[TakeNotes] In demand Skills for Data Scientists
Original Post: https://towardsdatascience.com/the-most-in-demand-skills-for-data-scientists-4a4a8db896db
https://www.kaggle.com/discdiver/the-most-in-demand-skills-for-data-scientists/
The Most in Demand Skills for Data Scientists
Data scientists are expected to know a lot,
- Machine Learning
- Computer Science
- Statistics
- Mathematics
- Data Visualization
- communication
- Deep Learning.
How should data scientists who want to be in demand by employers spend their learning budget?
The related data from (2018, Oct)
- Indeed: https://www.indeed.com
- SimplyHired: https://www.simplyhired.com
- Monster: https://angel.co/jobs
- AngelList: https://angel.co/jobs
- Glassdoor: https://www.glassdoor.com/index.htm
Compare with as below information:
Technology Skills
- Python
- R
- SQL
- Hadoop: Apache Hadoop is an open source software platform for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.
- Spark: Apache Spark is a fast, in-memory data processing engine with elegant and expressive development APIs to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets.
- Java
- SAS
- Tableau: This analytics platform and visualization tool is powerful, easy to use, and growing in popularity.
Recommendations from Jeff
Demonstrate you can do data analysis and focus on becoming really skilled at machine learning.
Invest in your communication skills. I recommend reading the book Made to Stick to help your ideas have more impact. Also check out the Hemmingway Editor app to improve the clarity fo your writing.
Master a deep learning framework. Being proficient with a deep learning framework is a larger and larger part of being proficient with machine learning.
If you are choosing between larning Python and R, choose Python. If you have Python down cold, consider learning R. You’ll definitely be more marketable if you also know R.