GRIFFITH UNIVERSITY 
2315AFE: Econometric Analysis 
* Final Examination Guide and Notes 2024 
 
- Part A: Topic Summary and Exam Tips 
- Part B: Practice Exam Questions and Answers 
- Part C: Sample Final Examination Paper 
- Part D: Suggested Solutions to Final Exam Paper 
 
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Griffith University

Griffith University - 3030ICT: Data Analytics (Solutions)

$35.00

ACADEMIC YEAR 2023 - 2024

University	Griffith University
Study Level	Undergraduate
Course Code	3030ICT
Course Name	Data Analytics
Notes Title	Final Examination Guide and Notes
Page Length	56

* The 3030ICT: Data Analytics, Griffith University - Final Examination Guide and Notes 2024 serves as an invaluable resource for mastering the course content from day one until your final review before the exam. This self-study set has been thoroughly updated to cover all the topics contained in the latest edition of the exam. It contains sample exam questions complete with a detailed answer guide to help you with question style and identify priority topics to review as you prepare for the exam. It also offers vital information on exam format, what will be on the exam and key concepts you should be focusing your studies on.

- Griffith University offers a Data Analytics course (3030ICT) that equips students with the skills to prepare, process, analyse, and visualise data to extract meaningful insights and inform decision-making. The course covers various data types like time series, text, images, and graphs, and introduces students to data processing techniques, exploratory analysis, statistical methods, and data visualisation tools. Students will gain experience using programming languages to implement these methods and learn to effectively communicate their findings. To enroll, students must have successfully completed introductory courses in big data analytics, intelligent systems, and discrete structures, and possess a working knowledge of databases and programming. This course focuses on the analytical side of data science, contrasting it with data mining, and emphasises using data to solve problems through methods like building models, creating visualisations, and presenting results.

✔ What You'll Learn:

Introduction to Data Analytics
Data Analytics with Python
Data Analytics for Timeseries
Data Analytics for Texts
Data Analytics for Images
Data Analytics for Graph
Data Analytics for Other Data
Revision

COURSE CODE	COURSE NAME
1203AFE	Money, Banking and Finance
1303AFE	Economics for Decision Making 1
1305AFE	Business Data Analysis
2204AFE	Financial Institutions Management
2304AFE	Intermediate Macroeconomics
2305AFE	Intermediate Microeconomics
3305AFE	Applied Econometrics
1003MKT	Introduction to Marketing
1101IBA	Management Concepts
1102AFE	Accounting for Decision Making
2103AFE	Company Accounting
2104AFE	Management Accounting
2105AFE	Introduction to Business Law
2107AFE	Accounting Information Systems
2108AFE	Financial Accounting
2201AFE	Corporate Finance
2206AFE	Investment Analysis and Management
2214AFE	Derivatives Securities
2303AFE	Economics for Decision Making 2
3208AFE	Portfolio Management
3210AFE	Advanced Corporate Finance

Griffith University - 3030ICT: Data Analytics (Solutions)

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