This course is is a 5-day course designed to provide beginners with a foundational understanding of how data science is used to drive business insights and decision-making.
In this course, you will learn the basics of data collection, cleaning, visualization, and analysis, as well as machine learning techniques for predicting and modelling business outcomes.
By the end of the course, you will have a strong understanding of how data science can be applied in business intelligence and the impact it can have on an organisation. This course is ideal for beginners interested in pursuing a career in data science or business intelligence or for professionals who want to gain a basic understanding of data science and its applications in their field.
- Develop a foundational understanding of data science and its applications in business intelligence, including key concepts, techniques, and tools used in the field.
- Learn how to collect, clean, and preprocess data for analysis, including basic data manipulation using spreadsheets.
- Gain proficiency in data visualization techniques and learn how to communicate insights to stakeholders effectively.
- Learn how to apply simple machine learning algorithms to business problems, including supervised and unsupervised learning techniques, and understand how these algorithms can be used to drive business insights and decision-making.
This course is designed for beginners who are interested in pursuing a career in data science or business intelligence. It is also suitable for professionals who want to gain a basic understanding of data science and its applications in their field. Specifically, the course is ideal for:
- Business professionals who want to gain a deeper understanding of data science and how it can be applied to business intelligence.
- Data analysts who want to expand their knowledge of data science and machine learning in a business context.
- Students who are interested in pursuing a career in data science or business intelligence and want to gain a foundational understanding of the field.