I am a
1. Introduction to Python Programming
2. Core Python Concepts and Syntax
3. Data Structures and Algorithms
4. Object-Oriented Programming in Python
5. Modules, Packages, and Libraries
6. Web Development with Python
1. Introduction to Data Science
2. Foundations of Data Science
3. Data Collection and Management
4. Programming for Data Science
5. Data Analysis and Visualization
6. Machine Learning Basics
7. Ethics and Future Trends in Data Science
1. Introduction to Data Science
2. Data Acquisition and Integration
3. Data Cleaning and Preprocessing
4. Exploratory Data Analysis and Visualization
5. Feature Engineering and Selection
6. Model Building and Machine Learning
Unit 1 Advanced Functions
Unit 2 Array Functions Lookup & Dynamic
Unit 3 Data Analysis
Unit 4 Worksheet Management
Unit 5 Modelling
Unit 1 Data Analysis
Unit 2 Advanced Charts
Unit 3 Dashboards
Unit 4 Worksheet Review
Unit 5 VBA
Unit 1 Data Analysis
Unit 2 Advanced Charts
Unit 3 Dashboards
Unit 4 Worksheet Review
Unit 5 VBA
1. Introduction to Python programming
2. Conditional statements
3. Defining functions, importing modules
4. filtering, grouping, sorting data
5. File I/O and format management
6. Data manipulation
7. Data visualization with Matplotlib and Seaborn
1.Introduction to Full Stack Python Development
2.Front-End Development & Back-End Development with Python
3.Database Management
4.RESTful Services and APIs
5.Deployment, Security, and Maintenance
1. Introduction, Installation & Functions
2. Components
3. Data Blending, Filters & Marks card
4. Format
5. Calculations, Functions, Charts, Maps & Actions
6. Dashboards & Story boards
7. Tableau Online, Publish & Project
1. Agile Project Management
2. Data Analytics
3. Business Analytics
4. Generative AI
5. Lab Building and DevOps
6. Full Stack Programs
7. Python and R for AI
1. Python Basics
2. Data Structures
3. Libraries (NumPy, Pandas)
4. Frontend Basics (HTML/CSS)
5. Backend Development (Django)
1. Cluster Architecture, Installation & Configuration
2. Storage
3. Services & Networking
4. Workloads & Scheduling
5. Troubleshooting
1. Introduction to Full Stack Python Development
2. Front-End & Back-End Development
3. Database Management
4. RESTful Services and APIs
5. Development Tools and Deployment
1. Java
2. SpringBoot
3. HTML/CSS/JavaScript
4. Data Analytics
1 : Introduction , Installation & Functions
2 : Components
3 : Data Blending, Filters & Marks card
4 : Format
5 : Calculations, Functions, Charts, Maps & Actions
6 : Dashboards & Story boards
7 : Tableau Online, Publish & Project
1.Introduction to Python Programming
2.Core Python Concepts and Syntax
3.Data Structures and Algorithms
4.Object-Oriented Programming in Python
5.Modules, Packages, and Libraries
6.Web Development with Python
7.Data Science and ML with Python
1. Introduction to Artificial Intelligence
2. Machine Learning and Deep Learning
3. Natural Language Processing (NLP)
4. Computer Vision
5. Robotics and Autonomous Systems
6. Ethics and Bias in AI
7. AI Applications and Future Trends
Angel would always keep herself available to students and help them to navigate through our labs during and post the class hour.
Know MoreBanu is definitely one of our best Python instructors, who always comes with the best-prepared example programs.
Know MoreJeba is one of the best instructors a student could ask for, when it comes to teaching OOPS concepts with real-time examples.
Know MorePandian always dreamt of becoming an Engineer with the intent of finding innovative solutions to real-life problems.
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