Introduction to Data Science with Python offered by Harvard University
- Private University
- 3 Campuses
- Estd. 1636
Introduction to Data Science with Python at Harvard University Overview
Introduction to Data Science with Python
at Harvard University
Duration | 8 weeks |
Total fee | ₹199 |
Mode of learning | Online |
Difficulty level | Intermediate |
Course Level | UG Certificate |
Introduction to Data Science with Python at Harvard University Highlights
Introduction to Data Science with Python
at Harvard University
- Earn a certificate of completion from Harvard University
Introduction to Data Science with Python at Harvard University Course details
Introduction to Data Science with Python
at Harvard University
Skills you will learn
What are the course deliverables?
- Gain hands-on experience and practice using Python to solve real data science challenges
- Practice Python coding for modeling, statistics, and storytelling
- Utilize popular libraries such as Pandas, numPy, matplotlib, and SKLearn
- Run basic machine learning models using Python, evaluate how those models are performing, and apply those models to real-world problems
- Build a foundation for the use of Python in machine learning and artificial intelligence, preparing you for future Python study
More about this course
- Data science is an ever-evolving field, using algorithms and scientific methods to parse complex data sets
- Data scientists use a range of programming languages, such as Python and R, to harness and analyze data
- This course focuses on using Python in data science
- By the end of the course, you?ll have a fundamental understanding of machine learning models and basic concepts around Machine Learning (ML) and Artificial Intelligence (AI)
- Using Python, learners will study regression models (Linear, Multilinear, and Polynomial) and classification models (kNN, Logistic), utilizing popular libraries such as sklearn, Pandas, matplotlib, and numPy
- The course will cover key concepts of machine learning such as: picking the right complexity, preventing overfitting, regularization, assessing uncertainty, weighing trade-offs, and model evaluation
- Participation in this course will build your confidence in using Python, preparing you for more advanced study in Machine Learning (ML) and Artificial Intelligence (AI), and advancement in your career
Introduction to Data Science with Python at Harvard University Curriculum
Introduction to Data Science with Python
at Harvard University
Computer Science, Data Science
Introduction to Data Science with Python at Harvard University Faculty details
Introduction to Data Science with Python
at Harvard University
Pavlos Protopapas
Designation : Scientific Program Director, Institute for Applied Computational Science, John A. Paulson School of Engineering and Applied Sciences, Harvard University
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Introduction to Data Science with Python at Harvard University Contact Information
Introduction to Data Science with Python
at Harvard University
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