Mon-Fri 9am to 6pm CST
Microsoft Access: Creating a Database
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.
Self-Paced
Learning Style
Microsoft
Provider
Beginner
Difficulty
2 Hours
Course Duration
Course Info
Certificate
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9:00 AM - 5:00 PM CST
Duration - 0 Days -
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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.
Course Information
About this course:
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.
Course Objective:
· 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
Audience:
This online training is designed for:
· This program is intended for basic students of MS Access
Prerequisites:
· This online training course does not have prerequisites.
Suggested prerequisites courses:
· Access-2013: Beginner
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Outline
More Information
| 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 |
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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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