Data Analytics Courses

The Data Analytics: Elevate course is tailored for professionals aiming to harness the full potential of data. Data Analytics involves extracting valuable information from raw data, a process that includes sourcing, cleaning, and analysing data to uncover insights and discern trends hidden within large data sets. With the increasing volume and variety of data, the ability to confidently use data to drive business decisions is crucial. This course is designed for those who wish to deepen their understanding of data analytics and apply it effectively to promote business growth. .

The Data Analytics with Python: Elevate course offers flexible learning tailored to your schedule, whether over six months or a few weeks. It teaches foundational Python and SQL skills, with practical applications in data visualisation, exploratory data analysis, and simple data modelling. The course includes extensive practice through lab exercises and embedded activities, enhancing your coding and analytical skills. Students will also complete a mid-point and a final project to consolidate their learning and demonstrate their proficiency in data analytics. .

The Data Analytics: Transform course is ideal for those looking to enter the data/tech industry, focusing on turning data into actionable insights. It covers data collection, organisation, cleaning, and analysis to support informed decision-making. Students will learn Python programming, data visualization, SQL, regression modeling, and web scraping. They will translate data into actionable insights and drive business results. The course concludes with a capstone project, allowing students to apply their skills to a topic of their choice, demonstrating practical outcomes for the workplace. .

The Bachelor of Data Science equips students with skills in data analytics, statistics, computer science, machine learning, programming, mathematics, and data handling, crucial for roles in business decision-making, corporate strategy, and government planning. The course enhances problem-solving abilities and teaches effective communication to both technical and non-technical audiences. It emphasises independent and team work, considering ethical and legal aspects. Students will learn to analyse and manage large data sets, using technologies like Python and R programming languages, and evaluate insights and solutions. .

The Bachelor of Science (Statistics) offers an in-depth education in statistical theory and practical methods. It focuses on building analytical and problem-solving abilities, particularly in data analysis, experimental design, and probability. This course includes practical work with real-world data and trains you in industry-relevant statistical software. Graduates are well-equipped to meet contemporary industry demands, combining statistical know-how with computational skills for insightful data analysis..

The Bachelor of Business Analytics equips students with skills in data visualisation, statistical, and analytical tools. It also imparts a solid understanding of organisational issues from managerial, financial, and human perspectives. This comprehensive approach enables students to make informed and insightful decisions, combining technical proficiency with an in-depth grasp of business contexts. The course prepares graduates for roles that require the ability to analyse data effectively and understand its implications in a business environment. .

The Graduate Certificate of Applied Statistics equips students with the knowledge and skills essential for careers in statistics, analysis, or data science across various industries. It offers specialisation options in areas such as biostatistics, epidemiological methods, generalised linear models, time series, and stochastic finance. This course also serves as an entry pathway to the Master of Applied Statistics, providing a solid foundation for further advanced study in applied statistics. .

The Master of Data Science equips students with the ability to apply analytical methodologies, effectively manage large data sets, grasp foundational statistical and machine-learning concepts, and evaluate and articulate the impact of new technologies. It delves into contemporary data management and analysis tools, including data collection, storage, visualisation, and internet-based applications. The course readies students for an international career amidst the global ascent of data science..