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The SQL 2014 Developer P2: VS 2012 and Data Types course is the second course in the three course series on SQL Server 2014. This series of courses is a comprehensive series covering all the intermediate to advanced level topics of SQL Server 2014. The topics covered in part 2 of this series are related to the Visual Studio 2012 and focuses on the data types available in SQL Server 2014. The course covers the related sub-topics in a great detail and enables the students to implement the gained knowledge in their everyday tasks.
The SQL 2014 Developer P2: VS 2012 and Data Types course covers the fundamental topics necessary to build, manage, and maintain databases in SQL Server 2014. The course enables the students to efficiently perform the management tasks on their databases and learn the new and advanced features available in SQL Server 2014. The course series comprises of three courses which combine to give a complete and comprehensive knowledgebase to the students working with SQL Server 2014.
The average salary for SQL Developer is $74,844 per year.
| Subjects | IT Ops & Management |
|---|---|
| Lab Access | No |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 9 Hours |
| Language | English |
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Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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