There has never been a better time for data scientists as traditional databases are being replaced with offerings by new players in recent years. A lot of innovations are coming up in database technologies, changing the way to do business forever. Doing online Data Science courses can help you seize the moment and boost your career.
What is a data scientist
A data scientist collects raw data and combines it with analysis to give business insights to organisations. These professionals possess a solid understanding of Maths, algorithms, human behaviour and the industry they are working in. They are mostly recruited in the finance, retail and e-commerce sectors. Apart from them, they are also being employed by global telecom companies, oil and gas companies, and transport companies.
Here are the best online Data Science courses for beginners:
Foundations: Data, Data, Everywhere by Google — by Coursera
Offered by the tech giant Google, this five-week course is the first step towards the Google Data Analytics Certificate programme. It teaches the skills required to apply for entry-level data analyst jobs. Organisations employ data analysts to assist them in improving their processes, identifying opportunities and trends, launching new products and making sound decisions. The course will introduce you to Data Analytics through a hands-on curriculum designed by Google.
Python for Data Science and Machine Learning Bootcamp — by Udemy
This thorough course demonstrates how to leverage Python's capability to analyse data, generate stunning visualisations and implement sophisticated machine learning algorithms. You'll learn here how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-learn, Meeshkan, TensorFlow, Keras and other popular Python machine learning and deep learning libraries. This 30-hour course is suitable for both beginners and experienced programmers.
Data Science for Beginners — by MyDataCareer
This course is for those who want to pursue a career in Data Science. It illustrates with examples and activities the different sorts of challenges, methods/techniques, and jobs available in Data Science. It explains to you how machine learning works and describes in detail how Data Science applications like GitHub can allow you to collaborate with your peers. The purpose of this six-hour course is to familiarise you with Data Science methodology, principles and computer languages.
Machine Learning by Stanford University — by Coursera
Going for this popular course, you can get a general overview of Machine Learning, Data Mining and Statistical Pattern Recognition in just 11 weeks. Renowned computer scientist Andrew Ng teaches this course, drawing on a variety of case studies and applications. Here you will learn the fundamentals of Data Science such as how to apply algorithms to the development of smart robots, text understanding, computer vision, medical informatics, and audio and database mining.
Grokking Data Science — by Educative
This 10-hour-long course gives an overview of Data Science and teaches important aspects of the domain including Machine learning. It's an interactive text-based course that lets you run code in your browser. Coding has become an integral part of new edge technologies and this course lets you learn coding as part of the Data Science toolkit.
Introduction to Machine Learning by Duke University — by Coursera
This six-week course will teach you the basics of machine learning models like logistic regression, multilayer perceptrons, convolutional neural networks and natural language processing. Here you will also learn how these models can solve complex problems in a variety of industries — from medical diagnostics and image recognition to text prediction.
Getting Started with AWS Machine Learning by Amazon Web Services (AWS) — by Coursera
This five-week course is taught by AWS’s senior technical trainer Blaine Sundrud. Here you will learn the fundamentals of AWS Machine Learning and some industry-specific key topics like Machine Learning on AWS, Computer Vision on AWS and Natural Language Processing (NLP) on AWS. Each of these topics comprises several modules containing a variety of ML concepts, AWS services and expert insights.
What is Data Science? by IBM — by Coursera
This course offers the opportunity to interact with some Data Science professionals and an overview of the importance of Data Science. The professionals will explain to you why Data Science is regarded as the prime field of generating jobs in the 21st century. Here you will also learn the various routes that can lead to a career in Data Science. This three-week introductory course is applicable to a variety of specialisations or professional certificate programmes, including IBM AI Foundations for Business Specialisation and Key Technologies for Business Specialisation.
Learn about Data Science — by Codecademy
This interactive course attempts to make sense of the data that surrounds us. It demonstrates how learning Data Science can assist you in making educated decisions, creating stunning visualisations and even using Machine Learning to try to anticipate future events.
Careers in Data Science A-Z — by Udemy
This course teaches how one can become a data scientist by offering practical tips and methods. This six-hour course is for you if you want to learn how to use key insights, guidance, hacks and tricks, and recommendations. Here you will learn how to apply your knowledge and take your career to the next level.