Basic Statistics and Data Analytics
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.
Data is the backbone of decision-making in today's world, and understanding how to analyze it is a vital skill for professionals in any field. This course introduces beginners to the fundamentals of data analytics using Python, focusing on practical techniques like data wrangling, exploratory data analysis (EDA), and regression modeling. Over three days, participants will gain hands-on experience working with real-world datasets and developing insights to inform better decisions.
This course is designed to demystify data analytics and empower participants to handle and analyze data effectively, laying a strong foundation for further exploration in the field.