-step case studies and plenty of hands-on exercises, Risalat team will make sure you are industry ready upon completion of this workshop.

The programme combines:

• Expert-led sessions on current practice
• Regional and international case studies
• Group work and practical exercises
• Simulations and role plays where relevant
• Discussion of participants' own challenges
• Peer learning across institutions and countries
• Practical tools and templates to take back to work
• Daily reflection and action planning

Before the programme, a short pre-assessment helps the facilitators understand each participant’s role and priorities, so that examples and exercises can be adjusted to the group. Each day ends with a short reflection in which participants note what they will apply at work.

Expected Outcomes

Upon completion of this Applied Data Science Training, participants will be able to:

• Plan digital initiatives linked to service goals
• Apply data governance and quality principles
• Analyse and present data clearly
• Manage cyber and technology risks
• Use AI and automation responsibly
• Lead digital change in their institution

Participants leave with a personal action plan and practical tools they can use in their institution from the first week back. Institutions that send several participants can use the programme to agree shared methods and templates across teams, which makes improvements easier to sustain.

Institutional Application of Applied Data Science Training

This programme supports organisations in strengthening:

• Digital strategy
• Data governance
• Data-driven decisions
• Cybersecurity
• Technology management

Participants return with practical tools to improve:

• Data inventories
• Dashboards
• Risk registers
• Technology procurement
• Change plans

The programme is built so that learning moves from the classroom into the institution. Participants work on their own processes and documents where possible, and leave with an action plan that their managers can review and support.

Regional Relevance & Application

Europe

European institutions apply digital government, data and technology within detailed regulatory frameworks and reform agendas. Participants from Europe can compare their practice with colleagues from other regions and test how established methods work under different conditions.

Africa

Across Africa, ministries, agencies and project teams working in digital government, data and technology increasingly operate alongside donor-financed programmes that expect clear systems and evidence. The programme helps participants adapt good practice to the institutions and resources they work with.

Middle East

In the Middle East, national development strategies and diversification plans place growing demands on digital government, data and technology. Participants explore how to build the capability these plans need inside public bodies and companies.

Asia

Institutions across Asia combine rapid growth with ambitious modernisation programmes. Participants from Asia can share their experience of scaling systems quickly and learn from approaches used elsewhere.

Pacific

Small island and Pacific states face particular constraints of size, distance and capacity. The programme highlights practical, proportionate approaches to digital government, data and technology that suit smaller institutions.

Holding the programme in Mexico brings participants together away from their daily pressures, so they can compare how digital government, data and technology is handled in different settings. The same programme can also be delivered in-house for one institution, in its own country or online, with cases taken from its current work.

Host Country Profile – Mexico

Mexico offers participants a well-connected venue for international learning, with the facilities needed for an intensive programme and opportunities to see practice in a different institutional setting.

Studying away from their own country gives participants time to focus, a fresh view of their own institution and the chance to build a network with colleagues from other countries.

The programme takes place at Barceló México Reforma.

Applied Data Science Training Deliverables

Participants receive support before, during and after the programme, so that preparation, learning and follow-up form one continuous experience.

Before the Programme

• Participant Pre-Assessment
• Applied Data Science Readiness Assessment
• Applied Data Science Resource Pack
• Preparatory Reading Materials
• Complimentary Visa Support & Advisory

During the Programme

• Airport Pickup & Welcome Assistance
• Accommodation with Breakfast
• Welcome Networking Dinner
• Risalat Training Kit (Bag, Bottle, Mug, T-Shirt, Cap, Passport Cover, Pens, Notebook, Magnet & Keychain)
• Comprehensive Applied Data Science Training Manual
• Digital Maturity Checklist
• Data Inventory Template
• Dashboard Planning Template
• Technology Risk Register
• Practical Workshops & Simulations
• Group Discussions & Peer Learning
• Daily Lunch and Refreshments
• Full Access to Training Venue Facilities
• Mini Pad / Tablet with Digital Learning Materials
• Field Visit (where applicable)
• Entertaining City Tour

After the Programme

• Certificate of Completion
• Risalat Programme Participation Recognition Award
• Post-Training Reference Materials
• Data Governance Self-Assessment
• Digital Project Review Checklist
• Post-Training Support & Follow-Up Guidance
• Programme Report

Institutions can also request a tailored in-house version of this programme, delivered at their premises or online. Request a proposal.

Common Challenges in Applied Data Science, And How This Training Helps

How can institutions plan digital initiatives that solve real problems?

The programme addresses this directly on the first day (Getting Started with Data Analysis and Visualization), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.

How can institutions manage data quality, protection and sharing?

The programme addresses this directly on the second day (Supervised Machine Learning), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.

How can institutions analyse data and present it clearly?

The programme addresses this directly on the third day (Business Intelligence Forecasting with R and PYTHON), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.

How can institutions manage cyber and technology risks?

The programme addresses this directly on the fourth day (Unsupervised Machine Learning & PMP for Data Scientists), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.

How can institutions lead people through digital change?

The programme addresses this directly on the fifth day (IoT and Big Data Ecosystem), where participants practise the methods involved and adapt them to their own institution, then build it into their action plan.

Frequently Asked Questions

When and where does the Applied Data Science programme take place?

It runs from 7 Dec 2026 to 11 Dec 2026, in Mexico (Barceló México Reforma). The registration deadline is shown at the top of this page.

Who should attend?

The programme is designed for model, Store and Process large datasets using latest algorithms and techniques, comprehend the importance of data-based solutions to various business challenges, demonstrate deep understanding of pattern finding and predictive models and decide between “proprietary” and “open source” technologies, apply functions for statistical and mathematical analysis along with machine learning algorithms, and others who want practical skills in digital government, data and technology.

Will I receive a certificate?

Yes. Participants who complete the programme receive a Certificate of Completion from Risalat Consultants International.

Can this programme be delivered for our institution only?

Yes. We can deliver a tailored in-house version at your premises, in another city or online, built around your own cases. Use the proposal request on this page.

Do I need prior experience in digital government, data and technology?

No specialist background is required beyond experience in a related role. A short pre-assessment helps the facilitators adapt the sessions to the group.

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