Python Programming

This 2-day Python for Web Scraping course teaches professionals how to extract structured data from websites using Python, BeautifulSoup, and Selenium—then clean, store, and automate the data for business reporting.

This 2-day Python for Machine Learning course teaches professionals how to build supervised ML models using pandas, NumPy, scikit-learn, and Matplotlib—covering prediction, evaluation, visualization, and deployment.

The Python Essentials Bootcamp (3 Days) is an immersive, hands-on program designed for beginners eager to start their coding journey. Participants will learn Python fundamentals — from syntax, loops, and functions to working with files and building simple automation scripts. Through interactive labs and mini-projects, learners gain practical experience in problem-solving, modular programming, and object-oriented design. By the end of the course, participants will have written real code, built small applications, and developed the confidence to continue exploring programming independently. Whether you’re new to coding or seeking to automate everyday tasks, this bootcamp provides a solid foundation in Python for real-world use.

This 2-day Python for Work Automation course teaches professionals how to automate files, Excel reports, and data cleanup using Python. Build reusable scripts and deploy automated workflows with AI-assisted coding.

This 2-day Python for Data Analysis and Visualization course teaches professionals how to clean, analyze, and visualize data using Pandas, NumPy, Matplotlib, and Seaborn—replacing manual spreadsheets with scalable analytics workflows.

The Power BI for AI-Enabled Business Intelligence with Python (3 Days) course bridges artificial intelligence and data visualization, empowering professionals to generate insights through predictive analytics. Participants will learn how to build AI models using Python and visualize their outcomes interactively with Power BI. Through hands-on exercises and real-world examples, learners will explore data preparation, machine learning techniques, and the integration of AI models into Power BI dashboards. Designed for data analysts, IT professionals, and business decision-makers, this course provides the skills to transform raw data into intelligent, AI-powered reports that support strategic decision-making and innovation.

This 2-day Python Programming for Beginner course teaches core Python skills with the help of AI coding assistants. Learn syntax, logic, data structures, functions, and OOP using modern, AI-assisted workflows.

The Basic Statistics and Data Analytics (3 Days) course introduces beginners to the essential skills needed to analyze and visualize data effectively. Participants will learn how to use Python, Pandas, Matplotlib, and Seaborn to clean, transform, and explore datasets. The program covers descriptive statistics, exploratory data analysis (EDA), and regression fundamentals, enabling learners to extract meaningful insights and present them visually. Designed for professionals, students, and aspiring data analysts, this hands-on course provides practical experience using real-world datasets, building a solid foundation for future learning in data analytics, machine learning, and AI.

Master the power of Python to analyze, visualize, and predict with data. The 5-day Applied Python for Data Analysis and Machine Learning course takes learners from foundational programming to advanced data manipulation, visualization, and predictive modeling. Using key libraries like Pandas, NumPy, Matplotlib, and Scikit-learn, participants will build real-world solutions through hands-on projects. The course also introduces web scraping, database integration, and natural language processing for text analytics. Designed for analysts, engineers, and data professionals, this program equips you with the essential coding and analytical skills needed to handle data confidently and apply machine learning effectively in any industry.