Foundations of strategic business analytics

Davidson College via Coursera

Overview

Embark on a journey to master the art of strategic business analytics with Davidson College's comprehensive course, now available on Coursera. Designed for enthusiasts ranging from students to seasoned professionals such as business analysts, data scientists, statisticians, and engineers aspiring to transition into business-centric roles, this course promises to enrich your analytical skills profoundly.

Perfect for individuals with a foundational knowledge of statistics, proficiency in R or similar programming languages, and familiarity with data analysis techniques like regression, classification, and clustering, our course is structured to elevate your competence. Dive into an array of recitals and hands-on R Studio tutorials that not only solidify your existing skills but also encourage experimentation with data and exploration of new statistical functions in R.

Our curriculum offers an introductory glimpse into strategic business analytics, covering a multitude of applications across various domains, including Marketing, Supply Chain, Credit Scoring, HR Analytics, and more. Each module is carefully crafted to explain the application of different data analytics techniques, ensuring their relevance and impact on your business.

Emphasizing the generation of compelling, actionable, and efficient insights, we introduce numerous data analytics tools applicable across diverse problem-solving scenarios. This course is meticulously designed to help you develop a well-rounded skill set essential for extracting value from data: Analytics, IT, Business, and Communication.

Upon completing this MOOC, you will be proficient in handling business issues through Analytics; this includes quantitatively identifying problems, performing relevant data analyses, and presenting findings and recommendations in a business-oriented manner that prompts action.

Prerequisites for this transformative learning experience include the ability to utilize R or possess programming skills, alongside a basic understanding of databases and data analysis methodologies such as regression, classification, and clustering.

We extend our gratitude to Pauline Glikman, Albane Gaubert, and Elias Abou Khalil-Lanvin of ESSEC BUSINESS SCHOOL for their invaluable contributions to the course's development. Explore this and more in categories such as R Programming, Data Analysis, Business Intelligence, and Data Visualization Courses on Coursera, provided by Davidson College.