TOP 10 Data science techniques you must learn to succeed in your data science careerπ₯ππ
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1. Databases
Job relevance for data science: 26.5% of all DS jobs
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π datakwery.com/techniques/databases/?utm_source=avi&utm_medium=blog
2. Data cleaning
Job relevance for data science: 4.0% of all DS jobs
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π datakwery.com/techniques/data-cleaning/?utm_source=avi&utm_medium=blog
3. Data Mining
Job relevance for data science: 22.3% of all DS jobs
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π datakwery.com/techniques/data-mining/?utm_source=avi&utm_medium=blog
4. Data analysis
Job relevance for data science: 73% of all DS jobs
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π datakwery.com/techniques/data-analysis/?utm_source=avi&utm_medium=blog
5. Exploratory Data Analysis
Job relevance for data science: 7.9% of all DS jobs
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π datakwery.com/techniques/exploratory-data-analysis/
6. Feature engineering
Job relevance for data science: 45% of all DS jobs
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π datakwery.com/techniques/feature-selection/?utm_source=avi&utm_medium=blog
7. Dashboarding
Job relevance for data science: 9.3% of all DS jobs
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π datakwery.com/techniques/dashboards/?utm_source=avi&utm_medium=blog
8. Data Modelling
Job relevance for data science: 63.8% of all DS jobs
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π datakwery.com/techniques/data-modeling/?utm_source=avi&utm_medium=blog
9. Data Visualization
Job relevance for data science: 35.6% of all DS jobs
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π datakwery.com/techniques/data-visualization/?utm_source=avi&utm_medium=blog
10. A/B testing
Job relevance for data science: 8.5% of all DS jobs
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π datakwery.com/techniques/ab-testing/?utm_source=avi&utm_medium=blog
You can read the unrolled version of this thread here: typefully.com/avikumart_/L2Bsenn
Avi Kumar Talaviya
@avikumart_
Simplifying Data Science and Machine learning for beginnersπ€ I share valuable threads & resources on DS/ML/DL @kaggle Master|Python|ML|Data|Analytics|Tech