Head of Data Science

Techniques and Algorithms

Some commonly used techniques and algorithms in data science include:

• k-NN
• Naive Bayes
• Random Forests

Skills and Proficiency

To excel in the field of data science, it is important to have:

• Experience with common data science toolkits, such as Python
• Proficiency in using query languages such as SQL on a big data platform (e.g., Hadoop, Hive)
• Good applied statistics skills