About the Course
This beginner-level course provides a comprehensive introduction to data analysis using Python, a powerful programming language widely used in the field of data science. Through a series of interactive lectures, hands-on exercises, and real-world projects, participants will gain practical skills in data manipulation and visualization.
The course begins with an overview of the data analysis process and an introduction to the Python programming language, including basic syntax and data structures. Participants will then learn how to work with data using popular Python libraries such as NumPy and Pandas, mastering techniques for data cleaning, preprocessing, and manipulation. Next, participants will delve into data visualization using Matplotlib and Seaborn, learning how to create informative plots and charts to explore and communicate insights from their data. The course will cover exploratory data analysis (EDA) techniques, including summary statistics, data distribution analysis, and identifying patterns and correlations within datasets.
WHO CAN ENROL ON THIS COURSE?
The "Data Analysis with Python" course for beginners is suitable for individuals with a keen interest in data analysis who want to learn how to manipulate, visualize, and draw insights from data using Python can enrol in this course to enhance their knowledge and skills.
PREREQUISITES FOR THIS COURSE
Basic Computer Skills.
Basic Mathematics.
Python Basics.
OUTCOMES OF THE COURSE
Data Manipulation Skills.
Data Visualization Abilities.
Will be able to learn how to perform exploratory data analysis to gain insights into the structure, distribution, and relationships within a dataset.