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Certification in Business Data Analytics (IIBA®-CBDA)

Essential Data Analytics Concepts

Jamie Champagne

This course will teach you key data analytics concepts and ways to think about analyzing data.

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This course will teach you key data analytics concepts and ways to think about analyzing data.

Knowledge of data analytics techniques and approaches is key to being successful working with data. In this course, Certification in Business Data Analytics (IIBA®-CBDA): Essential Data Analytics Concepts, you’ll learn the key vocabulary for data analytics work. First, you’ll explore key data concepts. Next, you’ll discover data analytics techniques. Finally, you’ll learn how to analyze data for successful business data analytics engagements. When you’re finished with this course, you’ll have the skills and knowledge of data analytics concepts needed to be successful in your business data analytics work.

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What's inside

Syllabus

Course Overview
Understanding Key Data and Analytics Vocabulary
Explaining Data Analytics Techniques
Understanding How to Analyze Data
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores core data analytics vocabulary, which helps learners analyze data
Covers essential data analytics concepts, which are key to working with data
Teaches data analytics techniques, which helps learners analyze data successfully
Provides knowledge of data analytics concepts, which is needed to be successful in business data analytics work
Instructs on how to analyze data, which is crucial for successful business data analytics engagements

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Activities

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Career center

Learners who complete Certification in Business Data Analytics (IIBA®-CBDA): Essential Data Analytics Concepts will develop knowledge and skills that may be useful to these careers:
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment decisions. This course will provide individuals with a foundation in data analytics concepts, which can help them be more successful in this role.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure. This course will provide individuals with essential data analytics concepts, which can help them be more successful in this role.
Statistician
A Statistician collects, analyzes, interprets, and presents data. This course will provide individuals with a foundation in essential data analytics concepts, which can help them be more successful in this role.
Data Architect
A Data Architect designs and builds data systems and infrastructure. This course will provide individuals with essential data analytics concepts, which can help them be more successful in this role.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course covers several key topics used by data scientists including data analysis, data mining, and machine learning.
Operations Research Analyst
An Operations Research Analyst uses advanced analytical techniques to help organizations make better decisions. This course will provide individuals with a foundation in data analytics concepts, which is necessary for success in this role.
Market Research Analyst
A Market Research Analyst collects, analyzes, and interprets market data to help organizations understand their customers and make informed decisions. This course will provide individuals interested in market research with a foundation in essential data analytics concepts, which they can use to be more successful in their roles.
Business Analyst
A Business Analyst works closely with business stakeholders to analyze and interpret their needs, and translate those needs into technical requirements. These individuals need a strong foundation in business data analytics to be successful. This course will help business analysts to develop the skills and knowledge they need to succeed.
Data Analyst
A Data Analyst collects, transforms, and analyzes data to help organizations make informed decisions. Those working in this role will need to build a strong foundation for data analysis. This course, Certification in Business Data Analytics (IIBA®-CBDA): Essential Data Analytics Concepts, helps by teaching students how to understand key data concepts and how to analyze data effectively.
Database Administrator
A Database Administrator manages and maintains databases. This course may be helpful for database administrators who want to improve their data analysis skills.
Information Security Analyst
An Information Security Analyst protects computer systems and networks from security threats. This course may be helpful for information security analysts who want to improve their data analysis skills.
Actuary
An Actuary uses mathematical and statistical techniques to assess risk and uncertainty. This course may be helpful for actuaries who want to improve their data analysis skills.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be helpful for software engineers who want to improve their data analysis skills.
Financial Analyst
A Financial Analyst provides advice and guidance to businesses and individuals on investment decisions. This course may be helpful for financial analysts who want to improve their data analysis skills and knowledge of key data concepts.
Management Consultant
A Management Consultant helps organizations to improve their performance. This course may be helpful for management consultants who want to improve their data analysis skills.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Certification in Business Data Analytics (IIBA®-CBDA): Essential Data Analytics Concepts.
A comprehensive resource for deep learning, providing a solid foundation for those interested in pursuing advanced topics.
Provides a practical introduction to statistical learning using R, making it valuable for those interested in using R for data analysis.
This introductory book on the concepts of data analytics provides a very easily digestible format for understanding the fundamental ideas in the field.
Offers a business-oriented perspective on data analytics, providing insights into how data can drive business decisions.
Provides practical knowledge for data analysis using Python libraries such as Pandas, NumPy, and Jupyter.

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