Data Science Foundations
Current innovations in the technological field have opened new dimensions and possibilities across all domains, especially taking into consideration the increasing amount of usage of mobile devices, web applications, and the internet of things, data is being created at high volumes and high speed. Due to this trend, the domain of data science has adopted innovative approaches and modern solutions to handle and make sense of the data. However, the majority of these approaches have their origin in traditional statistics which provided a strong foundation for other techniques and algorithms to expand and increase their capabilities. For most organizations and individuals today, making sense of the data and utilizing it to increase efficiency, improve decision making or predict future trends has become an important necessity.
During this online course, attendees will be able to familiarize themselves with the core concepts and notions of the data science domain. Furthermore, the course takes a consistent approach to discuss first the general understanding of data science, big data, and the latest tools and frameworks for storing, preprocessing, and modeling data. The most important and common algorithms of machine learning are elaborated with the support of statistical evidence and use cases to help the reader get a better understanding of why data science is important and how it originated. This online course consists of (5) five modules, providing an introduction to the data science domain with a brief overview of core concepts, discussing big data and methods of storing and manipulating data, dives deeper into machine learning with the unsupervised learning and supervised learning modules, and lastly concluding the course with the latest and innovative applications and use cases that rely on data science.
Upon the successful completion of the course, the student will become familiar with the essential concepts of data science and will be able to:
- Learn about the data science domain and its subdomains.
- Understand what are the phases and outputs of a data science project.
- Familiarize with the most recent data science toolbox.
- Understand what is Big Data and what steps involves.
- Learn how to store and manipulate data.
- Understand and use the most common data visualization techniques.
- Learn about Unsupervised Learning and its algorithms.
- Learning about Supervised Learning and its algorithms.
- Understand the importance of Data Science through discussed applications and use cases.
Course Modules & Duration:
The Data Science Foundations online course is equivalent to 8 (eight) hours to complete – including the final quiz.
|Module 1: Introduction to Data Science
|Module 2: Big Data
|Module 3: Supervised Learning
|Module 4: Unsupervised Learning
|Module 5: Applications & Use Cases
|Final Quiz: A quiz that consists of 27 questions (Passing score 60%)
As soon as you finish the online course, you can download your Certificate of Achievement. This will also be accessible in your account any time you log in. Your Certificate of Achievement includes the online course you have studied, your name, the date of completion, and a verification number that can be used by future employers to verify that you passed your course.
The Data Science Foundations online course is divided into manageable modules and topics. Go through these modules at your own pace and learn about each of the topics in the online course. We use images, written information, diagrams, and other resources to help you get to know the content without any problems. This online course is designed to progress without any assistance, but our support staff can be contacted if you need us.
Follow this link to download the: Navigation Guide for the Data Science Foundations online course. If you have any further question or require further support, please do not hesitate to contact us at firstname.lastname@example.org
“Data Science is at the foundation of all the megatrends that are happening today, from social to mobile to cloud to gaming”Chris Lynch, CEO and Executive Chairman of AtScale