Data analytics is difficult, but whether it's "difficult" for you depends on your experience, learning style, and what level of proficiency you're seeking.

 

 What Makes Data Analytics Accessible:

Core Skills Are Tactile: Data cleaning, rudimentary statistics, and even the use of tools such as Excel, SQL, or Tableau are extremely tangible to learn, even for someone starting from scratch.

Tools Are Getting Easier: Tools like Power BI, Google Data Studio, and even Python libraries like Pandas make many things easier.

 What Makes It Challenging:

Math & Stats: You don't have to be a mathematical genius, but a good understanding of statistics is crucial—particularly for more advanced analysis and prediction modeling.

 If you don't code at all, you will have to learn.

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