What you'll get
- 8+ Hours
- 3 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- The program offers comprehensive training in Machine Learning with Python, Deep Learning, Data Science with R, Face Detection in Python, Bayesian Machine Learning, Business Intelligence, Artificial Intelligence, and practical projects.
- Learners have access to all course materials for one year.
- This course is intended for those pursuing a career in Machine Learning.
- Familiarity with at least one programming language is suggested.
- Participants earn a Certificate of Completion for each of the three courses and gain hands-on project experience.
- Certificates are verifiable online and include a unique link that can be shared on resumes or LinkedIn profiles to showcase advanced Machine Learning expertise.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Microsoft Access 2016 - Beginners | 3h 54m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Microsoft Access 2016 - Beginner to Advanced | 3h 28m | ✔ | View Curriculum |
| Advanced Database Table Design in Microsoft Access 2016 | 1h 04m | ✔ | View Curriculum |
Description
Section 1: Microsoft Access - Beginners
This 3-hour, 54-minute introductory section covers core database management concepts in Microsoft Access. Students will learn to create databases, design tables, manage data, and run basic queries. By the end of this module, learners will have the foundational skills to use Access confidently and efficiently.
Section 2: Microsoft Access - Advanced
This 3-hour, 28-minute section builds on foundational knowledge and covers advanced Microsoft Access features. Participants will learn to create complex queries, design custom forms and reports, apply data validation, and automate tasks with macros. These skills enable learners to develop databases tailored to business requirements.
Advanced Database Table Design in Microsoft Access
This 1-hour, 4-minute supplementary course covers best practices in database table design. Learners will study efficient, normalized structures, primary and foreign key relationships, indexing, field properties, and data types. Practical examples support building robust, scalable databases.
- Create and manage databases efficiently, including designing tables, defining relationships, and ensuring data integrity.
- Develop advanced queries to retrieve, filter, and manipulate data in accordance with specific requirements.
- Customize forms and reports for clear, insightful, and visually appealing data presentation.
- Implement data validation strategies to maintain accuracy and consistency.
- Automate processes and repetitive tasks using macros to boost productivity.
- Apply advanced database table design principles to enhance database performance and scalability.
Sample Certificate
Requirements
- Fundamental computer skills, encompassing knowledge of operating systems, file organization, and general computer operations.
- Foundational database knowledge, with an understanding of databases and their primary functions.
- Experience with Microsoft Office, particularly Excel, is preferred.
- Introductory data handling skills, including sorting, filtering, and basic data analysis methods.
Target Audience
- Beginner and intermediate professionals seeking to enhance their database management skills.
- Students and individuals preparing for roles with database management responsibilities.
- Small business owners and entrepreneurs are seeking to efficiently organize and manage their data.
- Those looking to build a strong understanding of Microsoft Access for professional growth or self-improvement.
