Data Analytics: beginner Data analytics 2022
Expertise:
Technology:
- 1 Course | 34m 22s
- 5 Books | 32h 54m
- 1 Course | 39m 27s
- 5 Books | 33h 57m
Expand your insights and gain understanding of your website traffic with Google Analytics.
GETTING STARTED
Techniques for Big Data Analytics
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1.Course Overview1m 52sNOW PLAYING
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2.Big Data Analytics Challenges4m 20sUP NEXT
GETTING STARTED
Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
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1.Course Overview45sNOW PLAYING
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2.Data Analytics Maturity Model5m 45sUP NEXT
COURSES INCLUDED
Techniques for Big Data Analytics
Big data analytics provides a way to turn the vast amounts of data available in today's digital world into valuable insights. For this reason, big data analytics techniques have taken a central place in many businesses' IT infrastructure. These comprise complex processes and multiple stack layers that allow you to transform raw data into visualizations that demonstrate trends or other phenomena. Use this course to explore the basic principles and techniques of big data analytics in a business context. Go through each step of data processing to fully comprehend the big data analytics pipeline. Furthermore, explore various use cases of big data analytics through real-world examples. When you're done with this course, you'll have a foundational comprehension of some of the technologies behind big data and how these can drive business decisions for the better.
12 videos |
34m
Assessment
Badge
COURSES INCLUDED
Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
Data analytics is used across various industries to help companies make better-informed business decisions. Data analysts capture, process, and organize data in addition to establishing the best way to present that data. Through this course, learn about the uses and benefits of data analytics and the tools to leverage it. Examine the data analytics maturity model and compare the descriptive, diagnostic, predictive, and AI types of data analytics. Next, discover how data analytics can be used across teams and the benefits it offers. Finally, discover the different types of tools designed for data storage, cleaning, visualization, analysis, and collaboration. Upon completion, you'll be able to outline what data analytics is and list common data science tools.
10 videos |
39m
Assessment
Badge
EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE COURSES
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.BOOKS INCLUDED
Book
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and ChallengesThis book is intended to present the state of the art in research on machine learning and big data analytics.
10h 21m
By Aboul Ella Hassanien, Ashraf Darwish
Book
Big Data Analytics for Internet of ThingsThis book delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security.
6h 50m
By Mohammad Ahsan Chishti, Tausifa Jan Saleem
Book
Big Data Analytics for Large-Scale Multimedia SearchIncluding numerous tables, illustrations, and figures, this book presents a timely overview of cutting-edge technologies for multimedia retrieval with a special emphasis on scalability.
7h 42m
By Benoit Huet, Edward Y. Chang, Ioannis Kompatsiaris (eds), Stefanos Vrochidis
Book
Distributed Computing in Big Data Analytics: Concepts, Technologies and ApplicationsAddressing the key aspects of distributed processing in big data analytics, this valuable book tackles the essential concepts and patterns of distributed computing widely used in big data analytics.
3h 10m
By Ganesh Chandra Deka (eds), Robin Singh Bhadoria, Sourav Mazumder
Book
Big Data Analytics for Cyber-Physical SystemsThis book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components.
4h 51m
By Bei Yu, Shiyan Hu
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BOOKS INCLUDED
Book
A General Introduction to Data AnalyticsAn essential guide to understand and use data analytics, this highly accessible book is written using easy-to-understand terms and does not require familiarity with statistics or programming.
5h 10m
By Andre Carvalho, João Mendes Moreira, Tomáš Horváth
Book
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and ChallengesThis book is intended to present the state of the art in research on machine learning and big data analytics.
10h 21m
By Aboul Ella Hassanien, Ashraf Darwish
Book
Data Analytics: Principles, Tools, and Practices: A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools, and TechnologiesThe book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization.
6h 51m
By Chitra Lele, Dr. Gaurav Aroraa, Dr. Munish Jindal
Book
Deep Learning for Data AnalyticsThis book provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments.
3h 53m
By Chattaranjan Pradhan, Himansu Das (eds), Nilanjan Dey
Book
Big Data Analytics for Large-Scale Multimedia SearchIncluding numerous tables, illustrations, and figures, this book presents a timely overview of cutting-edge technologies for multimedia retrieval with a special emphasis on scalability.
7h 42m
By Benoit Huet, Edward Y. Chang, Ioannis Kompatsiaris (eds), Stefanos Vrochidis
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FREE ACCESS
