HIT140 - Foundations of Data Science
This is an entry-level data science unit. This unit introduces students to foundational concepts and skills in data science and statistics. Students will be introduced to important elements in a modern data analytics ecosystem. They will learn descriptive and inferential statistics, data pre-processing techniques, basic machine learning models, and effective data visualisations using established data science platforms and analytics tools. Students will also be exposed to how data science solutions are deployed in response to real-world problem scenarios, in addition to exploring ethical approaches to contemporary issues faced by data science professionals. This unit requires the use of additional software to be provided by the University.
Unit Information
RECOMMENDED TEXT -Â STATISTICS IN A NUTSHELL
RECOMMENDED TEXT -Â STORYTELLING WITH DATA
RECOMMENDED TEXT - THE BASIC PRACTICE WITH STATISTICS
RECOMMENDED TEXT -Â THE DATA SCIENCE HANDBOOK
STATISTICS IN A NUTSHELL
Need to learn statistics as part of your job, or want help passing a statistics course? Statistics in a Nutshell is a clear and concise introductio...
View full detailsSTATISTICS IN A NUTSHELL eBOOK
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View full detailsSTORYTELLING WITH DATA 10TH ANNIVERSARY VERSION
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power o...
View full detailsSTORYTELLING WITH DATA 10TH ANNIVERSARY VERSION eBOOK
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View full detailsTHE BASIC PRACTICE OF STATISTICS 9TH EDITION
Now available with Macmillan’s new online learning tool Achieve, the ninth edition of The Basic Practice of Statistics 9e teaches statistical think...
View full detailsTHE BASIC PRACTICE OF STATISTICS 9TH EDITION eBOOK
Now available with Macmillan’s new online learning tool Achieve, the ninth edition of The Basic Practice of Statistics 9e teaches statistical think...
View full detailsTHE DATA SCIENCE HANDBOOK 2ND EDITION
Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a bu...
View full detailsTHE DATA SCIENCE HANDBOOK 2ND EDITION eBOOK
Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a bu...
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