Course Overview:

This course provides a hands-on introduction to data analysis using Python, one of the most powerful and accessible programming languages for data science. You’ll learn the essential tools and techniques to analyze, manipulate, and visualize data, gaining practical experience with Python's most popular data analysis libraries like Pandas, NumPy, and Matplotlib.

What You'll Learn:

• Data Exploration and Cleaning: Learn how to import, inspect, and clean real-world datasets to prepare them for analysis.
• Data Manipulation with Pandas: Understand how to work with DataFrames, perform aggregations, filter and sort data, and handle missing values.
• Statistical Analysis: Get introduced to basic statistics, including measures of central tendency, correlation, and distributions.
• Data Visualization: Learn how to create impactful charts and graphs with Matplotlib and Seaborn, and how to interpret visual data.
• Working with Time Series Data: Analyze time-based data, including resampling and trend analysis.
• Introduction to Data Modeling: Explore basic methods for predicting trends and making simple forecasts.

Why Take This Course?

Data analysis skills are in high demand across industries. In this course, you'll gain practical knowledge of how to approach data-driven problems and make informed decisions based on data. By the end, you'll be equipped with the core tools to clean, analyze, and visualize data, making you ready to tackle real-world analytical challenges.