Upgrading one’s skills has become crucial for every individual since the onset of digital transformation. If you are not familiar with present-day technologies like artificial intelligence, big data analytics, blockchain technology, cloud computing, the Internet of Things (IoT), or virtual reality, there are high chances that you be left behind your peers. The reason is every industry is embracing these technologies and achieving better business outcomes. Data science is yet another field that has become popular over the past few years and is something that supports the application of all the above technologies.
How do you think companies can draw valuable insights like the factors affecting revenue, which month is the highest sales, what marketing campaigns are giving the best results, or the most appreciated feature of a product? Well, it is data science working behind the scenes. Companies gather a large amount of data, clean it, analyze it, and finally visualize it to uncover hidden trends and patterns that aid in the decision-making process. In other words, data science is an interdisciplinary field that encompasses the scientific methods, systems, and processes to extract knowledge from structured and unstructured data.
Learning data science can be the most beneficial decision for your professional career. Since the applications of data science are visible in every industry, its popularity isn’t fading away any time soon. Going with the trend, many professionals are seeking online data science courses to upgrade their skills and start a promising career in this domain. To help you find the most reliable online course, we have listed the best training providers and the data science course they offer for free.
Here goes the list!
Introduction to Data Science (SkillUp by Simplilearn)
This free data science course will help you dive into many interesting topics of data science like Python libraries, algorithms, exploratory data analysis, descriptive statistics, inferential statistics, and more. Further, the instructor will explain to you the concepts of model building, fine-tuning, supervised learning, unsupervised learning, natural language processing, and ensemble learning. The course is suitable for software professionals, engineering students, and anyone who wishes to start a career in data science.
Upon enrolling, you will get access to 7 hours of comprehensive video modules with 90 days of access. Moreover, you will also achieve a course completion certificate that you can showcase on professional networking sites.
Intro to Data Science (Udacity)
Understand what it takes to become a data scientist with this free course on Udacity. As a learner, you will become familiar with topics like data manipulation, data analysis with machine learning and statistics, working with big data, and data communication with information visualization. By the end of this course, you will acquire the skills and knowledge to apply the basic techniques of data science to real-world scenarios.
This intermediate-level course involves rich learning content and interactive quizzes and can be completed within 2 months. Further, you can also sign up for advanced-level courses of Udacity like Nanodegree programs related to data science by upgrading to a paid plan.
Applied Data Science with Python (Cognitive Class by IBM)
IBM is a renowned name in the IT industry, and taking a course from such an organization is definitely going to benefit you in the long run. This free course is designed for people willing to learn how to code in Python for data science. You will understand how Python is used to clean, analyze, and visualize data. There are guided lectures and labs that will give you hands-on experience dealing with interesting data problems.
Professionals who enroll in this beginner-friendly course will reinforce their data skills in Python and use it for diving into big data, machine learning, and deep learning in Python. You will receive a digital badge upon completing the course.
Data Science Foundations: Fundamentals (LinkedIn Learning)
This free course on LinkedIn Learning, designed by Barton Poulson, is unique from others in the way that it gives you a nontechnical overview of data science. It covers the vocabulary, jobs, skills, tools, and techniques of this field. You will understand the relationships to other data-saturated fields like machine learning and artificial intelligence.
The program also involves discussions on acquiring and analyzing data, formulating rules for classification and decision-making, and drawing meaningful insights. Though the course is not entirely, you can go for the One-month free trial option offered by LinkedIn Learning to access the course for free.
Introduction to Data Science in Python (Datacamp)
Are you interested in learning Python and effectively analyzing and visualizing data but do not have any coding experience? If yes, then this introductory course on data science by Datacamp is designed for you. With 4 hours of in-depth video modules, you can begin your data science journey and understand how to use data to solve the mystery of Bayes and the kidnapped Golden Retriever.
The program will also cover the basic Python syntax and popular Data Science modules like Matplotlib and Pandas. As a learner, you will also work on 44 exercises that will test your knowledge of data science. Though you can start the course for free, you may need to pay for accessing the further modules.
Take any of the above courses, and you will soon start learning the most important concepts of data science.