The Course
Dive into the fascinating realm where technology meets data as we explore the ins and outs of automating processes and analyzing heaps of information. In this lively course, we'll be unpacking the nuts and bolts of automating mundane tasks, creating efficient workflows, and turning complex datasets into actionable insights. Get ready to wrap your head around the latest software tools and methods that are shaping the future of how businesses operate and make decisions.
But it's not all about the know-how; we're connecting the dots to show you just how powerful these skills are in the real world. From streamlining operations to predicting market trends, mastering automation and data analysis opens a treasure trove of opportunities. You'll come out of this experience not just equipped with valuable techniques, but with a keen understanding of how to apply them to solve real-world challenges, making you an asset in virtually any industry you choose to zoom into.
What you will learn
In starting this course, my main goal was to ensure that even if you're brand new to the world of automation and data analysis, you'd walk away with a valuable toolkit to navigate and thrive in this rapidly evolving field. Everything's laid out in a structured, step-by-step approach, so you'll never feel lost. I've carefully woven together essential theory with hands-on activities, making sure that each concept is clear and applicable for real-world scenarios. Think of it as building blocks; starting simple and laying the foundation, then gradually layering on complexity as your confidence grows. And trust me, by the end of our time together, you'll be amazed at how much you've learned and what you're able to achieve with these powerful skills.
Curriculum
- 9.1 An introduction to Visual Basic for Applications (VBA)
- 9.2 The different types of programming structures
- 9.3 The macro recorder versus manually generating the VBA
- 9.4 Coding best practices
- 9.5 Variables
- 9.6 Assigning VBA to a button or an icon
- 9.7 Coding errors in VBA and how to resolve them
- 9.8 Debugging your code
- 9.9 Function procedures
- 9.10 Determining the last row using VBA
- 11.1 Introduction
- 11.2 The world of data
- 11.3 Data analytics for accounting and related services
- 11.4 The data analytics process
- 11.5 Step one: Identify the questions
- 11.6 Step two: Master the data
- 11.7 Step three: Perform test plan
- 11.8 Step four: Address and refine results
- 11.9 Step five: Communicate insights
- 11.10 Step six: Track outcomes
- 1. Introduction
- 2. What is a dashboard?
- 3. The dashboard design process
- 4. Dashboard best practices
- 5. Excel functions to assist in automating your dashboard
- 6. Other useful Excel features in creating your dashboard
- 7. Adding interactive controls to your dashboard
- 8. Important considerations in designing and developing your dashboard
Your instructor
Masoom Alli CA(SA) brings to the table a rich blend of expertise in both automation and data analysis, fields he has navigated with finesse over numerous years. As a Chartered Accountant within South Africa's dynamic business landscape, Masoom has harnessed the transformative power of automated systems and intricate data insights to drive efficiency and innovation in various sectors. His practical knowledge and acute understanding of financial and operational data have enabled him to facilitate strategic decisions and create robust analytical frameworks for businesses looking to thrive in the digital age.
Immersed in the world of automation and analytics, Masoom is deeply passionate about equipping the next generation of professionals with the tools and knowledge necessary to excel. His teaching role in AIN3701 - Automation and Data Analysis is a testament to this commitment. Masoom infuses his lectures with real-world applications and challenges, fostering an environment where students can connect theoretical concepts with tangible industry practices. His dedication to the subject matter shines through as he guides his students through the intricacies of automating tasks, interpreting complex datasets, and unlocking the potential of data to inform and revolutionize the way we approach business problems.