Data science has become indispensable across industries, driving informed decision-making and uncovering valuable insights from data. This course is designed for professionals seeking to leverage data science techniques and tools to extract meaningful information from data and drive organizational success. From data wrangling to predictive modeling, this course covers key concepts and practical skills essential for professionals in today's data-driven world.
Data Science for Professionals
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain the principles and processes of data science.
Perform data manipulation and cleaning using Python.
Apply statistical analysis and data visualization techniques to interpret data.
Build and evaluate predictive models using machine learning algorithms.
Skills you'll gain
Details to know
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Recently updated!
July 2024
Assessments
1 assignment
Taught in English
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There is 1 module in this course
Data science has become indispensable across industries, driving informed decision-making and uncovering valuable insights from data. This course is designed for professionals seeking to leverage data science techniques and tools to extract meaningful information from data and drive organizational success.
What's included
11 videos4 readings1 assignment2 discussion prompts
Instructor
6 Courses2,027 learners
Offered by
Recommended if you're interested in Data Analysis
University of California, Davis
Corporate Finance Institute
University of Colorado System
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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