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Learn data analysis with Python, from data collection and cleaning to building and evaluating machine learning models. Gain hands-on experience with Pandas, Numpy, scipy, and scikit-learn. Earn an IBM digital badge upon completion.
This course teaches the vital skills to manipulate data using pandas, perform statistical analyses, and create impactful visualizations. Learn to solve real-world business problems and prepare data for machine learning applications.
Choose from a wide range of Data Analysis with Python courses offered by top universities and industry leaders tailored to various skill levels.
This week you will focus on modeling data with Python and interpreting the model results. You complete a data analytics challenge that applies the knowledge of Python and the application of the OSEMN framework you have gained throughout the course.
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib.
Learn the basics of Python for data science, including lambdas, CSV manipulation, and the numpy library. Master data cleaning and manipulation with pandas, and perform basic statistical analyses. Ideal as a prerequisite for advanced data science courses.
The Google Data Analytics Certificate features practical training and hands-on activities to help you leverage AI for data analytics. Learn how to use AI to help with ideas for data visualization, data cleaning, and data structuring directly from Google experts.
Those with some experience might benefit from intermediate courses focusing on advanced statistical methods, programming for data analysis using Python or R, and building data dashboards.
This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them.
In this program, you’ll learn basic data analysis principles, how data informs decisions, and how to apply the OSEMN framework to approach common analytics questions. You’ll also learn how to use essential tools like SQL, Python, and Tableau to collect, connect, visualize, and analyze relevant data.