With this starter course, participants will explore how to build and develop databases. Study the fundamentals of queries, formatting, formulas, functions, and data analysis inside Microsoft's DB system.
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With this starter course, participants will explore how to build and develop databases. Study the fundamentals of queries, formatting, formulas, functions, and data analysis inside Microsoft's DB system.
What's MS Access? MS Access is an MS DBMS, which incorporates Microsoft's relational Jet DB Engine with a software development tools and visual user interface. With this starter course, participants will explore how to build and develop databases. Study the fundamentals of queries, formatting, formulas, functions, and data analysis inside Microsoft's DB system.
· Understanding of how to create a Relational DB
· Learn how to create tables
· How to test your DB
· Create and modify simple query’s
· How to create forms
· Modify and set up tables
This online training is designed for:
· This program is intended for basic students of MS Access
· This online training course does not have prerequisites.
· Access-2013: Beginner
| Brand | Microsoft |
|---|---|
| Subjects | Business Productivity |
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 2 Hours |
| Language | English |
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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