Data Science for Business Analytics: Introduction to Computing

Learn the basics of programming with National Tsing Hua University

Programming can provide insights into data beyond what simple statistics can offer. This three-week course will help you use the power of programming to unlock useful concepts in statistics and analytics.

Through interactive materials, you’ll dive into computational statistics for business analytics and learn the basics of programming.

By the end of the course, you’ll possess a new set of coding tools and skills, and understand how this links to your career goals.

Explore computational statistics and data science in practice

You’ll start by delving into computational statistics to see data science in practice. This will help you unpack programming and the different tools you can use for basic statistics.

With this knowledge, you’ll be able to see both the limitations and value of computational statistics for data science.

Produce data visualisations to boost your data analysis

Next, you’ll develop key skills to help you produce data visualisations that will support and boost your data analysis and reporting processes.

You’ll also run simulations to help you gain practical skills and make your inference more robust.

Learn how to perform functions in r and bootstrapping

Finally, you’ll learn how to develop your own functions to personalise and ease up your coding, making it more efficient and clean.

Within this, you’ll discover resampling and bootstrapping as you learn how to explain their outcomes and understand their applications.

Throughout the course, you’ll develop practical skills with hands-on, weekly assignments. You’ll hone your ability by using a tangible real-world dataset to ensure you finish the course with the knowledge to confidently enter the world of statistics and data science.

This course is designed for anyone interested in the world of computation for business analytics.

It is ideal for anyone who is approaching the fields of business analytics or data science, such as students, those starting out in these industries, and for aspiring data analysts and data scientists in any industry.

Prior programming knowledge is welcome and will be helpful but not strictly required.

This course is designed for anyone interested in the world of computation for business analytics.

It is ideal for anyone who is approaching the fields of business analytics or data science, such as students, those starting out in these industries, and for aspiring data analysts and data scientists in any industry.

Prior programming knowledge is welcome and will be helpful but not strictly required.

• Produce data visualisations to support and boost your data analysis and reporting processes.
• Compute and interpret basic statistics.
• Develop your own functions to personalise and ease up your coding, making it more efficient and clean.
• Perform resampling and bootstrapping, explain their outcomes, understand their applications.