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Data Science Professional Certificate

Develop comprehensive data science capabilities using R programming through projects that address real business challenges and analytical problems.

Develop comprehensive data science capabilities using R programming through projects that address real business challenges and analytical problems.

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 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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Data Science Professional Certificate

This course includes

17 Months

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

1,13,763

What you'll learn

  • Master R programming fundamentals and statistical concepts

  • Develop expertise in data visualization using ggplot2

  • Learn data wrangling techniques with dplyr and tidyverse

  • Gain practical experience with machine learning algorithms

  • Implement real-world data science projects through case studies

Skills you'll gain

R Programming
Data Visualization
Statistical Analysis
Machine Learning
Data Wrangling
Linear Regression
Git
Unix/Linux
RStudio
Tidyverse

This course includes:

PreRecorded video

9 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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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 9 modules in this course

This comprehensive professional certificate program covers the complete data science workflow using R programming. Starting with fundamental R programming skills, students progress through visualization, probability, inference, and advanced topics like machine learning. The curriculum emphasizes practical applications through real-world case studies and uses essential tools including the tidyverse, ggplot2, and dplyr. Participants learn industry-standard practices using Unix/Linux, git, and GitHub while developing hands-on experience with data wrangling, visualization, and machine learning algorithms.

Fee Structure

Payment options

Financial Aid

Data Science Professional Certificate

This course includes

17 Months

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

1,13,763

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.