Data science can best be described as a process similar to the scientific method: the goal in both is to extract insights from raw facts. It is an interdisciplinary field in that it draws techniques from statistics, mathematics, computer science and other areas. You will learn the skills, tools and necessary considerations to become a part of the data science revolution. This course shows learners the importance of data, the attributes that define big data, and the differences between machine learning and deep learning. You will acquire knowledge of machine learning and its specialized subset - deep learning - as an approach to achieving artificial intelligence. Artificial intelligence (AI) gives reasoning and analytical powers to computers similar to those of the human brain. The four essential programming languages for data science that students should consider learning are Python, R, SAS and SQL. Learners will understand the various factors that should inform their decision of which language to learn.
In the next part, you will explore data science methodology, an iterative process that starts with business understanding and ends with deployment. You will learn the steps in detail through a realistic case study. After this, you will build a simple chatbot. It is well established that customer service can be a hectic and time-consuming job for the employees of a company. A chatbot is a valuable tool to augment or replace human agents in customer service. After this, you will study GitHub, an online service that helps software development and provides code hosting for various applications. You will learn how to put your files on GitHub, collaborate with your project partners, and keep track of the work to help see changes made to the files. Additionally, you will learn how to organize a project and communicate with your partners on the code-hosting platform.
This course is for learners new to data science and those that want a big picture understanding of the field. It is also helpful for people considering a career change and unsure if data science is the right path. It offers clear and straightforward explanations of topics and divides various processes into discrete and easy-to-follow steps. Data science is expanding and opportunities are everywhere. Organizations worldwide require data scientists, business analysts and other data professionals to collect, process, and make sense of information. Become indispensable to an organization by learning the right skills. Don't miss out on the opportunity to get ahead - join the course now!
