COMPUTER

360_F_607618657_x5O6KVj3aWVjRNZ25audsfeT0AFaa1TV
Evaluating machine temperature levels for optimal performance

LITERACY

Our Data Analysis Course Overview

Data Analytics

Our state-of-the-art data analysis courses offer a comprehensive foundation in understanding and utilizing data for insightful decision-making. From introductory concepts to advanced analytical methods, our curriculum ensures participants are equipped to handle and interpret data with confidence and precision.

Prerequisites:


No prior computer science or IT knowledge is required.

By the end of this course, students would be able to

Course Objectives

1. Understand the basic components of computer systems and their functions.

2. Identify and use essential software tools and applications.

3. Write and understand simple computer programs.

4. Explore the principles of data management and information systems.

5. Develop problem-solving and critical thinking skills through practical exercises.

6. Demonstrate effective communication and collaboration in a technological context.

7. Gain awareness of ethical and security considerations in IT.

Coursework - Week-by-Week Curriculum:

Data Analytics - Course Outline

Week 1-2: Introduction to Computing

- Overview of computer history and evolution - Understanding hardware components (CPU, RAM, storage) - Introduction to operating systems and file management

Week 3-4: Software and Applications

- Types of software (system, application, utility) - Familiarization with common software applications (word processing, spreadsheet, presentation) - Introduction to cloud computing and online applications

Week 5-6: Programming Fundamentals

- Introduction to programming concepts - Writing and running simple programs (e.g., Python) - Basic problem-solving techniques

Week 7-8: Data and Databases

- Understanding data types and data representation - Introduction to databases and SQL - Hands-on database creation and querying

Week 9-10: Networking and Internet Basics

- Introduction to computer networks - Internet fundamentals and web browsing - Communication protocols and cybersecurity awareness

Week 11-12: Information Systems and Ethical Considerations

- Basics of information systems and their role in organizations - Ethical considerations in IT (privacy, security, copyright) - Group project: Creating a simple information system

We offer variety of classes to suit all types of students.

Our classes

Weekdays

We offer weekday classes to provide flexibility and convenience for individuals who prefer to dedicate their weekdays to learning and professional development in the field of IT.

Morning Session 9 am - 12 noon
Afternoon 1 pm - 4 pm
Evening Session 5 pm - 8 pm
Lab Work ( 1 Hour )

Weekends

We offer weekend classes to accommodate individuals with busy schedules, allowing them to pursue their passion for IT and advance their skills without disrupting their weekday commitments.

Morning Session 8 am - 12 pm
Afternoon 1 pm - 5 pm
Lab Work ( 1 Hour )

Assessment

Quizzes and tests

Practical data analysis assignments

Group project presentation

Participation and class engagement

Resources

Textbooks and online resources

Access to computer labs for practical exercises

Online discussion forums for collaboration

Pathway to beyond excellence

What you should know about our Data Analysis course

Data Analyst Associate

Microsoft Certified

Projects

Practical Hands-On Labs

16 weeks

Course Duration