Applied Data Science with PYHTON

Programme Overview

Over the last few decades, the amount of generated and retained data by the companies has skyrocketed. Understanding data has become great challenge but even a greater opportunity for contemporary businesses. While trying to derive meaningful insights from sets of big data, Python has become an all-time favorite programming language for data scientists due to its syntax simplicity, robust libraries and community participation. This Data Science course with Python features core concepts of exploratory data science, statistics, hypothesis testing, regression classification modelling techniques, data visualization and machine learning algorithms. This programme will allow you to master the concepts of Python programming and essential tools of Data Science with Python.

Delivered by Risalat Consultants International in Ankara, Türkiye, 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 in:

• Introduction to data science
• Data Science tools and technologies
• Life Cycle of Data science projects
• Data Analytics Overview
• Statistical Analysis and Business Applications
• Introduction to Python and its essentials
• Python Environment Setup
• Mathematical Computing with Python (NumPy)
• Digital strategy and transformation planning
• Data governance and data quality
• Data analysis and visualisation
• Cybersecurity basics and risk management

It is designed for software and Data Engineers, data Scientists, data Analysts and others who want practical, current skills in digital government, data and technology.

Why Applied Data Science with PYHTON Matters Now

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.

This Applied Data Science with PYHTON 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.

Institutions increasingly need professionals who can:

• 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 capability helps institutions:

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

Who Should Attend This Applied Data Science with PYHTON Training

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.

This programme is designed for:

• Software and Data Engineers
• Data Scientists
• Data Analysts
• Economists or Researchers
• Functional Executives and Senior Level Managers
• Anyone interested in Python programming and its applications in data science
• ICT managers and officers
• Digital transformation leads
• Data analysts and statisticians
• Information security officers
• Policy and planning officers
• Project and programme managers

Programme Objectives

The objectives focus on what participants will be able to do after the programme, not only on what they will know. Each one is practised during the week through exercises, cases or group work.

By the end of this programme participants will be able to:

• Apply various analysis and visualization tools (Matplotlib, Seaborn) using Python
• Comprehend the behavior of data
• Build Significant models using the Fundamental concepts of statistics
• Get acquainted with Python Libraries (NumPy, Panda, Scikit-Learn, Statsmodels, etc.)
• Manipulate, prepare and explore data using best practices and techniques
• 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

Applied Data Science with PYHTON Training Structure & Contents

Training Methodology

Being highly participatory in nature, Applied Data Science with PYHTON – Training in Ankara, Türkiye 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.

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.

• 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
• Daily reflection and action planning

Institutional Application

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.

This programme supports institutions 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

Regional Relevance & Application

Holding the programme in Ankara, Türkiye brings together participants from the Middle East and other regions, 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.

Examples and exercises are chosen to reflect the realities of public institutions and donor-financed projects, and participants are encouraged to bring a current challenge from their own work so that the action plan they leave with is directly usable.

Host Country Profile – Türkiye

Ankara is the capital city of Turkey. Located in the central part of Anatolia, the city has a population of over 5.3 million residents in its urban center, out of 6 million residents in Ankara Province. Ankara is Turkey's second-largest city by population after Istanbul. Source: Wikipedia.

The programme takes place at Best Western Hotel Ikibin-2000.

Expected Outcomes of Applied Data Science with PYHTON 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.

Course 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 with PYHTON Readiness Assessment
• Applied Data Science with PYHTON 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 with PYHTON 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.

Frequently Asked Questions

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

It runs from 21 Dec 2026 to 25 Dec 2026, in Ankara, Türkiye (Best Western Hotel Ikibin-2000). The registration deadline is shown at the top of this page.

Who should attend?

The programme is designed for software and Data Engineers, data Scientists, data Analysts, economists or Researchers, 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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