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BASIC SQL COMMANDS

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BASIC SQL COMMANDS

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  1. DATA SCIENTIST DATA ENGINEER Job focus Building ML models Data architecture, raw data BS in the following fields: BS in the following fields: Computer science Statistics Mathematics Engineering IT Economics Computer Science Statistics Mathematics Engineering IT Economics Formal Education MS or Ph.D. - optionally MS or Ph.D. - optionally IBM Data Science Professional Certificate Microsoft Certified: Azure Data Scientist Associate SAS Certified Data Scientist SAS Certified Al & Machine Learning Professional Dell EMC Data Science Track (EMCDS) Google Professional Data Engineer Cloudera Certified Professional (CCP): Data Engineer IBM Certified Data Engineer - Big Data SAS Certified Big Data Professional Data Science Council of America (DASCA) Big Data Engineer Courses and Certifications Programming Data manipulation, analysis, and visualization Data modeling Model building, testing, and deploying Machine learning Al Cloud computing APIs Statistics and mathematics Programming Data manipulation, analysis, and visualization Data warehousing ETL / ELT Data modeling Cloud computing APIs Statistics and mathematics Technical skills SQL R Python Java/JavaScript C/C++/C# SQL R Python Java/JavaScript C/C++/C# Scala .Go Programming languages Data science and machine learning platforms (eg, Jupyter Notebooks, MATLAB, KNIME, MS Azure-learning Studio, IBM Watson Machine Learning, etc.) BI tools (e.g., Tableau, Power BI, Looker, Qlik Sense, etc.) BI tools (e.g., Tableau, Power BI, Looker, QlikSense, etc.) Relational databases (e.g., MS SQL Server, PostgreSQL, MySQL, Oracle, HIVE, Snowflake, etc.) NoSQL databases (e.g. MongoDB, Cassandra, CouchBase) Cloud databases (e.g., Amazon Web Service. Microsoft Azure, Google Cloud, etc.) Cloud data warehouses (e.g., Snowflake or HIVE) ETL tools (e.g. Microsoft SSIS, XPlenty, Talend, Cognos Data Manager) Relational databases (e.g., MS SQL Server, PostgreSQL, MySQL, Oracle, HIVE, Snowflake, etc.) Tools NoSQL databases (e.g. MongoDB, Cassandra, CouchBase) Cloud databases (eg, Amazon Web Service, Microsoft Azure, Google Cloud, etc.) Cloud data warehouses (e.g., Snowflake or HIVE) ELT tools (e.g. Talend, Hevo, Kafka) www.skillslash.com

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