QUALIFI Level 3 Diploma in Data Science

The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges.

In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models.

Certificate of completion

Digital certificate - Included

Key Benefits

• Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis.
• Cultivate analytical and machine learning proficiency using Python.
• Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation.
• Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments.
• Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model.
• Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges

Key Highlights

• This course module prepares learners for higher-level Data science positions through personal and professional development.
• We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities.
• Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam.
• With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home.
• Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system.
• Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk.
• If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience.

Units

• The Field of Data Science
• Python for Data Science
• Creating and Interpreting Visualisations in Data Science
• Data and Descriptive Statistics in Data Science
• Fundamentals of Data Analytics
• Data Analytics with Python
• Machine Learning Methods and Models in Data Science
• The Machine Learning Process
• Linear Regression in Data Science
• Logistic Regression in Data Science
• Decision Trees in Data Science
• K-means Clustering in Data Science
• Synthetic Data for Privacy and Security in Data Science
• Graphs and Graph Data Science

Assessment

• Time-constrained scenario-based assignments
• No examinations

About Awarding Body

QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland.

Delivery Method

School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments.

We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish.

The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations.

Resources and Support

School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently.

Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal.

Why gain Qualifi Qualification?

This suite of qualifications provides enormous opportunities to learners seeking career and professional development.

The highlighting factor of this qualification is that:

• The learners attain career path support who wish to pursue their career in their denominated sectors;
• It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector.

The qualification Qualifi Level 3 Diploma in Data science introduces learners to the data analytical landscape and associated analytical tools, teaching introductory Python so that Learners can analyse, explore, and visualise data, as well as implement a number of basic data science models.

• The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older.
• Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures.
• Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level.

Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities.

• Data Analyst with an estimated average salary of £39,445 per annum
• Business Intelligence Analyst with an estimated average salary of £40,000 per annum
• Data entry specialist with an estimated average salary of £22,425 per annum