Coding for Data Analysis
Coding for Data Analysis refers to the proficiency in utilizing programming languages, such as Python or R, to manipulate, analyze, and interpret data. It encompasses skills in data cleaning, statistical analysis, data visualization, and implementing algorithms to solve data-related problems, aiding in insightful decision-making.
Level 1: Emerging
At an emerging level, you are beginning to understand and apply basic coding principles to analyze data. You can perform simple data manipulations and interpret basic statistical summaries.
Level 2: Proficient
At a proficient level you are able to write complex code for data analysis tasks without assistance. You can effectively manipulate data, create models, and automate processes using coding languages like Python or R.
Level 3: Advanced
At an advanced level, you are proficient in using various coding languages for complex data analysis tasks, such as manipulating and visualizing data, implementing machine learning algorithms, and optimizing code efficiency.
