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Python for Data Science and Machine Learning

Learn Python programming tailored specifically for data analysis and machine learning, from basic syntax to advanced applications.

Learn Python programming tailored specifically for data analysis and machine learning, from basic syntax to advanced applications.

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 Python for Data Science and Machine Learning 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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Python for Data Science and Machine Learning

This course includes

4 Months

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

45,935

What you'll learn

  • Master Python programming for data science applications

  • Develop expertise in using essential Python libraries

  • Build and evaluate machine learning models

  • Work with regression models and decision trees

  • Gain practical experience with real-world datasets

Skills you'll gain

Python Programming
Data Science
Machine Learning
Regression Models
Data Analysis
Pandas
NumPy
Matplotlib
SKLearn
Decision Trees

This course includes:

PreRecorded video

2 courses

Access on Mobile, Desktop, Tablet

FullTime access

Shareable certificate

Get a Completion Certificate

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

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Certificate

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 2 modules in this course

This comprehensive professional certificate program combines Python programming with data science and machine learning applications. Students learn to solve real-world data problems using popular Python libraries like Pandas, NumPy, Matplotlib, and SKLearn. The curriculum covers essential concepts including regression models, decision trees, and random forests. Through hands-on practice, participants develop skills in building and evaluating machine learning models while learning to recognize and avoid data bias.

Fee Structure

Payment options

Financial Aid

Python for Data Science and Machine Learning

This course includes

4 Months

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

45,935

Testimonials

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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.