Data Science Foundations
4.9/5
(4.9 User rating)
4.9/5
Taking into consideration the amount of data that is created, processed, transmitted and stored every day, a need has emerged to understand, handle and utilize the data. Combined with the latest technological advancement and infrastructures such as cloud computing, data science has become a domain of interest to many professionals from different fields due to its capabilities to ease and support our decision. The current state of data science domain which evolves and improves often with algorithms, tools and frameworks, provides a unique opportunity for everyone to utilize data and in order to answer our questions, advance our existing processes and emphasize the important activities based on statistical evidence.
Through Data Science Foundations, the attendees of the course will learn the core concepts of data science. Starting from the data science origin and statistical background to the current Big Data era which is exponentially growing. In addition, this course provides the attendees with domain knowledge both from the theoretical perspective but also on the implementation of different algorithms and methods that are crucial to the data science domain. The course, also discusses techniques and approaches to different applications and use cases that one may encounter during the journey of becoming a data scientist.
Learning Objectives
- Learn about the data science domain and its sub domains.
- Understand what are the phases and outputs of a data science project.
- Familiarize with the most recent data science tool box.
- 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.
About This Course
The current capabilities of data science originating from the traditional statistical algorithms and techniques, together with powerful visualization tools and data processing frameworks have raised the attention to the enormous potential of the data science domain. In the current state of technological innovations and infrastructures, data science with its sub domains such as machine learning, deep learning and artificial intelligence provides a huge and impactful help in decision making to all disciplinary fields. Moreover, utilizing these algorithms and techniques to investigate patterns and gain insights from data allowed companies and organizations to gain competitive advantage while compared to the ones that are still lacking to jump on the data science era.
The “Data Science Foundations” course provides a great introduction and opportunity for anyone who is interested in gaining knowledge on storing, preprocessing, modeling and visualizing data. Moreover, the attendees of this course will learn about the most popular and commonly used algorithms of the domain and grasp knowledge from a combination of statistical reasoning and real-life examples. While aiming to provide a full view on the data science project requirements and steps involved, this course also elaborates in detail about different tools, frameworks and use cases to emphasize the importance of doing data science in the current technological era.
More Details
Module 1: Introduction to Data Science
This module provides an introduction to the domain of data science by discussing important concepts of data science and its origin. Machine learning approaches and their differences are provided to the reader to have a better understanding of the domain, and lastly the module discusses the structure of a data science project, the steps required and tools for implementing and visualizing the data are presented.
Module 2: Big DataThe Big Data module helps students to learn more about large data sets and what attributes they have to be considered as Big Data. Moreover, the techniques and technologies for storing and manipulating these data sets are discussed. The last step of the data science process, visualization and communication of results is presented with methods and plots that are commonly used in the domain.
Module 3: Supervised LearningThis module dives deeper in the supervised learning approach of machine learning by providing statistical evidence and use cases. Different algorithms of supervised learning are elaborated in detail together with their problems, advantages and differences between each other. The module also enables the attendee through its topics to differentiate and decide between algorithms in specific real-life use cases.
Module 4: Unsupervised LearningTaking into consideration that sometimes our problems and questions we are trying to answer through data science are not known and the data sets are more complex to investigate, this module discusses the unsupervised learning approach. This approach consists of multiple algorithms, however in this module principal component analysis and clustering methods are presented with their statistical background.
Module 5: Applications & Use CasesIn order to have a full view on the potential use cases and applications of data science in the domains that concern our every-day life, this final module provides multiple examples of companies using data science to improve their processes, efficiency and better decision making. Furthermore, reasoning behind each of the examples is provided as an incentive for the reader to extend and implement such projects on their own.
Choose your course and enroll
Start by choosing your course from our selection of industry qualifications. Each course is developed by experts in their field and crafted to the highest standards. Select the courses you need, add them to the cart and proceed to checkout. After your purchase an invoice will be automatically sent to your email.
Work through your courseEach course is divided into manageable sections. Work at your own pace and learn each of the topics covered in the course. We use images, written information, diagrams and other resources to help you become familiar with the content without difficulty.
Our courses are designed to allow you to progress without any help, but you can contact our support staff if you need us at operations@wallencore.com
Complete the final quizEach course is evaluated using a multiple-choice questionnaire. These quizzes have several options and you must choose the correct one. You must answer 60% of the questions correctly to pass the course and obtain your certificate.
If you don't pass the first time, it's not a problem. You can try the test as many times as you like until you pass, so there is no reason to worry.
Get your certificateOnce you have completed the course, you will be able to download the certificate. It will also be available in your account each time you log in. Your certificate includes the course you took, your name, the completion date, and a verification number that can be used by future employers to verify that you have successfully completed the course.
Is there a quiz at the end of the course?
Once you have completed all the course content, there is a multiple-choice quiz. The questions will cover a series of topics from the modules. The quiz, like the course, is online and can be taken at the time and place of your choice.
What if I don't pass the quiz?If you do not pass the quiz the first time, you will have other opportunities to retake it after further study. There is no limit to the number of times you can take the quiz. All retakes are included in the course fee.
Course Certificate: At the end of the course, you will receive a Certificate displaying your full name, the course you took, the completion date, and the unique ID of your certificate. You can print it or save it digitally to showcase your success.
When will I receive my certificate? Once you have completed the test you can download/print your certificate any time you need it.
Course Access: Lifetime
Cost(s) of assessment and certification: All costs included in the course price.
Recognized certification: Fully recognized certification.
Entry requirements: No entry restrictions
Compatibility: All major browsers/ devices.
Download and print: Print off a copy immediately once you finish.
Unique ID included: Unique ID number that can be verified by employers.
Printed on 125gsm in full color: Our certificates look great on your wall.
Module 1: Introduction to Data Science
This module provides an introduction to the domain of data science by discussing important concepts of data science and its origin. Machine learning approaches and their differences are provided to the reader to have a better understanding of the domain, and lastly the module discusses the structure of a data science project, the steps required and tools for implementing and visualizing the data are presented.
Module 2: Big DataThe Big Data module helps students to learn more about large data sets and what attributes they have to be considered as Big Data. Moreover, the techniques and technologies for storing and manipulating these data sets are discussed. The last step of the data science process, visualization and communication of results is presented with methods and plots that are commonly used in the domain.
Module 3: Supervised LearningThis module dives deeper in the supervised learning approach of machine learning by providing statistical evidence and use cases. Different algorithms of supervised learning are elaborated in detail together with their problems, advantages and differences between each other. The module also enables the attendee through its topics to differentiate and decide between algorithms in specific real-life use cases.
Module 4: Unsupervised LearningTaking into consideration that sometimes our problems and questions we are trying to answer through data science are not known and the data sets are more complex to investigate, this module discusses the unsupervised learning approach. This approach consists of multiple algorithms, however in this module principal component analysis and clustering methods are presented with their statistical background.
Module 5: Applications & Use CasesIn order to have a full view on the potential use cases and applications of data science in the domains that concern our every-day life, this final module provides multiple examples of companies using data science to improve their processes, efficiency and better decision making. Furthermore, reasoning behind each of the examples is provided as an incentive for the reader to extend and implement such projects on their own.
Choose your course and enroll
Start by choosing your course from our selection of industry qualifications. Each course is developed by experts in their field and crafted to the highest standards. Select the courses you need, add them to the cart and proceed to checkout. After your purchase an invoice will be automatically sent to your email.
Work through your courseEach course is divided into manageable sections. Work at your own pace and learn each of the topics covered in the course. We use images, written information, diagrams and other resources to help you become familiar with the content without difficulty.
Our courses are designed to allow you to progress without any help, but you can contact our support staff if you need us at operations@wallencore.com
Complete the final quizEach course is evaluated using a multiple-choice questionnaire. These quizzes have several options and you must choose the correct one. You must answer 60% of the questions correctly to pass the course and obtain your certificate.
If you don't pass the first time, it's not a problem. You can try the test as many times as you like until you pass, so there is no reason to worry.
Get your certificateOnce you have completed the course, you will be able to download the certificate. It will also be available in your account each time you log in. Your certificate includes the course you took, your name, the completion date, and a verification number that can be used by future employers to verify that you have successfully completed the course.
Is there a quiz at the end of the course?
Once you have completed all the course content, there is a multiple-choice quiz. The questions will cover a series of topics from the modules. The quiz, like the course, is online and can be taken at the time and place of your choice.
What if I don't pass the quiz?If you do not pass the quiz the first time, you will have other opportunities to retake it after further study. There is no limit to the number of times you can take the quiz. All retakes are included in the course fee.
Course Certificate: At the end of the course, you will receive a Certificate displaying your full name, the course you took, the completion date, and the unique ID of your certificate. You can print it or save it digitally to showcase your success.
When will I receive my certificate? Once you have completed the test you can download/print your certificate any time you need it.
Course Access: Lifetime
Cost(s) of assessment and certification: All costs included in the course price.
Recognized certification: Fully recognized certification.
Entry requirements: No entry restrictions
Compatibility: All major browsers/ devices.
Download and print: Print off a copy immediately once you finish.
Unique ID included: Unique ID number that can be verified by employers.
Printed on 125gsm in full color: Our certificates look great on your wall.
$449.99
$149.99
- Type:
- Duration:
- Award:
- Language:
- Level:
- Access:
- Online course
- 8 hours (self-paced)
- Certificate
- English
- Introductory
- Lifetime access
This course is part of the CUNITECH Data Science and Business Intelligence Program.
100% Online
Click through engaging and award winning course content.
100% self-paced
Immediate start: study when, where, and how fast you want.
Learn a new skill
With compact learning sessions, you will learn a new skill faster than ever.
Get your certificate
Download your personal certificate upon completion of this course.