Data Analysis Using Python
Learn Python data science techniques using pandas, numpy, and matplotlib. Master data frames, visualization, and real-world analysis.
Learn Python data science techniques using pandas, numpy, and matplotlib. Master data frames, visualization, and real-world analysis.
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 Introduction to Programming with Python and Java Specialization 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.
4.5
(400 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Apply Python libraries for data analysis and visualization
Load and manipulate real-world datasets using pandas
Create data visualizations with matplotlib
Perform data aggregation and summarization
Implement data filtering and joining techniques
Skills you'll gain
This course includes:
1.4 Hours PreRecorded video
6 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course introduces students to fundamental data science techniques using Python. The curriculum covers essential concepts including Data Frames and data joining, while providing hands-on experience with industry-standard libraries like pandas, numpy, and matplotlib. Students learn to load, inspect, and query real-world data, developing practical skills in data aggregation, summarization, and visualization. Through hands-on assignments and quizzes, learners gain proficiency in analyzing complex datasets and creating meaningful visualizations to communicate insights effectively.
Loading, Querying, & Filtering Data Using the csv Module
Module 1 · 6 Hours to complete
Loading, Querying, Joining & Filtering Data Using pandas
Module 2 · 5 Hours to complete
Summarizing & Visualizing Data
Module 3 · 5 Hours to complete
Fee Structure
Instructor
Innovator in Data Science and Analytics at Wharton
Brandon Krakowsky is a Lecturer at the School of Engineering and serves as the Director of Data Science and Research at the Wharton AI & Analytics Initiative. In this pivotal role, he oversees the development of innovative analytics solutions and cultivates partnerships with companies and organizations worldwide. Brandon leads a dedicated team responsible for designing, executing, and managing data-driven research and experiential learning projects, applying cutting-edge analytics methodologies to real-world challenges.
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4.5 course rating
400 ratings
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