Understanding Data Analysis
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to answer questions, make conclusions, and support decision-making. It is a multi-disciplinary field of study that involves deriving knowledge from raw data. Data analysis is used by companies in order to outcompete and get that cutting edge in understanding customer behaviors, optimizing campaigns for marketing, and predicting trends in the market.
Unlocking Insights: A Guide to Data Analysis Methods
The data collected already in this information age are what makes advancement possible. But by itself, raw data is a confused mess. We employ the performance of data analysis to clear this confusion, extracting valuable insights from the muck that’s gradually forming the base for key decisions and innovation. This article plunges into the methods used in data analysis, arming one with know-how for the dynamic field.
Table of Content
- Understanding Data Analysis
- Types of Data Analysis
- Quantitative Data Analysis Methods
- Quantitative Data Analysis Methods: When to use, Advantages and Disadvantages
- Qualitative Data Analysis Methods
- Qualitative Data Analysis Methods: When to use, Advantages and Disadvantages
- Data Analysis Mixed Methods ( Quantitative and Qualitative)
- Data Analysis Mixed Methods : When to use, Advantages and Disadvantages