Data science is the collection, organisation and analysis of data that helps extract useful insights with the successful application of skills such as programming skills, analytical skills, artificial intelligence, mathematical skills, and so on. Data science applies to finding hidden patterns, deriving meaningful information, making business decisions, and building predictive models.
Almost every organisation depends on data science for improved decision-making that, in turn, helps increase profits. Data science is applicable in handling various types of datasets in different organisations, opening up different roles for data science course holders. These job roles include data analyst, data scientist, business analyst, data engineer, statistician, data architect, and many more.
There are lots of online platforms offering hundreds of courses related to data science. Learners can choose the course of their choice from the best data science courses online listed in the table below.
| Course | Platform | Duration | Rating |
| The Data Science Course | Udemy | 31 hours | 4.6 |
| Intro to Data Science | Udemy | 5 hours | 4.5 |
| MSc Data Science | Coursera | 24 months | – |
| Bachelor of Science in Data Science | Coursera | 4-8 years | – |
| Foundations of Data Science | Coursera | 23 hours | 4.7 |
| Data Science Methodology | Coursera | 6 hours | 4.6 |
| Data Science Foundations | Linkedin Learning | 5 hours 17 minutes | 4.7 |
| Learning Data Science | Linkedin Learning | 1 hour 16 minutes | 4.6 |
| Professional Certificate in Data Science | edX | 1 year 5 months | – |
| Data Science: Data-Driven Decision Making | FutureLearn | 12 weeks | – |
| Data Science for Business Leaders | Udacity | 4 weeks | 4.4 |
| Introduction to Data Science | Udacity | 3 weeks | – |
The Data Science Course – Udemy
The course ‘The Data Science Course’ offered by Udemy prepares the learners to become data scientists. While pursuing the course, learners will understand the mathematics behind machine learning. Learners will study under-lifting, over-lifting, training, validation, etc. to improve machine learning algorithms. Learners will also learn coding in Python and its use for statistical analysis.
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Intro to Data Science – Udemy
‘Intro to Data Science’ is a course offered by Udemy. While pursuing the course, candidates will learn various data science concepts such as the entire data science process, database concepts, and visualisation for data mining, and presentation. Learners will also learn the essentials of machine learning, cloud concepts and applications in data science, statistical fundamentals, and Python for data science.
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MSc Data Science – Coursera
The course ‘MSc Data Science’ is offered by Coursera. After completing the course, candidates will be ready to step into senior roles in various industries including healthcare, retail, government, etc. Learners will learn the various presentational approaches, enabling learners to tell stories with data. While pursuing the course, learners will be able to build expertise in fields such as exploratory data analysis, project skills, statistical computing, statistical methods, and machine learning.
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Bachelor of Science in Data Science – Coursera
The course ‘Bachelor of Science in Data Science’ offered by Coursera is a UG-level course to prepare learners for the evolving tech landscape. Students will learn the topics in artificial intelligence such as deep learning, deep representation learning, deep generative models and applications, and AI ethics. Candidates will also be able to build strong programming foundations in Python, C, R, and Java.
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Foundations of Data Science – Coursera
The course ‘Foundations of Data Science’ is a beginner-level course offered by Coursera. While pursuing the course, learners will be able to understand common careers and industries that use advanced data analytics. Candidates will also learn to investigate the impact of data analysis on decision-making. After completing the course, learners will be able to preserve data privacy, and ethics and develop a project plan considering the roles and responsibilities of team members.
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Data Science Methodology – Coursera
The ‘Data Science Methodology’ course offered by Coursera is a beginner-level course where learners will learn about the data science methodology. Learners will also learn to apply the six stages in the cross-industry process for data mining to analyze a case study and determine appropriate sources for data science analysis methodology. On completing the course, learners will also be able to evaluate appropriate analytical models among predictive, descriptive, and classification models used to analyze a case study.
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Data Science Foundations – LinkedIn Learning
The course ‘Data Science Foundations’ is a course offered by LinkedIn Learning that provides an accessible, nontechnical overview of the field. The course covers skills, tools, jobs, vocabulary, and techniques of data science. Learners will learn the primary practices such as gathering and analyzing data, formulating rules for classification and decision-making, and drawing actionable insights. On completing the course, candidates will learn how data science helps in making better decisions, gaining deeper insights, and making learner’s work more efficient and effective.
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Learning Data Science – LinkedIn Learning
The course ‘Learning Data Science’ is a course offered by LinkedIn Learning. The course is a beginner-level course designed for learners who don’t want to be full-time data scientists. The course includes topics such as big data concepts, tools, and techniques including sorting and gathering data, and applying statistical analysis. The course will help learners to speak the language of data science so that earners can guide an organization through the opportunities and limitations in this growing field.
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Professional Certificate in Data Science – edX
‘Professional Certificate in Data Science’ is a course offered by edX. The course aims to help learners learn fundamental R programming skills, statistical concepts such as probability, inference, and modelling, and their practical applications. Learners will also gain experience with tidyverse, including data visualisation and data wrangling with dplyr. While pursuing the course, candidates will become familiar with essential tools for practising data scientists like Unix/Linux, git and GitHub, and RStudio. On completing the course, candidates can implement machine learning algorithms and gain in-depth knowledge of fundamental data science concepts.
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Data Science: Data-Driven Decision Making – FutureLearn
‘Data Science: Data-Driven Decision Making’ is a PG-level course offered by FutureLearn. While pursuing the course, learners will learn the process of tidying, harvesting, and wrangling data and applying statistical models to simulate complex functions. Learners will also learn the development of effective data visualisation for decision-making and communicating messages to others by utilising principles of cognitive perception and grammar of graphics. Learners will also explore the essential ethical, legal, and organisational issues of data collection and management and gain skills required by a data scientist.
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Data Science for Business Leaders – Udacity
The course ‘ Data Science for Business Leaders’ offered by Udacity is a course that consists of lessons important for a business, articulation of the business’s strategic objectives, the human capital component of data science, and creating a data and data architecture strategy. Learners will also work on a capstone project while pursuing the course where learners prepare a 100-day data science plan for a company of their choice.
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Introduction to Data Science – Udacity
The course ‘Introduction to Data Science’ is a beginner-level course offered by Udacity. In this course, learners will learn the data science process, including how to build effective data visualizations and how to communicate with various stakeholders. Learners will gain skills such as predictive analytics, data storytelling, exploratory data analysis, Github portfolios, etc.
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