Hey there, fellow data enthusiasts! I recently stumbled upon a Reddit post that resonated with me, and I thought it was worth exploring further. The original poster, u/wolverine-700, shared their experience of learning data analysis and visualization tools like DAX, BI, and Power Query. They watched some videos, followed along with the examples, and felt confident in their newfound skills.
However, when they applied their knowledge to real-world data at their job in procurement, they hit some roadblocks. The data was less structured, and they struggled to adapt their skills to the new context. They wondered if they were just ‘slow’ learners or if it was a normal part of the learning process.
I think many of us can relate to this feeling. We learn new skills, feel excited and motivated, but then encounter obstacles that make us doubt our abilities. The truth is, learning data analysis and visualization takes time, patience, and practice.
It’s great that u/wolverine-700 is committed to adding data analysis and visualization to their toolbox. With persistence and dedication, they’ll get there. The key is to break down the learning process into smaller, manageable chunks, and to focus on applying their skills to real-world problems.
So, how long does it take to master data analysis? The answer is, it depends. It depends on how much time and effort you put into learning, how often you practice, and how you apply your skills to real-world scenarios. The journey to mastery is unique to each individual, but with the right mindset and resources, anyone can get there.
What’s your experience with learning data analysis and visualization? How long did it take you to feel confident in your skills? Share your story in the comments below!