How to Become a Data Scientist
Why Study Data Science?
How Long Does it Take to Become a Data Scientist?
Data Scientist Education Requirements
- Applied math
- Computer science
- Social science
Data Science Certificates and Boot Camps
Master’s in Data Science Degree
Doctor of Philosophy Degree
6 Steps to Becoming a Data Scientist
Below are common steps you can take to become a data scientist. Keep in mind that not everyone’s journey is the same.
- Earn an undergraduate degree in data science or a related field
Earn an undergraduate degree in data science or a related field.
- Learn the required skills to become a data scientist.
There are a variety of skills required to be a data scientist. Some, like problem-solving,
- Select a specialization.
Not every data scientist position is the same. Decide the type of environment you want to work in, what types of data interest you and acquire the skills for that path. Some data science specializations include data mining and statistical analysis, data visualization, machine learning and cloud and distributed systems computing.
- Enter an entry-level data scientist job.
Everyone needs to start somewhere. Entry-level data science jobs can include roles like data analysts.
- Continue on-the-job learning.
Read relevant publications and network. Consider earning relevant certifications.
- Enter a master’s degree in data science program.
For most people who want to evolve in data science, a master’s degree is a logical next step. Master’s degrees in data science may open you to better job opportunities.
7 Skills Data Scientists Use Every Day
- Programming (Python, SQL, Scala, Java, R, MATLAB)
- Machine learning (Classification, Clustering, Deep Learning, Ensemble methods, Natural Language Processing)
- Data visualization (D3.js, Java, R libraries, Python, SAS, Tableau)
- Big data platforms (Cloudera, Microsoft Azure, MongoDB, Oracle)
- Data mining, cleaning and munging
- Statistical analysis and mathematics
- Effective communication and management