Technology
Artificial Intelligence
Data Science
Career Development
Databases
Data Science Techniques
Job Relevance
TOP 10 Data science techniques you must learn to succeed in your data science careerπ₯ππ
A π§΅β
A π§΅β
2. Data cleaning
Job relevance for data science: 4.0% of all DS jobs
CC: @DataKwery
π datakwery.com
Job relevance for data science: 4.0% of all DS jobs
CC: @DataKwery
π datakwery.com
5. Exploratory Data Analysis
Job relevance for data science: 7.9% of all DS jobs
CC: @DataKwery
π datakwery.com
Job relevance for data science: 7.9% of all DS jobs
CC: @DataKwery
π datakwery.com
6. Feature engineering
Job relevance for data science: 45% of all DS jobs
CC: @DataKwery
π datakwery.com
Job relevance for data science: 45% of all DS jobs
CC: @DataKwery
π datakwery.com
8. Data Modelling
Job relevance for data science: 63.8% of all DS jobs
CC: @DataKwery
π datakwery.com
Job relevance for data science: 63.8% of all DS jobs
CC: @DataKwery
π datakwery.com
9. Data Visualization
Job relevance for data science: 35.6% of all DS jobs
CC: @DataKwery
π datakwery.com
Job relevance for data science: 35.6% of all DS jobs
CC: @DataKwery
π datakwery.com
You can read the unrolled version of this thread here: typefully.com
End of this thread!π
If you've found it informative then do like, RT/QT first tweet, and comment what you think on thisπ¬
And Don't forget to follow me at @avikumart_ for more such threads in data science and ML!π
If you've found it informative then do like, RT/QT first tweet, and comment what you think on thisπ¬
And Don't forget to follow me at @avikumart_ for more such threads in data science and ML!π
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