Learn Data Science with Python from Harvard at No Cost

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Python has established itself as one of the most widely used programming languages in the field of data science due to its clear syntax and extensive ecosystem of specialized libraries.

These characteristics make it an effective tool for data processing, analysis, and visualization.

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The application of data science with Python spans various sectors, from sales analysis and marketing campaign optimization in the business environment to fraud detection and risk assessment in the financial sector. Additionally, it finds utility in areas such as healthcare, security, and e-commerce, among others.

Harvard University offers the opportunity to delve into the world of data science through its online course “Introduction to Data Science with Python”.

This program is specially designed for beginners and has no cost.

Course details:

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  • Duration: 8 weeks
  • Estimated dedication: 3-4 hours per week
  • Modality: Self-paced
  • Level: Intermediate
  • Language: English (with subtitles available in several languages)
  • Open enrollment: Over 125,000 students have already registered

Course learning objectives:

  • Gain practical experience in solving real-world challenges using Python
  • Develop programming and coding skills applied to data modeling, statistics, and storytelling
  • Utilize popular libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn
  • Run basic machine learning models, evaluate their performance, and apply them to real-world problems
  • Lay the foundation for using Python in machine learning and artificial intelligence

Curriculum:

  1. Linear regression
  2. Multiple and polynomial regression
  3. Model selection and cross-validation
  4. Bias, variance, and hyperparameters
  5. Classification and logistic regression
  6. Multilogistic regression and handling missing data
  7. Bootstrap, confidence intervals, and hypothesis testing
  8. Final integrative project

To make the most of this course, it is recommended to have basic knowledge of programming (preferably in Python) and statistics.

These fundamentals can be acquired through introductory courses offered by Harvard, such as “CS50’s Introduction to Programming with Python” and “Stat110”.

Regardless of the level of previous experience, this course provides the necessary foundations to start a career in data science, a discipline in constant evolution and with growing demand in the job market.

Interested individuals can enroll now by clicking on this link.


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