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The expanding technological advancements are increasing the need for efficient professionals to handle data. This in turn is raising the job opportunities for good data scientists.
Simultaneously, this phenomenon increases the requirement for good data science courses. Platforms like Coursera, Udemy, and edX allow data science learning suited for the different needs of the learners. This article will guide you through some of the top courses available in 2024 across all of these platforms.
Description: This is a full career course in data science covering any of the following: visualization, machine learning, and data analysis using Python and SQL.
Duration: Approximately 10 months to complete.
No prior experience is given but hands-on projects and you get a Professional Certificate from IBM upon its completion.
Description: Specialization includes 10 courses that cover the entire pipeline of data science, from data collection and cleaning to analysis and visualization, heavily using the R programming language.
Duration: Approximately 11 months to complete.
Key Features:
Real-world projects
Peer-reviewed assignments
A capstone project which will include the creation of a data product.
Description: This specialization specializes in applying data science using Python. It includes courses on data visualization, machine learning, text analysis, and social network analysis.
Duration: It takes approximately 5 months to complete
Key features: Practical assignments with well-known Python libraries such as pandas, matplotlib, scikit-learn, and network.
Description: This course starts with foundational data science, culminating in topics like machine learning and deep learning. It also has practical exercises and projects.
Duration: 28.5 hours of video on demand
Key Features: Lifetime access, certificate of completion, and view on mobile and TV.
Description: This is a data science and machine learning course to learn Python. It covers topics based on practical subjects such as data analysis, visualization, and algorithms with machine learning.
Duration: 25 hours of on-demand video. Top Features: Hands-on projects, lifetime access, and certificate upon completion.
This course is going to take you through an entire journey of the machine learning world using both Python and R. It unfolds a wide range of algorithms as well as techniques.
Duration: 44.5 hours of on-demand video.
Key Features: Practical exercises, lifetime access, and a certificate of completion.
Description: This professional certificate program equips you with the skill set required to apply real-world data science problems. Topics include data wrangling, data visualization, probability, and machine learning.
Duration: 1 year or so.
This program integrates practical key features through real-world case studies, hands-on projects, and a professional certificate from Harvard University.
Whether you prefer a structured environment to learn in, complete with certification through professional learning, or one who thrives in more flexible, self-paced learning, there are perfect data science courses for you.
Coursera offers quite diverse and very comprehensive courses based upon top universities and organizations, including IBM and Johns Hopkins. These are perfect for learners who look for detailed education complete with hands-on projects that can better their chances as a working professional in data science.
On the other hand, Udemy is flexible and practical with learners on courses where lifetime access often takes place, in which the learner focuses on a particular area of study like machine learning or Python for data science, at their own pace.
Learners looking into university-level programs that are prestigious can use edX to give them professional certificates from universities such as Harvard University, thereby giving them a form of recognized credential to advance their careers. No matter what your background or learning style, these platforms have a plethora of options for building data science expertise.
