Discover Free Data Analytics Offered by Oxford University in 2024

Today, Data Science has emerged as a dynamic sector with data science being extensively used for every task performed across various industries. Oxford University, a renowned institution known for its excellence in education offers a range of short-term courses in Data Science.

The Department for Continuing Education at Oxford University is offering a wide range of free courses from Python Programming on Data Science to courses on applications of Data Science for a pandemic. These courses are catered for beginners as well as professionals working under tight deadlines as they offer flexibility to individuals worldwide. These free data analytic courses include fundamental topics on data science to advanced data science for professionals willing to widely explore the field of data analytics. for professionals willing to widely explore the field of data science.

1. Python Programming in Data Science – Part 2

You can have a deep dive into deep learning, machine learning, and natural language processing. This course explains to the students about data science tools and methodologies rather than providing theoretical knowledge on data analysis. It is tailored for students who do not have much knowledge about data science and are not from any mathematical background. For successful completion of the course, students are required to complete an assignment that will be assigned based on the course. Students will learn to leverage machine learning algorithms for data extraction using Python libraries from this course and also get to know how to handle scaling issues in Big Data.

 2. The Data Science of Family History

As the name suggests, this course may seem to excite you to explore the genealogical data of individuals. The students will learn the information that genealogical DNA tests are likely to reveal and analyze the ancestral history and tribe origin.  The course also explains how datasets can help in finding our ancestral origin as well as there are challenges involved.

3. Pandemic Data Science

The pandemic response can be considered a great success in the field of data science as it played a huge role in it. The Pandemic Data Science course covers the critical role and contribution of data science in the healthcare sector during the pandemic. In this course, students get to know about the data analytical approaches and the extreme challenges faced in the field of data science and artificial intelligence community during the period of pandemic. The candidates will also learn the way data analysis has helped in framing the government policy and vaccination strategies in response to the pandemic.

4. Intermediate Linear Algebra

This course involves fundamental mathematics used in the area of data analysis. The course covers Linear Algebra – Rank-Nullity Theorem and Rank-Nullity Theorem as well as the basics of Inner Product. With real-world examples and step-by-step tutorials, students will learn to solve linear equations. The students will also get an introduction to the central concept of vector space.

5. Python Pandas for Data Manipulation

Students will get to learn about data cleaning, finding missing values, and replacing specific values. The individuals will gain an understanding of multi- and hierarchical indexes as well as multi-row headers. The course will also cover SQL for merging, transposing, and finding duplicate values. The course also discusses data binning, and data aggregations and also covers the basic part of data visualization.

With an emphasis on equipping students with data science skills, Oxford University provides excellent opportunities for students as well as working professionals looking to upskill their coding language skills. These courses work as essential resources and offer valuable data analytic skills that can be used across various domains.