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Jamie Champagne
This course will teach you key data analytics concepts and ways to think about analyzing data.
Read more
This course will teach you key data analytics concepts and ways to think about analyzing data.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/dq0tn5/certification
What's inside
Syllabus
Course Overview
Understanding Key Data and Analytics Vocabulary
Explaining Data Analytics Techniques
Understanding How to Analyze Data
Read more
Syllabus
Course Overview
Understanding Key Data and Analytics Vocabulary
Explaining Data Analytics Techniques
Understanding How to Analyze Data
Read more
Good to know
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
Save this course
Save Certification in Business Data Analytics (IIBA®-CBDA): Essential Data Analytics Concepts to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Certification in Business Data Analytics (IIBA®-CBDA): Essential Data Analytics Concepts with these
activities:
Review 'Data Analytics Made Accessible'
Show steps
Gain a comprehensive understanding of data analytics concepts
View
Big Data: Second Edition
on Amazon
Show steps
-
Read the book and highlight key concepts
-
Summarize the main ideas in your own words
Review Key Statistical Concepts
Show steps
Review basic statistical concepts to build a solid foundation for this course
Browse courses on
Probability
Show steps
-
Review the basics of probability theory
-
Revisit hypothesis testing and confidence intervals
Organize and Synthesize Course Materials
Show steps
Enhance understanding and retention by organizing and summarizing course content
Show steps
-
Compile notes, assignments, and assessments
-
Create a structured system to organize the materials
-
Review and synthesize the materials regularly
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Join a Data Analytics Discussion Forum
Show steps
Engage with peers to share insights and exchange perspectives
Show steps
-
Join an online forum or discussion group
-
Participate in discussions and seek clarification from others
Solve Data Analytics Practice Problems
Show steps
Solve data analytics practice problems to improve understanding and problem-solving skills.
Browse courses on
Data Analysis Techniques
Show steps
-
Find a collection of data analytics practice problems online or in a textbook.
-
Set aside dedicated time to work through the problems.
-
Check your answers and identify areas for improvement.
-
Review the course materials to reinforce your understanding of the techniques used.
Practice Data Manipulation Techniques
Show steps
Engage in hands-on exercises to refine data manipulation skills
Show steps
-
Explore data cleansing and transformation techniques
-
Practice data aggregation and summarization
-
Experiment with data visualization tools
Attend a Data Analytics Workshop
Show steps
Acquire specialized knowledge and skills through hands-on workshops
Show steps
-
Identify and register for a relevant workshop
-
Attend the workshop and actively engage with the instructors and participants
Explore Advanced Data Analytics Techniques
Show steps
Seek additional resources to expand knowledge of advanced data analytics methods
Show steps
-
Identify online tutorials or workshops on specific techniques
-
Follow tutorials and apply the techniques to real-world datasets
Create a Data Analysis Presentation
Show steps
Create a data analysis presentation to demonstrate your understanding of data analysis techniques and communication skills.
Browse courses on
Data Analysis
Show steps
-
Choose a dataset and identify a business question to analyze.
-
Use data analysis techniques to explore the data and draw insights.
-
Create data visualizations to present your findings clearly.
-
Practice presenting your analysis and answering questions.
Develop a Data Analysis Plan
Show steps
Create a comprehensive plan to guide your data analysis process
Show steps
-
Define the problem statement and objectives
-
Identify the data sources and collection methods
-
Outline the data analysis techniques to be employed
Contribute to an Open-Source Data Project
Show steps
Gain practical experience by working on real-world data analytics projects
Show steps
-
Identify an open-source data project to support
-
Contribute code, documentation, or bug fixes
Review 'Data Analytics Made Accessible'
Show steps
Gain a comprehensive understanding of data analytics concepts
View
Big Data: Second Edition
on Amazon
Show steps
Show steps
Show steps
- Read the book and highlight key concepts
- Summarize the main ideas in your own words
Review Key Statistical Concepts
Show steps
Review basic statistical concepts to build a solid foundation for this course
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review the basics of probability theory
- Revisit hypothesis testing and confidence intervals
Organize and Synthesize Course Materials
Show steps
Enhance understanding and retention by organizing and summarizing course content
Show steps
Show steps
Show steps
- Compile notes, assignments, and assessments
- Create a structured system to organize the materials
- Review and synthesize the materials regularly
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Join a Data Analytics Discussion Forum
Show steps
Engage with peers to share insights and exchange perspectives
Show steps
Show steps
Show steps
- Join an online forum or discussion group
- Participate in discussions and seek clarification from others
Solve Data Analytics Practice Problems
Show steps
Solve data analytics practice problems to improve understanding and problem-solving skills.
Browse courses on
Data Analysis Techniques
Show steps
Show steps
Show steps
- Find a collection of data analytics practice problems online or in a textbook.
- Set aside dedicated time to work through the problems.
- Check your answers and identify areas for improvement.
- Review the course materials to reinforce your understanding of the techniques used.
Practice Data Manipulation Techniques
Show steps
Engage in hands-on exercises to refine data manipulation skills
Show steps
Show steps
Show steps
- Explore data cleansing and transformation techniques
- Practice data aggregation and summarization
- Experiment with data visualization tools
Attend a Data Analytics Workshop
Show steps
Acquire specialized knowledge and skills through hands-on workshops
Show steps
Show steps
Show steps
- Identify and register for a relevant workshop
- Attend the workshop and actively engage with the instructors and participants
Explore Advanced Data Analytics Techniques
Show steps
Seek additional resources to expand knowledge of advanced data analytics methods
Show steps
Show steps
Show steps
- Identify online tutorials or workshops on specific techniques
- Follow tutorials and apply the techniques to real-world datasets
Create a Data Analysis Presentation
Show steps
Create a data analysis presentation to demonstrate your understanding of data analysis techniques and communication skills.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Choose a dataset and identify a business question to analyze.
- Use data analysis techniques to explore the data and draw insights.
- Create data visualizations to present your findings clearly.
- Practice presenting your analysis and answering questions.
Develop a Data Analysis Plan
Show steps
Create a comprehensive plan to guide your data analysis process
Show steps
Show steps
Show steps
- Define the problem statement and objectives
- Identify the data sources and collection methods
- Outline the data analysis techniques to be employed
Contribute to an Open-Source Data Project
Show steps
Gain practical experience by working on real-world data analytics projects
Show steps
Show steps
Show steps
- Identify an open-source data project to support
- Contribute code, documentation, or bug fixes
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/dq0tn5/certification
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.
This advanced textbook offers a comprehensive overview of pattern recognition and machine learning, providing in-depth knowledge.
A classic reference for statistical learning methods, providing a solid foundation for data analysis.
Save
A comprehensive resource for deep learning, providing a solid foundation for those interested in pursuing advanced topics.
Save
An excellent reference for data mining concepts and techniques, offering more depth for those interested.
Focuses on the art of storytelling using data visualizations, providing valuable insights for those looking to present their findings effectively.
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.
Save
Provides a practical guide to data visualization techniques, helping students to effectively communicate their findings.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dq0tn5/certification
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Time
38 hours
Level
Intermediate
Via
Pluralsight
Instructor
Jamie Champagne
Language
English
Good to know
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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