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Python for Data Science

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:

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Python for Data Science

This course includes

38 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

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

Python Programming
Data Analysis
Data Cleaning
Feature Engineering
Data Visualization
Pandas
Jupyter Notebooks
Statistical Analysis

This course includes:

8 Hours PreRecorded video

17 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Fractal Analytics
Fractal Analytics

4.4 rating

16 Reviews

83,137 Students

19 Courses

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

Python for Data Science

This course includes

38 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.