Programming Languages
Data Analyst
A data analyst collects, transforms, and organizes data to draw conclusions, make predictions, and drive informed decision-making. The most popular programming languages used by data analysts are R and Python.
R
- Statistical Features: Convenient for data analysis and advanced data visualizations.
- Resources:
- The R Project for Statistical Computing: Download R, documentation, and help.
- R Manuals: Manuals from the R core team.
- Coding Club R Tutorials: Coding tutorials for R.
- R for Beginners: A guide to working with data, graphics, and statistics in R.
Python
- General-Purpose: Suitable for creating custom solutions for data analysis.
- Resources:
- The Python Software Foundation (PSF): Beginner guides.
- Python Tutorial: Python 3 tutorial from PSF.
- Coding Club Python Tutorials: Coding tutorials for Python.
Kaggle
- Online Repository: Offers datasets for both R and Python.
- Resources:
- Datasets: Explore and download datasets.
- Competitions: Participate in data competitions.
- Learn: Tutorials on data visualization, linear regression, and time series.
Web Designer
A web designer is responsible for the styling and layout of web pages containing text, graphics, and video. They generally use HTML5 and CSS.
HTML5
- Structure: Provides the structure for web pages.
- Resources:
- HTML Tutorial: Basic and advanced HTML tutorials.
- HTML5 Cheat Sheet: Summary of HTML5 tags, attributes, and compatibility with HTML4.
- HTML5 and CSS Fundamentals course: Free W3C course on edX.