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Data Analytics Bootcamp: Project 2 Querying Data with Transact-SQL Self-Paced Learning

T-SQL is a Microsoft version of SQL Language. SQL has become the Gold Standard for Relational databases. It provides rich capabilities to interact with underlying data structure and perform various operations. This project will reveal your understanding of T-SQL that you have covered in this course with some hands on Lab and Practices.

Self-Paced

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Course

Learning Style

Beginner

Difficulty

14 Days

Course Duration

Course Info

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T-SQL is a Microsoft version of SQL Language. SQL has become the Gold Standard for Relational databases. It provides rich capabilities to interact with underlying data structure and perform various operations. This project will reveal your understanding of T-SQL that you have covered in this course with some hands on Lab and Practices.

Course Information

T-SQL is a Microsoft version of SQL Language. SQL has become the Gold Standard for Relational databases. It provides rich capabilities to interact with underlying data structure and perform various operations. This project will reveal your understanding of T-SQL that you have covered in this course with some hands on Lab and Practices.

Outline

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Subjects Big Data
Lab Access No
Learning Style Self-Paced Learning
Learning Type Course
Difficulty Beginner
Course Duration 14 Days
Language English

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Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

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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