Mohamedazarudeen

Years of Experience in Java Training Classes

18

Teaching Experience in detail in Java Training Classes

I teach the fundamentals of Java programming, including how to set up the development environment (IDE like IntelliJ IDEA or Eclipse), writing the first Java program, understanding the structure of a Java application (classes, methods, packages), and the importance of the JVM (Java Virtual Machine) and JRE (Java Runtime Environment). Classes and Objects: Teaching the principles of object-oriented programming (OOP) by guiding learners through defining classes, creating objects, and understanding the concepts of state and behavior through attributes (fields) and methods. Try-Catch Mechanism: I explain the need for exception handling and how to use the try-catch block to handle runtime errors. I guide learners through examples that show common exceptions like NullPointerException, ArrayIndexOutOfBoundsException, and ArithmeticException. Custom Exceptions. Introduction to Collections: Explaining the importance of the Java Collections Framework (JCF) and how it simplifies working with groups of objects. I teach learners about interfaces such as List, Set, Map, and how to choose the appropriate data structure based on the use case.

Years of Experience in Python Training classes

15

Teaching Experience in detail in Python Training classes

I have given training the More than 10000 Students to developed the WebScriping Projects and GUI Project

Years of Experience in Data Science Classes

15

Teaching Experience in detail in Data Science Classes

I assist users in writing efficient Python code using data science libraries such as NumPy, Pandas, and Scikit-learn. I provide help with manipulating data structures, handling missing data, and optimizing performance.Supervised Learning: Teaching users how to implement supervised learning algorithms such as linear regression, decision trees, random forests, and support vector machines. I also provide guidance on model evaluation techniques like cross-validation and metrics such as accuracy, precision, and recall. Unsupervised Learning: Assisting with clustering algorithms like K-means, DBSCAN, and hierarchical clustering, as well as dimensionality reduction techniques like PCA and t-SNE. Deep Learning: Providing support for neural networks and deep learning using frameworks such as TensorFlow and Keras. I explain the architecture of neural networks, including layers, activation functions, backpropagation, and how to build models for tasks like image classification and natural language processing.Data Visualization: I provide guidance on creating impactful visualizations using libraries like Matplotlib, Seaborn, and Plotly. This includes teaching best practices for designing charts, graphs, and dashboards. Dashboards and Reporting: Helping users create interactive dashboards using tools like Tableau, Power BI, and Plotly Dash for sharing insights and data-driven reports.

Years of Experience in Microsoft Power BI classes

15

Teaching Experience in detail in Microsoft Power BI classes

Understanding the Interface: I guide users through the Power BI desktop interface, explaining the different panes (visualizations, fields, and filters), how to navigate between the report, data, and model views, and how to import data into Power BI from various sources such as Excel, CSV, and databases. Building Data Models: I help users understand the importance of relationships between tables and how to create a star schema or snowflake schema for efficient data models. I teach them how to define relationships between tables and ensure data integrity using one-to-many, many-to-many, and other cardinalities. Visualizing Data: I help users create a variety of visualizations, from basic charts like bar charts, line graphs, and pie charts, to more advanced visuals such as treemaps, waterfalls, and KPI indicators. I also emphasize choosing the right visualization for the type of data and analysis. Designing Reports and Dashboards: I guide users in building compelling, interactive dashboards using multiple visuals and pages within a Power BI report. This includes teaching best practices for dashboard layout, combining KPIs, charts, and tables to convey clear insights. Introduction to DAX: I introduce users to DAX fundamentals, teaching them how to use basic functions for creating custom calculations and KPIs. This includes explaining row context, filter context, and how these affect calculations. Publishing and Sharing Reports: I help users publish their Power BI reports to the Power BI Service, teaching them how to set up scheduled refreshes, manage data gateway connections, and securely share reports and dashboards with their teams or clients.

Years of Experience in Web Designing Classes

8

Teaching Experience in detail in Web Designing Classes

I have Teach Web Designing Application below Technologies Html Css JavaScript Jquery(Basic) Bootstrap Create Own WebApplication Project

Years of Experience in django

9

Teaching Experience in detail in django

I have taken Session 3000k Students for Django Django Session Covered below Technology's Html Css BootStrap Javascript Python Basics Python Django Completed Real time Project Using Python Django

Years of Experience in SQL Programming Training

9

Teaching Experience in detail in SQL Programming Training

I have tech sql programming

Years of Experience in Oracle Training

9

Teaching Experience in detail in Oracle Training

I have tech Oracle and Sql concepts