From Zero to Data Hero - Data Science and AI for Everyone
Course Overview:
This insightful 10-day program is designed to take participants from foundational concepts to advanced applications in Data Science and Artificial Intelligence (AI). By the end of this course, students will have developed a strong data-driven mindset, mastered essential principles, and gained hands-on experience in solving real-world problems using Data Science and AI techniques. The course is structured to provide practical, businessoriented knowledge that can be applied immediately in professional settings, with a focus on real-world business cases and stories.
10-Day Course Schedule:
Day 1: Business Decision Making – Human Intelligence vs. Data-Driven Artificial Intelligence
- Understanding the limitations and biases in human decision-making.
- Real-world examples of intuition failures in business.
- How data-driven AI provides objective, reliable solutions, illustrated through realworld business cases.
Day 2: Understanding Data and Its Building Blocks
- The importance of data in decision-making and innovation.
- The building blocks of data.
- Techniques for managing, cleaning, and preparing data for analysis.
- Introduction to data work tools, including spreadsheets, SQL, and Python programming.
Day 3: Data Analysis, Visualization, and Business Intelligence
- Methods for analyzing data to extract meaningful information.
- Visualization techniques for effective communication of data insights.
- Introduction to Business Intelligence (BI) and its importance in decision-making.
- Case studies demonstrating the impact of visualization in real-world business scenarios.
Day 4: Introduction to Machine Learning
- Key machine learning concepts.
- Two different types of machine learning models: Unsupervised and Supervised
learning. - Unsupervised learning algorithms and practical applications.
Day 5: Supervised Learning – Regression and Classification – Part 1
- Regression and classification models, including:
- Linear regression
- Logistic regression
- Decision trees
- Support vector machines
Day 6: Supervised Learning – Regression and Classification – Part 2
- Regression and classification models, including:
- Random forests
- Gradient boosting trees
- Neural networks
- Comparison of techniques in solving business problems.
- Common challenges in practical applications
Day 7: Real-World Business Case Studies Using Machine Learning – Part 1
- Customer Credit Assessment
- Check Fraud Detection
Day 8: Real-World Business Case Studies Using Machine Learning – Part 2
- Target Marketing
- Insurance Claims Prioritization
Day 9: Advanced Machine Learning Techniques
- Advanced techniques for improving model accuracy and effectiveness.
- Strategies for creating competition-winning machine learning solutions.
Day 10: Introduction to Natural Language Processing (NLP) and Exploring Generative AI
- Core concepts of NLP and key techniques.
- Practical applications of NLP and machine learning.
- Leveraging Generative AI for Data Science tasks.
Course Aims:
- To build a deep understanding of data and its applications in decision-making.
- To provide practical experience with machine learning models in solving real-world
problems. - To apply Data Science and AI concepts in business scenarios, fostering innovation.
- To introduce advanced techniques for creating competition-winning machine
learning solutions.
Why You Should Take This Course:
- Enhance Career Prospects:
- Sixth formers can gain foundational knowledge in AI and data science, helping them excel in A-levels and opening doors to future career opportunities.
- University students can apply their theoretical knowledge in a practical context, earning a certification that enhances their CV and job prospects.
- Graduates and professionals can improve their CVs, boost interview performance, and potentially switch careers or add an additional income stream.
- Younger participants (aged 11+) will develop a strong foundation in mathematics, algorithms, probabilities, and statistics, which will enhance their performance in school subjects and provide a head start in future academic and career pursuits.
- Practical, Real-World Applications:
- Participants will receive certification from a respected UK Management Institute and skills body, alongside industry professionals who have direct connections with AI startups. This certification not only validates your new skills but also connects you to a vast network of professionals and peers through social media communities, including LinkedIn, YouTube, and WhatsApp.
- Comprehensive Support:
- In addition to gaining new skills, participants will receive support with CV writing, interview practice, and access to a community of nearly 100,000 like-minded individuals, making this course as much about community-building and networking as it is about education.
- Future-Proof Your Career:
- With AI technicians earning starting salaries of $900,000, reaching up to $1.5 million, and with every company investing in AI, understanding AI is crucial for future career success. This course not only covers the technical aspects, such as mathematics, Python, and statistics, but also emphasises creativity and communication—key skills that will set you apart in the AI-driven future.
Cost
£399 (British Pounds)
Course Instructor
Enroll Now:
Transform your understanding of data and become a Data Hero. Secure your place in this comprehensive 10-day course and start applying Data Science and AI concepts to realworld challenges today.