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IBM Skills Network Team
This course is the final step in the Data Analysis and Visualization Foundations Specialization. It contains a graded final examination that covers content from three courses: Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos.
Read more
This course is the final step in the Data Analysis and Visualization Foundations Specialization. It contains a graded final examination that covers content from three courses: Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos.
Read more
This course is the final step in the Data Analysis and Visualization Foundations Specialization. It contains a graded final examination that covers content from three courses: Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos.
From the Introduction to Data Analytics course, your understanding will be assessed on topics like the data ecosystem and the fundamentals of data analysis, covering tools for data gathering and data mining. Moving on to the Excel Basics for Data Analysis course, expect questions focusing on the use of Excel spreadsheets in data analytics, proficiency in data cleansing and wrangling, and skills in working with pivot tables. Finally, from the Data Visualization and Dashboards with Excel and Cognos course, you will demonstrate your knowledge of IBM Cognos basics and your ability to use Excel for effective data visualization.
Register for this course and see more details by visiting:
OpenCourser.com/course/gsujmr/assessment
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What's inside
Syllabus
Assessment for Data Analysis and Visualization Foundations
This module will test your knowledge and the skills you’ve acquired so far. This module contains the graded final examination covering content from three courses: Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Assesses knowledge in core data analysis topics from three foundational courses
Covers a wide range of data analysis concepts, from data gathering to visualization
Helps learners prepare for a potential career in data analysis
Save this course
Save Assessment for Data Analysis and Visualization Foundations 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 Assessment for Data Analysis and Visualization Foundations with these
activities:
Data Analytics Fundamentals
Show steps
Strengthen your theoretical understanding of data analytics concepts.
View
Big Data: Second Edition
on Amazon
Show steps
-
Read the book and take notes
-
Identify key concepts and definitions
-
Summarize the main arguments and supporting evidence
Data Discussion Group
Show steps
Engage with peers to enhance your understanding through discussions.
Browse courses on
Data Analytics
Show steps
-
Join a study group or online community
-
Participate in discussions and ask questions
-
Share your perspectives and insights
Excel Exercises
Show steps
Reinforce your comprehension of Excel fundamentals.
Browse courses on
Data Analytics
Show steps
-
Open Excel workbook and explore various functions
-
Enter and format data
-
Create charts and graphs
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Visualization Resources
Show steps
Expand your knowledge of data visualization through curated resources.
Browse courses on
Data Visualization
Show steps
-
Gather articles, tutorials, and videos on data visualization
-
Categorize and organize the resources
-
Share your compilation with classmates and instructors
Data Analytics Workshop
Show steps
Participate in a workshop to enhance your practical skills in data analytics.
Browse courses on
Data Analytics
Show steps
-
Identify and register for a workshop
-
Attend the workshop and actively participate
-
Apply the acquired skills in your projects
Tableau Tutorial
Show steps
Enhance your skills in data visualization using an industry-standard tool.
Browse courses on
Data Visualization Tools
Show steps
-
Sign up for Tableau's online tutorial
-
Complete the introductory lessons
-
Create a dashboard by connecting to a dataset
-
Add visualizations and interact with your dashboard
Contribute to Data Analytics Projects
Show steps
Gain hands-on experience by contributing to open-source data analytics projects.
Browse courses on
Data Analytics
Show steps
-
Identify open-source data analytics projects on platforms like GitHub
-
Review the project documentation
-
Suggest improvements or offer to contribute
-
Collaborate with other contributors
Data Analysis Case Study
Show steps
Apply your data analysis skills to a real-world scenario.
Browse courses on
Data Analytics
Show steps
-
Identify a business problem to analyze
-
Gather relevant data from various sources
-
Clean and prepare the data
-
Analyze the data using visualization techniques
-
Present your findings and insights
Data Analytics Fundamentals
Show steps
Strengthen your theoretical understanding of data analytics concepts.
View
Big Data: Second Edition
on Amazon
Show steps
Show steps
Show steps
- Read the book and take notes
- Identify key concepts and definitions
- Summarize the main arguments and supporting evidence
Data Discussion Group
Show steps
Engage with peers to enhance your understanding through discussions.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Join a study group or online community
- Participate in discussions and ask questions
- Share your perspectives and insights
Excel Exercises
Show steps
Reinforce your comprehension of Excel fundamentals.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Open Excel workbook and explore various functions
- Enter and format data
- Create charts and graphs
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Visualization Resources
Show steps
Expand your knowledge of data visualization through curated resources.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather articles, tutorials, and videos on data visualization
- Categorize and organize the resources
- Share your compilation with classmates and instructors
Data Analytics Workshop
Show steps
Participate in a workshop to enhance your practical skills in data analytics.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify and register for a workshop
- Attend the workshop and actively participate
- Apply the acquired skills in your projects
Tableau Tutorial
Show steps
Enhance your skills in data visualization using an industry-standard tool.
Browse courses on
Data Visualization Tools
Show steps
Show steps
Show steps
- Sign up for Tableau's online tutorial
- Complete the introductory lessons
- Create a dashboard by connecting to a dataset
- Add visualizations and interact with your dashboard
Contribute to Data Analytics Projects
Show steps
Gain hands-on experience by contributing to open-source data analytics projects.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify open-source data analytics projects on platforms like GitHub
- Review the project documentation
- Suggest improvements or offer to contribute
- Collaborate with other contributors
Data Analysis Case Study
Show steps
Apply your data analysis skills to a real-world scenario.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify a business problem to analyze
- Gather relevant data from various sources
- Clean and prepare the data
- Analyze the data using visualization techniques
- Present your findings and insights
Career center
Learners who complete Assessment for Data Analysis and Visualization Foundations will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst gathers, processes, and analyzes data to help organizations make informed decisions. This course provides a comprehensive foundation in data analysis, from data gathering and mining to data cleansing and wrangling. Knowledge of IBM Cognos basics and Excel for effective data visualization, as covered in this course, are essential skills for a successful Data Analyst.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data analysis to identify trends and patterns that can help businesses make better decisions. This course provides a strong foundation in data analysis, including data gathering, mining, cleansing, and wrangling. Additionally, the course covers the use of Excel and IBM Cognos for effective data visualization, which are essential tools for a Business Intelligence Analyst.
Data Scientist
Data Scientist
A Data Scientist uses data analysis and modeling to solve complex business problems. This course provides a foundation in data analysis, including data gathering, mining, cleansing, and wrangling. Additionally, the course covers the use of Excel and IBM Cognos for effective data visualization, which are essential tools for a Data Scientist.
Data Engineer
Data Engineer
A Data Engineer designs and builds systems for storing, managing, and processing data. This course provides a foundation in data analysis, including data gathering, mining, cleansing, and wrangling. Additionally, the course covers the use of Excel and IBM Cognos for effective data visualization, which are essential tools for a Data Engineer.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data to help organizations make informed decisions. This course provides a foundation in data analysis, including data gathering, mining, cleansing, and wrangling. Additionally, the course covers the use of Excel and IBM Cognos for effective data visualization, which are essential tools for a Statistician.
Financial Analyst
Financial Analyst
A Financial Analyst uses data analysis to evaluate and make recommendations on financial investments. This course provides a foundation in data analysis, including data gathering, mining, cleansing, and wrangling. Additionally, the course covers the use of Excel and IBM Cognos for effective data visualization, which are essential tools for a Financial Analyst.
Market Researcher
Market Researcher
A Market Researcher conducts research to understand consumer behavior and trends. This course provides a foundation in data analysis, including data gathering, mining, cleansing, and wrangling. Additionally, the course covers the use of Excel and IBM Cognos for effective data visualization, which are essential tools for a Market Researcher.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses data analysis to improve the efficiency and effectiveness of business operations. This course provides a foundation in data analysis, including data gathering, mining, cleansing, and wrangling. Additionally, the course covers the use of Excel and IBM Cognos for effective data visualization, which are essential tools for an Operations Research Analyst.
Actuary
Actuary
An Actuary uses data analysis to assess and manage financial risks. This course provides a foundation in data analysis, including data gathering, mining, cleansing, and wrangling. Additionally, the course covers the use of Excel and IBM Cognos for effective data visualization, which are essential tools for an Actuary.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course provides a foundation in data analysis, which can be useful for a Software Engineer who needs to analyze data to improve the performance or functionality of software applications.
Web Developer
Web Developer
A Web Developer designs and develops websites and web applications. This course provides a foundation in data analysis, which can be useful for a Web Developer who needs to analyze data to improve the user experience or performance of websites and web applications.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course provides a foundation in data analysis, which can be useful for a Database Administrator who needs to analyze data to improve the performance or security of databases.
IT Manager
IT Manager
An IT Manager plans, implements, and manages IT systems and services. This course provides a foundation in data analysis, which can be useful for an IT Manager who needs to analyze data to improve the performance or security of IT systems and services.
Project Manager
Project Manager
A Project Manager plans, executes, and controls projects. This course provides a foundation in data analysis, which can be useful for a Project Manager who needs to analyze data to track project progress or identify potential risks.
Marketing Manager
Marketing Manager
A Marketing Manager plans, implements, and manages marketing campaigns. This course provides a foundation in data analysis, which can be useful for a Marketing Manager who needs to analyze data to track campaign performance or identify potential opportunities.
For more career information including salaries, visit:
OpenCourser.com/course/gsujmr/assessment
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
Assessment for Data Analysis and Visualization Foundations.
Save
This textbook offers a concise and accessible introduction to the principles of data visualization. It covers topics like visual perception, data representation, and storytelling with data.
This textbook covers the foundational principles and techniques of data visualization. It provides a solid theoretical background, making it a valuable resource for understanding the concepts behind effective data visualization.
Save
Provides a comprehensive overview of data mining techniques and algorithms. It covers topics such as data preparation, feature selection, model evaluation, and case studies, complementing the data analysis concepts in the course.
This reference manual provides in-depth coverage of Cognos Analytics reporting capabilities. It offers detailed instructions and examples on creating, formatting, and distributing reports, complementing the course's introduction to Cognos.
Save
Provides a comprehensive introduction to R for data science. It covers topics like data manipulation, data visualization, statistical modeling, and machine learning. It provides a solid foundation in R, which can complement the course by offering knowledge of another programming language for data analysis.
Save
As a reference tool, this book provides comprehensive and detailed coverage of Microsoft Excel's features and functions, making it a valuable resource for understanding and using Excel for data analysis and visualization.
Provides an introduction to Python for data analysis. It covers topics like data structures, data manipulation, data visualization, and machine learning. It can supplement the course by providing a deeper understanding of the programming skills used for data analysis.
Provides a comprehensive guide to using ggplot2, a popular R package for data visualization. It covers topics like data aesthetics, plot types, and advanced customization, complementing the course's introduction to data visualization with R.
Offers a gentle introduction to data analytics and visualization. It covers topics like data collection, data cleaning, data analysis, and data visualization. It provides a helpful overview of the field, especially for those new to data analytics.
Introduces D3.js, a JavaScript library for data visualization. It covers topics like data binding, scales, axes, and transitions. It provides practical knowledge of web-based data visualization, complementing the course's focus on other data visualization tools.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/gsujmr/assessment
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Effort
2-3 hours
Level
Introductory
Via
Coursera
Institution
IBM
Instructor
IBM Skills Network Team
Language
English
This course belongs to a
collection
called
Data Analysis and Visualization Foundations. It's comprised of four courses:
- Assessment for Data Analysis and Visualization Foundations (viewing)
- Introduction to Data Analytics
- Excel Basics for Data Analysis
- Data Visualization and Dashboards with Excel and Cognos
Good to know
Assesses knowledge in core data analysis topics from three foundational courses
Covers a wide range of data analysis concepts, from data gathering to visualization
Helps learners prepare for a potential career in data analysis
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