Here is the list of the top 10 MOOCs for learning data science for the year 2023

Aspiring technologists will find several employment options in data science. The need for experienced and talented data scientists is tremendous, and compensation and benefits are plentiful. Organizations all across the world are beginning to see the importance of learning data science and data-driven decision-making. Meanwhile, to meet the growing demand for skilled data scientists, institutes and universities worldwide have decided to offer advanced data science courses, both online and offline, to ensure that aspiring techies can pursue this evolving domain and contribute to the development of the tech ecosystem. Similarly, data science MOOCs have been launched by online education companies. MOOCs for learning Data Science are free online classes that anybody may join. They are an inexpensive and adaptable way to acquire new skills.

In this article, we have listed the top 10 MOOCs for learning data science for the year 2023. Read to know more about them in detail.

1. Intro to Data Science by Udacity

Instead, of focusing on a particular topic in depth, the class will emphasize the breadth and concise presentation of the themes. This will allow you to experiment with and apply fundamental data science approaches in real-world scenarios.

2. Measures of Central Tendency Offered by Great Learning

This course will address central tendency principles for data scientists. It all starts with helping students comprehend the significance of numbers. It then moves on to subjects like forms of statistics and data, before delving into central tendency and measures of dispersion, giving a solid foundation for aspiring data scientists to connect with the principles of data science.

3. Modelling for High-Throughput Experiments and Statistical Inference offered by Harvard University on edX

Students will study multiple testing difficulties, error rates, q-values, error rate regulating strategies, false discovery rates, and exploratory data analysis in this course. It also introduces statistical modeling and how it is used with high-throughput data. It positions itself as one of the top data science MOOCs in 2023 by providing various instances of how these principles are utilized in next-generation sequencing and microarray data.

4. Case Studies in Functional Genomics Offered by Harvard University on edX

This program shows how to complete the conventional processing and normalization processes, beginning with raw data, to get to the stage where relevant biological topics may be investigated. Students can utilize exploratory plots to acquire a basic overview of the form of the data and the result of the experiment throughout the course's case studies.

5. Introduction to Data Science Specialization Offered by IBM

This specialization will expose students to data science and the work of data scientists. They'll understand how data science may be used across disciplines and how data analysis can help them make data-driven choices. Furthermore, the training will allow students to begin their careers in the industry without any prior understanding of computer science or programming languages.

6. Data Processing Using Python Offered by Coursera

This course is built around financial information. Learners can more vividly feel Python's simplicity, elegance, and resilience by establishing popular case studies. It also examines Python's quick, easy, and efficient data processing capabilities in humanities and social sciences sectors such as engineering, literature, science, and business.

7. Foundations of Data Science Offered by Coursera

An academic team from Goldsmiths, University of London created this MOOC. It will immediately expose participants to key data science topics to prepare them for intermediate and advanced data science courses. It focuses on the statistics, fundamental mathematics, and programming abilities required for ordinary data analysis jobs.

8. Data Science Foundations Offered by Great Learning

The Data Science Foundations course provides participants with an introduction to the subject as well as insights into the many stages of its life cycle. The course covers subjects such as diverse data science tasks and several programming languages that may be used to efficiently complete the tasks.

9. Data Science Math Skills Offered by Duke University through Coursera

This course is intended for learners who have basic maths abilities but have not studied algebra or pre-calculus, as well as learners who have basic maths skills but have not taken algebra or pre-calculus. Data Science math skills introduce the essential arithmetic on which data science is based, with no added complexity, one at a time, introducing unexpected topics and math symbols.

10. High-Dimensional Data Analysis Offred by Harvard University on edX

This program is ideal for those who want to learn about data analysis and interpretation. It begins with studying the mathematical notion of distance and progressing to the use of singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling, as well as its link to principal component analysis.