Bifalgorithm post
I find that for those aspiring to work in the field of data science, there's a lot of confusion around what jobs are actually available in this field. First up, providing the data engineer perspective is Roberto. The primary tools he uses for his job are SQL, Python and even some cloud services. What I do in my job is ETL processes, which is stands for extraction, transform and load. Providing the data scientist perspective is Ruchi. Primary tool of use is Python and she's also learning R. So we really need to delve deep into the domain and understand how things work and what's required specific to a problem statement to do well there. I'll be providing the data analyst perspective and my primary tools of use are Excel, SQL, and also Power BI and Tableau. I would typically be given a problem and then access to some data in order to help solve that problem.
I find that for those aspiring to work in the field of data science, there's a lot of confusion around what jobs are actually available in this field. First up…
Ideas in this flowchart
- Data Science Careers
- Job Confusion
- Data Engineer Perspective
- Primary Tools
- SQL
- Python
- Cloud Services
- ETL Processes
- Data Scientist Perspective
- Domain Understanding
- Problem Specific Requirements
- Data Analyst Perspective
- Excel
- Power BI
- Tableau
- Problem Solving
- Data Access