Today Data Science is of the best jobs in the IT industry today. The data is being produced exponentially every day and thus, it is appropriate to say that the demand for data analytics is going to increase in the time to come. A certificate in data science is a great way to boost employability. No matter, if you are a student who wants to kick start his career or a professional who wants to explore new career options, data science courses will help you to develop all the necessary skills that the recruiters might look for. Below is a list of the best data sciences courses that you can pursue online.

• Data Science Specialization- Coursera

This Data Science Specialization is a 10-course introduction to the tools and concepts that you will need throughout the data science channel and is taught by renowned professors on the Coursera platform. There are 10 courses in this certification program that cover tools that data analysts and data scientists work with. It will allow one to demonstrate their data science skills to potential employers.

Key Highlights-

• Perform regression analysis.
• Create models using formal techniques.
• Use R to clean, analyze, and virtualize data.

• Complete Data Science Bootcamp-Udemy

The complete data science Bootcamp program from Udemy provides the entire toolbox that you will need to become a data scientist. It takes you from the basics to advanced machine learning, mathematics, statistics, and more. This course is based on 27 hours of an on-demand video, 88 articles, and 144 downloadable resources. This course here is the most effective, structured, and time-efficient data science training that you can do online.

Key Highlights-

• Understand the mathematics behind machine learning.
• Learning pre-processing data
• Be able to create machine learning algorithms.

• Machine Learning A-Z- Udemy

Machine learning is a challenging field and is a broad subject. To excel in this, one needs to learn instructions in both Python and R programming languages. This course provides one with a clear pathway into the world of machine learning to teach complex theory. The course is very detailed and goes deep into all hidden aspects of machine learning. With over 44 hours of video content, you can excel at this course. It is packed with practical exercises that are based on real-life examples, so one gets hands-on the working models.

Key Highlights-

• Master the entire Machine Learning workflow in Python and R.
• The course is constantly updated and new materials are added regularly.
• Access to a comprehensive Q&A section that addresses most of the common issues.

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• Python for Data Science and Machine Learning- Udemy

The Python for Data Science and Machine Learning is one of the most sought-after courses in data science and machine learning fields. This course is available with over 25 hours of video content that takes the student through a Python crash course. The course is well-structured and starts with a crash course in Python, moving to data analysis and data visualization. In the last, the course also covers how to use Python in machine learning. It focuses on applied learning and the student can learn a lot while going through this course.

Key Highlights-

• Learn to use Python for Machine Learning and Data Science.
• Teaches to spark Big Data Analysis.
• Explore Natural Language Processing and Spam Filters.

• Deep Learning Specialization- Coursera

Everyone knows that deep learning and machine learning skills are highly in demand. If you want to build a career in AI, then this course is just for you. It is delivered as 5 courses; it teaches foundations of deep learning, how to build neural networks, and to lead successful machine learning projects. The course curriculum has been carefully designed, keeping in mind the need of those who pursue it. You just need to have basic knowledge of mathematics and machine learning along with a programming background to take the course. This is one of the most sought-after programs on deep learning that will benefit you in your career.

Key Highlights-

• After this, you will be able to build, train, and apply fully connected deep neutral networks.
• Understanding of how neutral networks work.
• Additional knowledge of Python.