Data Analytics for Businesses 101

Course Description:

Course Description:

This foundational course is designed to introduce business professionals to the essential concepts, techniques, and tools of data analytics. Participants will learn how to leverage data to gain valuable insights, make data-driven decisions, and optimize business processes. The course covers the fundamental steps of the data analytics process, from data collection and preparation to analysis, visualization, and interpretation. Through practical examples and case studies, participants will develop the skills necessary to harness the power of data analytics in a business context.

The course is tailored for business professionals who may not have a deep technical background but wish to leverage data analytics to drive business value. Through a combination of lectures, discussions, hands-on exercises, and case studies, participants will gain practical experience in applying data analytics techniques to real-world business scenarios.

The course will cover a range of topics, including data types and sources, data preparation techniques, exploratory data analysis, basic statistical concepts, data visualization best practices, and the interpretation and communication of data-driven insights. Participants will also be introduced to popular data analytics tools and platforms, such as Excel, Tableau, or Power BI, depending on the specific course design.

Upon completion of the course, participants will have a solid foundation in data analytics for business and be equipped with the skills and knowledge necessary to leverage data-driven insights for better decision-making, process optimization, and business strategy development. They will be able to contribute to data-informed discussions, ask the right questions of data, and collaborate effectively with data analysts and data scientists within their organizations.

The Data Analytics for Businesses 101 course serves as a stepping stone for business professionals looking to enhance their data literacy and embrace a data-driven approach to business management. It provides a pathway for further learning and specialization in specific areas of data analytics, such as marketing analytics, financial analytics, or operations analytics, depending on the participants’ roles and interests.

Syllabus:

1. Articulate the value and potential of data analytics in driving business success
2. Identify relevant data sources and assess data quality for analytics purposes
3. Perform data cleaning, transformation, and preparation tasks using appropriate tools
4. Conduct basic exploratory data analysis to uncover patterns, trends, and relationships
5. Apply fundamental statistical concepts and techniques to analyze business data
6. Create effective data visualizations to communicate insights and findings
7. Interpret data analysis results and derive actionable recommendations for business improvement
8. Communicate data-driven insights to both technical and non-technical stakeholders
9. Recognize common pitfalls and limitations of data analytics in a business context
10. Develop a data-driven mindset and incorporate data analytics into decision-making processes

Prerequisites:

• There are no prerequisites for this course

Grading Policy:

• 2 exams
• 1 capstone project