Top 10 career details in Data Science

Here are the Top 10 career details in Data Science explained in simple words:

1. Data Analyst: 

A data analyst interprets and analyzes large datasets to identify trends, patterns and insights to support business decisions.

2. Data Scientist: 

A data scientist is responsible for analyzing complex data sets to identify insights, predict future outcomes and recommend solutions to business problems.

3. Machine Learning Engineer: 

A machine learning engineer designs and builds algorithms and models that enable machines to learn and make predictions from data.

4. Business Intelligence Analyst: 

A business intelligence analyst is responsible for analyzing business data to identify trends and make recommendations that help the company make informed decisions.

5. Data Engineer: 

A data engineer builds and maintains the infrastructure that supports data storage, retrieval, and analysis for organizations.

6. Database Administrator: 

A database administrator manages and maintains large databases, ensuring they are secure, efficient and reliable.

7. Data Architect: 

A data architect designs the structure of large databases, including the data models, tables, relationships, and data flow diagrams.

8. Data Visualization Specialist: 

A data visualization specialist designs and creates visually appealing and easy-to-understand data charts, graphs, and dashboards to help people understand complex data sets.

9. Data Mining Specialist: 

A data mining specialist develops and implements techniques for extracting useful information from large data sets.

10. Data Quality Manager: 

A data quality manager ensures that data is accurate, complete, and reliable by establishing data quality standards, monitoring data quality, and enforcing data quality policies.