Acquired Skills

1. Students will acquire proficiency in utilizing the NumPy library, showcasing the ability to perform numerical operations, manipulate arrays, and conduct basic statistical analyses.
2. Participants will demonstrate expertise in using Pandas for data manipulation, cleansing, and transformation, effectively working with Series and DataFrames.
3. Students will develop skills in creating insightful visualizations using Matplotlib and Seaborn, effectively communicating trends, patterns, and insights from data.
4. Participants will be proficient in the EDA process, showcasing the ability to explore datasets, identify patterns, outliers, and extract meaningful insights through statistical methods and visualizations.
5. Students will apply data analysis skills to solve real-world problems, demonstrating the ability to analyze practical datasets and draw actionable conclusions.

Target Group

The target group(s) for a Data Analysis with Python course typically includes individuals with varying levels of expertise and professional backgrounds who seek to enhance their skills in data analysis using the Python programming language. The course is designed for: Students, Beginners in Data Analysis, Data Enthusiasts, Programmers and Developers, Business and Data Professionals, Entrepreneurs and Start-up Professionals.

Requirements

The participant must be proficient in the Python.

Course Duration/Hours

24 Hour