Here are some of the technical concepts you should know about data science.
Here are some of the technical concepts you should know about data science.
1. Machine Learning
1. Machine Learning
Machine learning is the backbone of data science. Data Scientists need to have a solid grasp of ML in addition to basic knowledge of statistics.
Machine learning is the backbone of data science. Data Scientists need to have a solid grasp of ML in addition to basic knowledge of statistics.
2. Modeling
2. Modeling
Mathematical models enable you to make quick calculations and predictions based on what you already know about the data.
Mathematical models enable you to make quick calculations and predictions based on what you already know about the data.
3. Statistic
3. Statistic
Statistics are at the core of data science, which can help you extract more intelligence and obtain more meaningful results.
Statistics are at the core of data science, which can help you extract more intelligence and obtain more meaningful results.
4. Programming
4. Programming
Some level of programming is required to execute a successful data science project.
Some level of programming is required to execute a successful data science project.
5. Database
5. Database
A capable data scientist needs to understand how databases work, how to manage them, and how to extract data from them.
A capable data scientist needs to understand how databases work, how to manage them, and how to extract data from them.
Data science offers you the opportunity to focus on and specialize in one aspect of the field.
Data science offers you the opportunity to focus on and specialize in one aspect of the field.