Master Python for data science: analyze data, create visualizations, build machine learning models, and solve real-world data science problems.
Master Python for data science: analyze data, create visualizations, build machine learning models, and solve real-world data science problems.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Ciencia de datos con Python Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Spanish
Not specified
What you'll learn
Understand fundamental Python programming concepts and their application to data science. Perform iterative data science using Jupyter notebooks in IBM Cloud. Analyze data using Python libraries including pandas and numpy. Create effective data visualizations with matplotlib, folium, and seaborn. Build machine learning models using scipy and scikit-learn. Demonstrate proficiency in solving real-world data science problems.
Skills you'll gain
This course includes:
PreRecorded video
5 courses
Access on Mobile, Desktop, Tablet
Subscription access
Shareable certificate
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There are 5 courses in this program
Python Basics for Data Science in Spanish
Course 1 · 5 Weeks to complete0
IBM: Analyzing Data with Python
Course 2 · 5 Weeks to complete0
Visualizing Data with Python
Course 3 · 5 Weeks to complete0
Machine Learning with Python: A Practical Introduction
Course 4 · 5 Weeks to complete0
IBM: Data Science and Machine Learning - Capstone Course
Course 5 · 6 Weeks to complete0
Fee Structure
Payment options
Financial Aid
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