Master Python programming essentials for data analysis, visualization, and machine learning preparation
Master Python programming essentials for data analysis, visualization, and machine learning preparation
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 Fractal 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.
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Instructors:
English
What you'll learn
Master Python data manipulation and analysis
Perform statistical analysis and data visualization
Develop data cleaning and preprocessing skills
Implement feature engineering techniques
Create comprehensive data science workflows
Skills you'll gain
This course includes:
8 Hours PreRecorded video
17 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course covers Python programming for data science applications. Students learn data manipulation with Pandas, statistical analysis, data visualization, and feature engineering. The curriculum includes hands-on projects and real-world business problems to develop practical data science skills.
Introduction to Python for Data Science
Module 1 · 3 Hours to complete
Data wrangling with Python
Module 2 · 14 Hours to complete
Exploratory data analysis
Module 3 · 10 Hours to complete
Data pre-processing
Module 4 · 7 Hours to complete
Feature Engineering
Module 5 · 4 Hours to complete
Fee Structure
Instructor
Diverse, Industry-Focused AI and Data Science Courses
Fractal Analytics, as a leading Coursera partner, provides a comprehensive suite of online courses and professional certificates in English, covering topics such as Generative AI, data science, human behavior, coding, data storytelling, responsible AI, and quantum computing. Their offerings include foundational and advanced programs like "GenAI for Everyone," "Coding with Generative AI," "Data Frameworks for Generative AI," and "Python for Data Science," catering to learners from various backgrounds and industries. These courses are designed for continuous learning, blending instructor-led, eLearning, and blended formats, and aim to equip professionals and organizations with in-demand skills for the evolving digital economy, while also supporting career advancement through recognized certifications and practical, hands-on projects
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