10 Data science tools and technologies

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TOP 10 Data Science tools and technologies YOU must learn to master the ART of Data Science🎨📊📈 A 🧵↓

1. MS Excel Job relevance: 1. Data Analyst: 40.4% 2. Business Analyst: 31.0% 3. Data Scientist: 8.0% CC: @DataKwery 🔗 datakwery.com/tools/microsoft-excel/?utm_source=avi&utm_medium=blog

2. Python Job relevance: 1. Data Scientist: 75.2% 2. Data Engineer: 65.9% 3. Data Architect: 39.3% CC: @DataKwery 🔗 datakwery.com/tools/python/?utm_source=avi&utm_medium=blog

3. Pandas Job relevance: 1. Data Scientist: 6.7% 2. Data Engineer: 4.2% 3. Data Analyst: 1.9% CC: @DataKwery 🔗 datakwery.com/tools/pandas/?utm_source=avi&utm_medium=blog

4. Sciki-learn Job relevance: 1. Data Scientist: 11.1% 2. Data Engineer: 4.9% 3. Data Analyst: 0.7% CC: @DataKwery 🔗 datakwery.com/tools/scikit-learn/?utm_source=avi&utm_medium=blog

5. PySpark Job relevance: 1. Data Engineer: 4.7% 2. Data Scientist: 3.0% 3. Data Architect: 1.0% CC: @DataKwery 🔗 datakwery.com/tools/pyspark/?utm_source=avi&utm_medium=blog

6. SQL/NoSQL Job relevance: 1. Data Analyst: 65.8% 2. Data Architect: 53.1% 3. Data Scientist: 52.9% CC: @DataKwery 🔗 datakwery.com/tools/sql/?utm_source=avi&utm_medium=blog

7. Tensorflow and Keras Job relevance: 1. Data Scientist: 15.9% 2. Data Engineer: 10.6% 3. Data Architect: 4.3% CC: @DataKwery 🔗 datakwery.com/tools/tensorflow/?utm_source=avi&utm_medium=blog

8. Rapidminer Job relevance: 1. Data Scientist: 0.3% 2. Data Architect: 0.2% 3. Data Analyst: 0.1% CC: @DataKwery 🔗 datakwery.com/tools/rapidminer/?utm_source=avi&utm_medium=blog

9. PowerBI Job relevance: 1. Data Analyst: 13.9% 2. Data Architect: 7.6% 3. Data Engineer: 6.7% CC: @DataKwery 🔗 datakwery.com/tools/power-bi/?utm_source=avi&utm_medium=blog

10. AWS Job relevance: 1. Data Architect: 43.8% 2. Data Engineer: 36.7% 3. Data Scientist: 20.6% CC: @DataKwery 🔗 datakwery.com/tools/amazon-web-services/?utm_source=avi&utm_medium=blog

You can read the unrolled version of this thread here: typefully.com/avikumart_/NcqVQpl