BASIC PHOTOGRAPHY

This course is best suited for beginners who want to explore photography as a hobby or profession, high school and university students interested in enhancing their creative skills, and individuals who wish to improve their photo-taking abilities for personal or professional use.

Big Data Programming and Hadoop Analysis

Course SynopsisBig Data Programming and Hadoop Analytics introduces learners to the core concepts of Big Data, Hadoop ecosystem, and distributed data processing. The course focuses on hands-on experience with HDFS, YARN, MapReduce, Hive, Pig, and Apache Spark. Students will learn to build scalable data pipelines, manage Hadoop clusters, perform large-scale data analytics, and develop end-to-end Big Data solutions using real-world datasets in a hybrid learning environment.Required TextbooksTom White, Hadoop: The Definitive Guide, O’Reilly Media.Holden Karau et al., Learning Spark: Lightning-Fast Big Data Analytics, O’Reilly Media.Recommended Resources:Hadoop and Spark official documentation, GitHub lab repositories, cloud platform free-tier resources, and selected research papers.Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes heldHas received an average grade of 80% on all assignmentsHas received an average of 60% in assessmentsThe tutor believes the student has grasped all core concepts and is ready to proceed to the next modulePrerequisitesBasic understanding of the Linux command lineFundamental programming knowledge (Python or Java preferred)Familiarity with SQL conceptsBasic understanding of data structures

CISCO CERTIFIED NETWORK ASSOCIATE (CCNA)

Course SynopsisThis course is ideal for technicians engaged in Cisco network installation, operation, and validation. Relevant to roles like Network Administrator, Support Technician, Entry-Level Network Engineer, and Help Desk Technician. Required TextbooksStephen McQuerry, “CCNA Preparation Library”, Cisco Systems.Todd Lammle, “CCNA: Cisco Certified Network Associate Study Guide”, Sybex Inc. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the next module. PrerequisitesThere is no prior educational level requirement for this course.

Crash Course for SEE Students

Data Analysis and Visualization with Microsoft Power BI

Course SynopsisData Analysis and Visualization with Microsoft Power BI is a comprehensive 60-hour training program designed to build proficiency in using Power BI for insightful and interactive data analytics. Power BI is an affordable, user-friendly business intelligence tool that simplifies the data analysis process. It empowers users to connect to various data sources, transform raw data, and create visually compelling dashboards and reports. The course requires no prior coding knowledge—though basic SQL can be helpful for data connections—and is ideal for professionals and students alike seeking practical, hands-on data analysis skills. Required TextbooksBrett Powell, Mastering Microsoft Power BI, Packt.Roger F. Silva, Power BI: Create and Learn, Business Intelligence Clinic. Completion CriteriaA student will be considered to have successfully completed the module upon fulfilling all the following conditions:Minimum 90% attendance in all scheduled classes.An average grade of 80% or higher on all assignments.An average of 60% or higher in formal assessments.Positive evaluation from the tutor confirming the student has grasped key concepts and is ready for the next level. PrerequisitesA basic understanding of mathematics and logical thinking.A willingness to commit at least 10 hours per week to learning, including hands-on practice.Familiarity with Microsoft Excel and basic database concepts is beneficial.Most importantly, a strong desire to learn and apply data analysis skills.