Technical Business Analytics for Agile Decision Making 2023

Welcome to my Business Analytics/Intelligence course!

(This is a soft launch for now, and in Agile spirit, worksheets and tutorial videos for the technical skills will be continuously delivered to you as soon as they are polished! Feel free to contact me with any requests.)

With the meteoric rise of AI-based technologies in 2023, the world of work is changing once again to demand data-driven decisions as industries scramble to become agile and augment with new technology. In this course, I will teach you ALL of the necessary skills using free tools such as Google Sheets (Excel, Analysis ToolPak), MySQL, and Tableau (trial)!

This is an introductory self-paced course with an MBA-level curriculum tailored to suit students from all backgrounds! Whether you’re currently a student preparing for the job market, a seasoned professional looking to up-skill / pivot, or a business owner looking to accelerate your growth, you will finish this course with a fundamentally different understanding of how the world operates today.

Our course will consist of theoretical videos, hands-on tutorials where we work through short assignments together, and mock cases to dive into a wide range of topics, including data pipelines, intro/advanced spreadsheets functions + tools, descriptive/inferential statistics,  machine learning, time series, SQL, visualization, and nontechnical skills.

I will be constantly updating this course with industry breakthroughs regularly, and adjusting materials based on student feedback to provide an optimized learning experience.

By the end of this course, you’ll have a comprehensive understanding of Business Analytics and how to use various tools and techniques to analyze data and make informed business decisions.

So, what exactly will you be learning? Here’s a brief breakdown of the course units:

1. Introduction: Welcome to the course where you’ll learn about how agile and AI-powered workflows enable the modern agile business analyst.

2. Data Pipeline: You’ll learn about big data and how data is collected, stored, and organized.

3. Spreadsheets & Descriptive Statistics: You’ll explore spreadsheets and descriptive statistics, understanding normal distributions and relationships between data points.

4. Inferential Statistics: You’ll dive into inferential statistics, learning about hypothesis testing and decision making based on expected value.

5. Probability: You’ll study random variables and probability distributions, calculating statistics and making decisions.

6. Machine Learning 1: You’ll be introduced to machine learning and artificial intelligence, including linear and non-linear regressions.

7. Machine Learning 2: You’ll learn about classification, clustering, and reinforcement learning.

8. Time Series: You’ll forecast with time series and predict future events.

9. SQL: You’ll understand databases, reading, changing and working with multiple tables.

10. Visualization & Presentation: You’ll study business intelligence, creating visualizations (Tableau) and presenting data effectively.

11. Non-Technical Skills: You’ll evaluate businesses and work within teams, prioritizing projects and understanding KPIs.

12. Conclusion: Quick wrap up of everything that you have learned

Are you ready to dive into the world of Business Analytics? Let’s get started!

Who this course is for:

• University/College students who want to enter the workforce as a business analyst or prepare for a course
• Experienced professionals who want to improve data literacy, implement agile practices, or do a career pivot
• Small business owners who want to implement data-drive decision making in their operations
• Businesses looking to enrol new business analysts in a data training bootcamp