Python Training for Data Science, Machine Learning and Artificial Intelligence (AI)
We provide comprehensive, cloud-integrated learning solutions tailored to various skill levels—from beginners to advanced professionals. Delivered through a blend of online, in-person, and hybrid formats, our courses equip participants with essential Python skills, fostering expertise in AI and ML applications.
Features
- Tailored Python training focusing on open-source libraries (pandas, scikit-learn, PyTorch).
- Comprehensive modules in data exploration, engineering, visualisation, and analysis.
- Courses designed for varying skill levels: introductory, intermediate, and advanced.
- Choose from various training methods: classroom, virtual classroom, e-learning, hybrid.
- Beginner courses "from zero" build skills in Python and pandas.
- Learn to build, training, and deploy machine learning models.
- Specialised courses on Natural Language Processing (NLP) and text mining.
- Instruction on advanced AI from deep learning to Generative AI.
- Hands-on projects and exercises to solidify understanding and skill application.
- Ongoing mentorship option to guide learners through project-based learning.
Benefits
- Upskill teams with applied, real-world Python data science techniques.
- Courses taught by experienced data scientists and software engineers.
- Optionally cover crucial topics like AI ethics, safety, and privacy.
- Facilitates rapid proof of concept to operational deployment.
- Emphasises practical software engineering skills in data science.
- Detailed training on algorithm selection and model validation.
- Learn how to integrate Agile methodologies into data science projects.
- Enables robust decision-making through in-depth data analysis training.
- Customisable training aligns closely with specific organisational needs.
- Supports ongoing professional development and talent retention.
Pricing
£100 to £800 a user a day
Service documents
Request an accessible format
Framework
G-Cloud 14
Service ID
7 7 4 6 8 2 6 1 5 7 1 8 9 9 2
Contact
COEFFICIENT SYSTEMS LTD
John Sandall
Telephone: 02080640144
Email: john.sandall@coefficient.ai
Planning
- Planning service
- Yes
- How the planning service works
-
Our planning process begins with a comprehensive discovery workshop (or via an ongoing process) to understand your unique challenges, opportunities, and needs. By exploring and testing your data skills, capabilities and challenges we can tailor our Python training to effectively address your specific requirements. This ensures that our training aligns perfectly with your organisational context and priorities.
We offer tailored advice on selecting the most suitable courses to bridge identified skill gaps, whether for beginners, intermediates, or advanced users. Our curriculum can be customised not only to different skill levels but also to distinct roles within your organisation:
1. Analysts will learn to efficiently navigate, interpret, and occasionally modify Python programs to adapt to new or updated data.
2. Managers will gain insights into identifying valuable data, the comparative strengths of Python, and the essentials of managing Python-based data science projects.
3. Data Scientists and Developers will be equipped with skills to design and implement Python programs that are optimized for local or cloud-based operations.
By focusing on relevant data examples and practical application, we ensure that the training is immediately beneficial and directly applicable to your daily operations. - Planning service works with specific services
- Yes
- Hosting or software services the planning service works with
-
- Python 3 (or later)
- Jupyter Notebooks / Jupyter Lab / CoCalc / CoLab
- IDE agnostic (training can be easily adapted)
- Packages for Data Science (Pandas, Plotly, Pandas, SciKit-Learn, PyTorch, Langchain)
- Packages for web development (e.g. Django, Flask, FastAPI, gunicorn, WSGI...)
- Code deployment to Azure / AWS / Google Cloud Platform
- Docker
Training
- Training service provided
- Yes
- How the training service works
-
Our training focuses on delivering high-quality, intensive learning experiences in Python for data science, analytics, machine learning, and artificial intelligence. With a strong emphasis on open-source technologies, we provide a range of training methods to suit diverse learning preferences and organisational needs, including instructor-led classroom sessions, virtual classrooms, and e-learning platforms. These can be blended to reinforce learning outcomes effectively.
Our courses are designed and delivered by industry experts, utilising a cloud-based environment to streamline delivery and track participant progress. The core modules we offer include:
1. Python for Data Science: Covers essential Python libraries and tools for data manipulation and analysis.
2. APIs and Object-Oriented Programming with Python: Focuses on building scalable and maintainable software architectures.
3. Machine Learning with Python: Offers hands-on experience in developing predictive models and understanding machine learning workflows.
Before starting any training program, we conduct a Skills Assessment to ensure participants are placed in appropriate class cohorts that match their skill level. This helps in delivering targeted training that maximises learning efficiency. After the training, we collect feedback to continuously improve our training offerings, ensuring they remain relevant and impactful for empowering organisations to enhance their in-house capabilities and achieve data-driven decision-making. - Training is tied to specific services
- No
Setup and migration
- Setup or migration service available
- No
Quality assurance and performance testing
- Quality assurance and performance testing service
- Yes
- How the quality assurance and performance testing works
-
Quality of educational experience is paramount in our training delivery. We initiate our engagement with a Skills Assessment to accurately baseline attendees' capabilities. This allows us to group participants into class cohorts that are homogeneous in skill and experience levels, ensuring that everyone receives training that is tailored to their specific needs.
Throughout the training, we employ rigorous quality assurance practices, including:
1. Continuous Evaluation: We continuously monitor and adjust the training content based on participant feedback and performance to enhance learning outcomes.
2. Feedback Collection: Post-training, we gather both quantitative and qualitative feedback to refine our programs and ensure they meet the evolving needs of our clients.
By focusing on these elements, we ensure high-quality training that not only meets but exceeds the expectations of our clients, fostering effective and efficient application of data science skills in their daily operations.
Security testing
- Security services
- No
Ongoing support
- Ongoing support service
- Yes
- Types of service supported
-
- Buyer hosting or software
- Hosting or software provided by your organisation
- Hosting or software provided by a third-party organisation
- How the support service works
-
We offer comprehensive ongoing support in several key areas:
1. Post-Training Support: After the completion of training courses, we can provide ongoing mentorship and query resolution to assist learners in applying their new skills effectively within their professional environments.
2. Platform and Infrastructure Support: For organisations using our cloud-based environment or other third-party tools recommended during training, we ensure seamless operation with regular maintenance and updates. This includes monitoring software performance, troubleshooting issues, and updating resources as needed.
3. Skills Refresh and Updates: We offer periodic refresher sessions and updates on the latest developments in Python, data science, and machine learning technologies to keep your team's skills current and competitive.
4. Community Recommendations: Learners will be recommended online and local communities and events for continued learning and networking. This community provides valuable resources, including webinars, discussion forums, and additional learning materials.
By providing these layers of ongoing support, we help organisations maximize the return on their educational investment and maintain high standards in their data-driven projects and initiatives.
Service scope
- Service constraints
- We offer courses online, in-person, or hybrid.
User support
- Email or online ticketing support
- Email or online ticketing
- Support response times
- Our service desk is available from 09:00 to 17:30 GMT, Monday to Friday, excluding UK Bank Holidays. During these hours, we provide real-time support to address any queries or issues.
- User can manage status and priority of support tickets
- No
- Phone support
- Yes
- Phone support availability
- 9 to 5 (UK time), Monday to Friday
- Web chat support
- No
- Support levels
-
We offer various support options:
1. Standard Support: Offered during business hours, Monday-Friday, excluding bank holidays; includes phone, email, general inquiries and troubleshooting at no extra cost.
2. Premium Support: Provides 24/7 support for continuous global operations, adding round-the-clock access to our standard offerings.
3. Dedicated Technical Manager: Assigned during onboarding for a smooth transition and as a point of contact for escalated concerns.
4. Graduated Response Levels:
- Level 1 (Critical): Immediate response within 1 hour for urgent operational issues.
- Level 2 (High): Response within 4 hours for severe impacts.
- Level 3 (Medium) and Level 4 (Low): Response within 24 hours for non-critical issues.
5. Proactive Support: Customer Support Engineers provide ongoing monitoring and maintenance to anticipate and resolve potential issues.
6. Enhanced and Custom Support: Customisable packages including dedicated platform engineers, software developers, and technical account management based on specific client needs.
Our structured support ensures efficient resolution and high client satisfaction, with clear escalation paths and guaranteed response times.
Resellers
- Supplier type
- Not a reseller
Staff security
- Staff security clearance
- Conforms to BS7858:2019
- Government security clearance
- Up to Security Clearance (SC)
Standards and certifications
- ISO/IEC 27001 certification
- No
- ISO 28000:2007 certification
- No
- CSA STAR certification
- No
- PCI certification
- No
- Cyber essentials
- Yes
- Cyber essentials plus
- No
- Other security certifications
- No
Social Value
- Social Value
-
Social Value
- Fighting climate change
- Tackling economic inequality
- Equal opportunity
- Wellbeing
Fighting climate change
Our service promotes environmental sustainability by advancing remote learning options, reducing the need for travel and paper-based materials, and encouraging energy-efficient practices in digital training environments.Tackling economic inequality
We facilitate economic equality by providing scholarships and tailored training opportunities to underrepresented and economically disadvantaged groups (through our sponsored initiative, 'Humble Data'), enhancing their career prospects and access to the tech industry.Equal opportunity
Our training programmes are designed with a commitment to diversity and inclusion, offering equal access to educational resources regardless of background, ensuring all individuals have the opportunity to succeed in tech careers.Wellbeing
Our training programmes are designed with a commitment to diversity and inclusion, offering equal access to educational resources regardless of background, ensuring all individuals have the opportunity to succeed in tech careers.
Pricing
- Price
- £100 to £800 a user a day
- Discount for educational organisations
- No