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We offer two outstanding data courses, fully funded through The Data Lab’s scheme for eligible learners. This project is supported by Data Skills for Work at The Data Lab through the Edinburgh and South East Scotland City Region Deal, funded by the Scottish Government.
To qualify for these fully funded courses, you must be residing in Edinburgh, East Lothian, West Lothian, Mid Lothian, Fife, or the Scottish Borders. You must also meet one or more of the following criteria: women returning to work or advancing in work, Black, Asian, or minority ethnic (BAME), living with a disability, unemployed or underemployed, or earning below £24K per annum.
This course is aimed at Data Citizens and Data Workers, offering skills in data analytics, data visualization, and project management. The course will be delivered face-to-face over three Saturdays, with each session starting at 10:00 AM and totaling 20 hours of instruction. The scheduled dates are 14th, 21st, and 28th September. Participants will receive a Certificate of Completion. A basic understanding of project management principles is required. This training will equip participants with the skills necessary to merge project management with data analytics, enhancing their ability to make informed decisions and drive project success.
3 Saturdays (14th, 21st, and 28th September 2024)
In-person in Edinburgh & Online
14th September 2024: 10:00 AM - 4:00 PM
21st September 2024: 10:00 AM - 4:00 PM
28th September 2024: 10:00 AM - 4:00 PM
Data Citizens and Data Workers looking to enhance their project management skills with data analytics.
Basic understanding of project management principles.
Certificate of Completion upon successful completion of the course requirements.
On successful completion of this programme, learners will be able to:
- Demonstrate knowledge and critical understanding of the importance of data analytics in project management and its current challenges in modern project environments.
- Gain a solid grasp of common principles, practices, and methods of project management, including initiation, planning, execution, monitoring, controlling, and closing phases.
- Identify, analyze, propose, and evaluate data-driven interventions to enhance project success.
- Translate and clearly articulate project management concepts and strategies, incorporating data analytics, for various stakeholders and project teams.
- Lead and collaborate effectively with others to implement data-driven solutions, monitor project progress, and drive decision-making for successful project outcomes.
This course is designed for Data Citizens and Data Workers who seek an introduction to data management principles and ethical considerations in AI. The course will be delivered online through live instructor-led sessions over two Saturdays, with each session starting at 10:00 AM and totaling 16 hours of instruction. The scheduled dates are 21st September and 28th September. Participants will receive a Certificate of Completion. There are no prerequisites required, making this an introductory course suitable for beginners. This program will provide participants with a foundational understanding of Data Governance principles and ethical considerations in AI, essential for enhancing their professional capabilities in data-driven environments.
2 Saturdays (21st September and 28th September 2024)
Information Session - 7th September, 2024)
Online (Live Instructor-led Sessions)
Pres-session - 7th September: 10:30 - 11:30 AM
21st September 2024: 10:00 AM - 4:00 PM
28th September 2024: 10:00 AM - 4:00 PM
Data Citizens and Data Workers seeking an introduction to data management and AI ethics.
None, this is an introductory course.
Certificate of Completion upon successful completion of the course requirements.
On successful completion of this programme, learners will be able to:
- Demonstrate knowledge and critical understanding of the emergence of Data Governance and its significance in modern data-driven environments.
- Understand key elements and principles of Data Governance, including data compliance and best practices.
- Learn the role of Data Governance in ensuring data quality, security, and compliance.
- Explore real-life applications of Data Governance and its impact on organizational success.
- Gain essential knowledge for responsible data management and decision-making.
We offer Diploma in Data Analytics SCQF Level 8 (SQA Approved) , fully funded through The Next Step Initiative for eligible learners. The next Step Initiative works o empower, improve and transform the quality of life of deprived and less engaged African Communities in Scotland.
To qualify for these fully funded courses, you must be residing in United Kingdom.
The Diploma in Data Analytics program is specifically designed to support disadvantaged young people, particularly those from migrant and low-socioeconomic backgrounds, who face significant barriers to accessing higher education. This comprehensive program aims to develop high-demand skills in data analytics, equipping participants with the knowledge and practical experience needed to thrive in a data-driven world.
This program covers essential areas such as:
- Supporting digital business transformation
- Applying methods and principles in project management
- Developing meta-skills and personal professionalism
- Managing data assets
- Planning data analysis
- Locating and accessing data sources
- Transforming data for analysis
- Analyzing data
- Visualizing and communicating data
- Implementing machine learning models
Participants will acquire comprehensive skills and knowledge in:
- Fundamentals of Data Analytics
- Data Management and Ethics
- Digital Business Transformation
- Principles of Project Management
- Meta-Skills and Professionalism
- Data Analysis Lifecycle
- Programming With Data
- Machine Learning
- Communicating and Working with Data (Excel, SQL, PowerBI)
We are working to change the face of Scotland’s future talent pool by increasing the representation of disadvantaged groups in the data economy.
9 Walkers Wynd, Edinburgh EH14 2TD
Argyle House, CodeBase, Lady Lawson Street, EH3 9DS Edinburgh
© 2024 The DataKirk, SC049344
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