Data Analysis with Python
Master Python data analysis from importing data to building predictive models. Ideal for aspiring data analysts and scientists.
Master Python data analysis from importing data to building predictive models. Ideal for aspiring data analysts and scientists.
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 IBM Data Science 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.
4.7
(18,235 ratings)
4,74,697 already enrolled
Instructors:
English
বাংলা, اردو, Azərbaycanca, 1 more
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What you'll learn
Import and clean data from various sources
Perform exploratory data analysis with Python
Build and evaluate regression models
Create data visualizations and statistical analyses
Develop end-to-end data analysis pipelines
Skills you'll gain
This course includes:
1.68 Hours PreRecorded video
11 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 6 modules in this course
This comprehensive course covers the complete data analysis process using Python. Students learn essential skills from data importing and wrangling to exploratory analysis and model building. The curriculum includes hands-on practice with popular libraries like Pandas, NumPy, and Scikit-learn, focusing on real-world applications. Through practical labs and projects, learners develop expertise in data cleaning, visualization, statistical analysis, and predictive modeling.
Importing Data Sets
Module 1 · 1 Hours to complete
Data Wrangling
Module 2 · 1 Hours to complete
Exploratory Data Analysis
Module 3 · 2 Hours to complete
Model Development
Module 4 · 2 Hours to complete
Model Evaluation and Refinement
Module 5 · 2 Hours to complete
Final Assignment
Module 6 · 4 Hours to complete
Fee Structure
Instructor
Pioneering Data Scientist Bridging AI Research and Education
Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.
Testimonials
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4.7 course rating
18,235 ratings
Frequently asked questions
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