DataCamp Courses Completed: I have successfully completed a series of DataCamp courses to strengthen my skills in Python programming, data analysis, and visualization. These courses include:

Python Programming – Fundamental programming concepts, data structures, functions, and object-oriented programming.

Data Visualization – Creating insightful visualizations using Python libraries such as Matplotlib and Seaborn.

Data Science Fundamentals – Core concepts in data analysis, statistical modeling, and working with real-world datasets.

Pandas for Data Analysis – Data manipulation, cleaning, and transformation using the Pandas library.

Exploratory Data Analysis (EDA) – Techniques to summarize, visualize, and understand data patterns before modeling.

Time Series Analysis – Analyzing temporal data, detecting trends, seasonality, and forecasting using Python.

These courses have equipped me with practical, hands-on experience in Python-based data analytics, visualization, and predictive modeling, enhancing my ability to analyze complex datasets and derive actionable insights.