What you'll learn:
- Basics of analytics terminology
- How data is used to make business decisions
- Identify the ideal analytical methodology for your specific needs
- Understand ways to collect, analyze, and visualize data
- Descriptive Analytics and how they are embedded in most organisations
- An understanding of how predictive models can improve your ability to make decisions in an uncertain world
- Prescriptive Analytics and how it helps to formulate recommendations of what you should do
- What is Data Management: Architecture, Quality and Privacy
- Master fundamental concepts and practices of the analytics life cycle and understand the best practices for each stage
This is a non-technical program; no coding background is required.
This course introduces big data analytics, statistics, and data-driven decision-making for all business professionals, including those without prior analytics knowledge.
Analytical skills are essential in any business. There is a growing need for employees across all areas to know how to read, interpret, and present data in a way that can be understood across all functions and inform decision-making. Analytics is listed in 2024 as one of the top 10 skills requested by employers and recruiters. Almost every company in the world uses data to make better decisions.
This comprehensive course offers a detailed overview of the field of business and marketing analytics and data science. The course materials cover a wide range of topics, including data mining, predictive modeling, business intelligence, and machine learning. By studying these topics, you will gain an in-depth understanding of how data can be used to inform business decisions. Additionally, you will learn about tools and techniques such as statistical analysis, data visualization, and data storytelling to effectively communicate insights to stakeholders. By the end of the course, you will have the skills and knowledge needed to make data-driven decisions that can drive business growth and success.
It introduces the different analytics methodologies and how they are used. It is not intended to prepare learners to perform analytics themselves but to learn what analytics can do. If you are curious about the different analytics techniques and the possibilities they offer, this course is for you.
The course lasts around 4 hours and includes quizzes, assignments, and a final test you must pass to get the certificate.
