What will I learn?
The online Python statistics course (in its free or paid mode), Probability and Statistics in Data Science using Python, offers a deep dive into probability and statistics using Python. By the end of this course, you will be equipped with essential skills in probability and statistics, enabling you to tackle complex data science challenges with confidence.
This course is ideal for aspiring data scientists, analysts, and professionals. Students who are enrolling in this class should have undergraduate level education in python programming, multivariate calculus and linear algebra. The course has a rigorous and didactic approach, which combines clear and simple explanations with examples and activities that will help you consolidate your learning. The course also offers you additional resources, such as readings, videos and links of interest, that you can consult to expand your knowledge and deepen the topics that interest you the most.
This course is available on the edX platform, one of the world’s most prestigious online education platforms, founded by MIT and Harvard University. It can be taken completely free of charge or for a small fee.
Contents of the online Python statistics course, Probability and Statistics in Data Science using Python
These are the contents of the course:
- Introduction to Probability: Understand the basics of probability, including probability distributions, conditional probability, and Bayes’ theorem, laying the groundwork for advanced statistical analysis.
- Statistical Inference: Learn about statistical inference techniques, including hypothesis testing, confidence intervals, and p-values, to make data-driven decisions.
- Data Analysis with Python: Get hands-on experience with Python libraries such as NumPy, Pandas, and Matplotlib, focusing on data manipulation, analysis, and visualization.
- Random Variables and Distributions: Explore different types of random variables and probability distributions, understanding their applications in real-world data science scenarios.
- Regression and Correlation: Study linear regression and correlation techniques to identify and quantify relationships between variables, enhancing your predictive modeling skills.
- Advanced Statistical Methods: Delve into more complex statistical methods, including multivariate analysis and non-parametric tests, to handle sophisticated data analysis tasks.
Paid or free Python statistics course
The course has two modalities: free and paid. The free Python statistics course, allows you to access all the content of the course, including the videos, the readings, the exercises and the discussion forums.
The paid modality also offers you the possibility of obtaining a verified certificate from edX, which accredits your participation and approval of the course. This certificate can be of great value for your curriculum vitae, as it demonstrates your interest and competence in Python statistics. In addition, by paying for the course, you will be contributing to The University of California, San Diego and edX being able to continue offering quality and accessible courses for everyone. If you want to know more about the cost and benefits of this modality, I invite you to visit the course page on edX, where you will find all the information you need.
In conclusion, the online Python statistics course (in its free or paid mode), Probability and Statistics in Data Science using Python, offers a unique opportunity to blend statistical theory with practical Python skills. By enrolling, you’ll gain a competitive edge in the job market and be well-prepared to tackle complex data challenges. Don’t miss out on the chance to transform data into actionable knowledge, enroll today and start your journey into the world of data science!
