Our Courses
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LARAVEL DEVELOPMENT
Course SummaryLaravel is a popular PHP framework, and this course will show students how to set it up, manage it, and use it to create powerful and dynamic web applications. Required Textbooks1. Matt Stauffer, “Laravel: Up and Running”, O’Reilly.2. Martin Bean, “Laravel 5 Essentials”, Packt Publishing.3. Tony Lea, “The Laravel Survival Guide”, DevDojo.4. Christopher John Pecoraro, “Mastering Laravel”, Packt Publishing Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:1. Has attended 90% of all classes held2. Has received an average grade of 80% on all assignments3. Has received an average of 60% in assessments4. The tutor believes the student has grasped all of the concepts and is ready to go on to the second module. Prerequisites1. Fundamental understanding of programming, bits/bytes, procedures, classes, and computer architecture. It's absolutely acceptable if you only have a theoretical understanding of programming, but you should be certain about what programming is and what you intend to gain from this session.2. 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.3. 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.
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MANAGEMENT 3.0
Course SynopsisThis document is prepared for licensed Management 3.0 facilitators and informs about outlines and the expected outcome of a standard Management workshop, the Foundation Workshop. Attendees should experience the same learning outcome, the same modules, the same practices wherever in the world they attend the workshop, no matter the facilitator. 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. PrerequisitesExperienced in management roles.
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MICROSOFT POWER BI
Course SynopsisPower BI is a quick and intensive data analysis tool. It is an affordable alternative to many BI tools existing in the market for the past years. It offers many features and does most of the job for its user by providing the best of data analysis tools. It does not require any knowledge of coding (maybe a little knowledge of SQL if used as a source to get data). Required TextbooksBrett Powell, “Mastering Microsoft Power BI”, Packt.Roger F. Silva, “Power BI: Create and Learn”, Business Intelligence Clinic. 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 second module. PrerequisitesFundamental understanding of basic Mathematical concepts.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.Basic understanding of Database and Microsoft Excel will prove helpful.A strong will to learn.
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Oracle Database 19c Administration
Oracle 19C Database Administration is a comprehensive, hands-on course provides concrete information on the design of an Oracle Database instance and database, allowing you to manage your database investment. In this class, you will learn how to create database storage structures that align with your requirements and business models. You will also learn how to create users and administer databases as well as harden the databases to meet your business requirements. This is the foundational course for learning about Oracle Database and it does not assume prior knowledge or Oracle technologies.
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ORACLE DATABASE DEVELOPMENT
Course SynopsisOracle Database System administrators can use Quality of Service Management to manage application service levels hosted on Oracle Real Application Cluster databases. QoS Management links precise run-time performance and resource metrics, analyzes this data with an expert system to detect bottlenecks, and recommends resource adjustments to meet and maintain performance objectives under dynamic load conditions, all while using a policy-based architecture. If sufficient resources are not available, QoS prioritizes the most important business objectives above the less important ones. With this course, you should be able to do these basic operations in the Oracle database. Required TextbooksDarl Kuhn, “Oracle RMAN for Absolute Beginners”, Apress.Arun Kumar, “Oracle 11g DBA for Beginners”, Arun Kumar.Ravinder Gupta, “Mastering Oracle GoldenGate”, Apress. 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 second module. PrerequisitesFundamental understanding of programming, bits/bytes, procedures, classes, and computer architecture. It's absolutely acceptable if you only have a theoretical understanding of programming, but you should be certain about what programming is and what you intend to gain from this session.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.
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PROFESSIONAL DATA ANALYTICS PROGRAM
Professional Data Analytics Program in Nepal Master Excel, SQL, Python & Power BI with Hands-On Practical TrainingJob-Ready, Industry-Focused & Fully Practical ProgramBecome a job-ready Data Analyst by learning the complete data analytics workflow using Microsoft Excel, SQL, Python, and Microsoft Power BI through hands-on projects and real-world business scenarios.No unnecessary theory overload. Learn how to collect, clean, analyze, visualize, and present data to solve real business problems and make data-driven decisions. What You Will Be Able To Do After This Training You will learn how to:● Understand the complete Data Analytics lifecycle● Collect, clean and prepare data for analysis● Analyze business data using Microsoft Excel● Query and analyze databases using SQL● Analyze and explore data using Python● Build interactive dashboards using Power BI● Solve real-world business problems using data● Present actionable insights to stakeholders● Build a professional Data Analytics portfolio● Prepare for Data Analyst technical and HR interviews Core Data Analytics SkillsYou will master how to:● Perform data cleaning and preparation● Use Excel functions, formulas and Pivot Tables● Write SQL queries and work with databases● Perform data analysis using Python, NumPy and Pandas● Conduct Exploratory Data Analysis (EDA)● Create meaningful data visualizations● Build data models and use DAX in Power BI● Design interactive reports and dashboards● Convert raw data into actionable business insights What You Will Learn (Modules Covered)● Data Analytics Fundamentals – Analytics Lifecycle, Types of Analytics, Business Understanding & Data-Driven Decision Making● Microsoft Excel for Data Analytics – Data Cleaning, Functions & Formulas, Pivot Tables, Charts, Dashboards & Business Reporting● SQL for Data Analytics – Database Fundamentals, Queries, Filtering, Aggregation, Joins, Subqueries, CTEs, Window Functions & Query Optimization● Python for Data Analytics – Python Fundamentals, NumPy, Pandas, Data Cleaning, EDA & Visualization● Microsoft Power BI – Power BI Fundamentals, Power Query, Data Modeling, DAX, Interactive Reports, Dashboard Design & Power BI Service● Capstone Project – Business Problem Understanding, Data Preparation, Analysis, Dashboard Development & Insight Presentation● Career Development & Interview Preparation – Resume Building, LinkedIn Optimization, Portfolio Development, Technical & HR Interview Preparation and Business Case SolvingHands-On ProjectsThroughout the program, you will work on practical projects including:● Sales Performance Dashboard● Retail Sales Analysis● Customer Behavior Analysis● Executive Business Dashboard● Capstone Data Analytics Project Who This Course Is ForPerfect for:● Students and fresh graduates looking for Data Analyst careers● Professionals looking to transition into data analytics● Business professionals who want to make data-driven decisions● Working professionals upgrading their analytical skills● Aspiring Data Analysts and Business Analysts● Anyone looking to build a career in data analyticsNo prior educational qualification is required. Why This Training Is Different✔ Basic to Advanced structured learning path✔ Learn through Theory + Practical + Industry Projects✔ Complete analytics workflow from raw data to insights✔ Hands-on projects based on real-world business scenarios✔ Dedicated portfolio development✔ Technical and HR interview preparation✔ Practical exposure to multiple industry-standard tools✔ Capstone project to demonstrate your analytics skills Tools You Will Learn● Microsoft Excel● MySQL / SQL Server● Python● NumPy & Pandas● Jupyter Notebook● Visual Studio Code● Microsoft Power BI● Git & GitHub (Introduction) Career After This TrainingAfter completing this program, you can:● Start your career as a Data Analyst● Apply for data and business analytics roles● Build and showcase a professional analytics portfolio● Work with business data and generate actionable insights● Create professional dashboards and reports● Transition into data-driven roles across different industries Program StructureThe program is designed as a 55-day, 2-hours-per-day practical learning program covering the complete journey from Data Analytics fundamentals to career preparation.Learn Data → Analyze Data → Visualize Insights → Solve Business Problems → Build Your Career Start Your Data Analytics Career TodayData is at the heart of modern business decision-making. This program is designed to help you develop the technical, analytical, business and career skills required to become a job-ready Data Analyst.Learn practical skills → Work on real projects → Build your portfolio → Prepare for interviews → Launch your career Frequently Asked Questions (FAQ) – Professional Data Analytics ProgramWhat is the Professional Data Analytics Program?It is a comprehensive Basic to Advanced training program designed to develop the technical, analytical and business skills required to become a job-ready Data Analyst. The program covers Excel, SQL, Python and Power BI through practical projects and business scenarios.Do I need any prior experience to join this course?No. The syllabus states that there is no prior educational level requirement for the course.What will I learn in this training?You will learn Data Analytics fundamentals, Excel, SQL, Python, Power BI, data cleaning, data visualization, dashboard development, business problem-solving, portfolio development and interview preparation.Will I work on practical projects?Yes. The program includes mini projects such as Sales Performance Dashboard, Retail Sales Analysis, Customer Behavior Analysis and Executive Business Dashboard, followed by a capstone project.Will the training help me prepare for Data Analyst jobs?Yes. The program specifically includes resume building, LinkedIn optimization, portfolio development, technical interview preparation, HR interview preparation and business case solving.What tools will I learn?You will work with Microsoft Excel, MySQL/SQL Server, Python, Jupyter Notebook, Visual Studio Code, Microsoft Power BI, and an introduction to Git & GitHub.
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PROGRAMMING IN PYTHON
Course SynopsisThe Python course is designed for novices aiming to develop the ability to conceive and construct purposeful Python code, as well as interpret code composed by others. The curriculum imparts skills in translating conceptual problem descriptions into Python-coded applications/libraries. This foundational course is indispensable for individuals lacking prior programming experience but aspiring to establish themselves as proficient Android engineers in the future. Required TextbooksEric Matthes, “Python Crash Course: A Hands-On, Project-Based Introduction to Programming”, No Starch Press.John Zelle, “Python Programming: An Introduction to Computer Science”, Franklin, Beedle & Associates 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 second module. PrerequisitesFundamental understanding of programming, bits/bytes, procedures, classes, and computer architecture. It's absolutely acceptable if you only have a theoretical understanding of programming, but you should be certain about what programming is and what you intend to gain from this session.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 Python (self-study and practice).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.
