Data Analysis with Python
Coursera
Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. Youâll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, youâll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, youâll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, youâll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement.
More resources on Data Analysis
towardsdatascience.com
Towards Data Science is a popular online publication offering practical tutorials, explainers, and insights on data science, machine learning, and AI. It features how-to guides, code examples, case studies, and industry or career analyses from data scientists and researchers.
datacamp.com
DataCamp is an online learning platform for data science and analytics that offers interactive, browser-based courses in Python, R, SQL, and related tools, with hands-on exercises, projects, and skill tracks. Courses emphasize practical coding practice through in-browser challenges and real-world datasets.
