Machine learning has revolutionized the workplace with its self-learning algorithms and simple data input methods. The way companies handle data these days and derive certain outcomes out of it has changed a lot after the advent of Artificial intelligence techniques. You can now optimize the performance of any task and derive a series of benefits for business and consumers as well. That is why coding bootcamps are also focusing on dedicated data science courses to help budding coders gain ample experience.
The top 5 online data science courses for you:
You don’t have to spend a fortune for online data science courses as there are a few good coding camps that train you within a span of 5-6 months to be a data analyst. So if you are interested to learn data science, here are the top courses you can do:
MicroMasters Program: Data Science and Statistics
This course focuses on building the foundations of statistics, data science and machine learning and is designed to help students become data analysts, system analysts, data scientists and engineers among other top titles for leading IT companies.
Machine learning for business professionals
This Google cloud course is for non-technical professionals. It helps students learn how to formulate machine learning algorithms, and perform AI responsibly without reinforcing existing bias. Students learn how to apply machine learning to real-life problems and identify if the given data is enough to solve the problem at hand.
Data science specialization
This course is designed to help learners manipulate data sets, create visualizations, and make inferences to publish results. It includes various tools that even experienced data scientists work with like RStudio, Regression models, GitHub, version control, and Statistical interference, etc. Having a little knowledge of Python is considered good before enrolling in this course.
Applied Data Science with Python specialization
This course is designed to help budding programmers have basic knowledge and understanding of data to manipulate it for better results. It focuses on the application of machine learning, text analysis, information visualization, and social network analysis. You can learn models of network generation with this course.
Deep learning specialization
Students can learn foundation of deep learning and how to lead machine learning projects successfully with this course. It teaches you how to build neural networks at a beginner to mid-level. You learn about RNNs, Adam, Convolutional networks, Dropout, BatchNorm, and more such tools to become an expert in data science application.
To help gain a better understanding of Machine learning concepts, you can enroll in SynergisticIT and unlock a plethora of career paths in the leading industries.
Also, Read This Blog: Future of Machine Learning – Why should you Learn it too?