Business Intelligence Analysis Tools and Techniques

Senior Business Intelligence Analyst to be responsible for the upkeep and development of reports and dashboards to support business performance monitoring and decision-making. In this role, you will build and maintain designs for generating reports on financial and market intelligence, collaborate with internal department leaders and global resources to understand business needs, and successfully communicate project results and challenges. You will be part of a talented team that demonstrates superb technical competency, delivering mission-critical reporting infrastructure and ensuring the highest levels of performance and security. 

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.

COMPLETE WEB DEVELOPER COURSE

Course SynopsisThe Web Developer course is designed for people who have a basicunderstanding of Webpage, HTML, and CSS, as well as how to establish site structure, use AP Element to generate interactive images, and update published files. Anyone with basic experience of web page design and structure, as well as high school and university students who want to perform some coursework, would benefit from this course. Required TextbooksDavid Karlins, “Building Websites All-in-One for Dummies”, Wiley.Sherry Bishop, “Adobe Dreamweaver Creative Cloud Revealed”, Cengage Learning.David Sawyer McFarland and Chris Grover, “Dreamweaver CC: The Missing Manual”, O’Reilly. 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. Prerequisites There is no prior educational level requirement for this course.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six -odd months, then this class may not be for you!

Crash Course for SEE Students

CYBER SECURITY

Course SynopsisThis course covers cybersecurity, ethical hacking, attack phases, countermeasures, Bug Bounty Hunting, Penetration Testing, Forensics, and more. It provides insight into hacker mindset for enhancing security and safeguarding against future threats. By comprehending system weaknesses, organizations can bolster security to mitigate potential incidents. Required Textbooks Mary Aiken, “The Cyber Effect”, Random House.Peter Kim, “The Hacker Playbook 3”, Peter Kim.Helden Wong, “Cyber Security: Law and Guidance”, Bloomsbury Professional. 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. PrerequisitesBasic knowledge about programming, bits/bytes, procedures, classes, computer architecture, etc. If you just have theoretical knowledge that is perfectly okay but you should have strong convictions on what programming is, and what you hope to achieve from this class.Willing and eager to spend at least 10-20 hours (varying from student-to-student) per week outside of the training class to read/write codes in JavaScript (self-study and practice.There is no prior educational level requirement for this course. Anyone from 10+2 student to someone who is doing her PHD in Genetic Engineering is welcome to take this course.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six - odd months, then this class may not be for you!

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.

DATA SCIENCE AND MACHINE LEARNING IN PYTHON

Course SynopsisThis course is targeted for beginners who want to learn how to think and write meaningful pieces of code or read codes written by someone else in Python. This course teaches how to map literary description of a problem (requirement) to an application/library coded in Python. This is a core basic level course that is essential for anyone who has no prior programming experience but wishes to be a professional Python engineer in future. Required Textbooks Chris Albon, “Machine Learning with Python Cookbook”, O’Reilly Media Inc. US.LazyProgrammer, “Deep Learning in Python”, LazyProgrammer, US.Oliver Theobald, “Machine Learning for Absolute Beginners”, Scatterplot Press. 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 assignment. 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. PrerequisitesBasic knowledge about programming, bits/bytes, procedures, classes, computer architecture, etc. If you just have theoretical knowledge that is perfectly okay but you should have strong convictions on what programming is, and what you hope to achieve from this class.Willing and eager to spend at least 10-20 hours (Varying from student-to-student) per week outside of the training class to self-study and practice.There is no prior educational level requirement for this course. Anyone from 10+2 student to someone who is doing their PHD in Genetic Engineering is welcome to take this course.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.