Data Analytics and Visualization Capstone Project from edX

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

This course provides students with the opportunity to assume the role of an Associate Data Analyst who has recently joined an organization. In this role, you will use Data Analytics skills and techniques on real-world datasets to complete a business task.

You will gain useful experience collecting, analyzing, and preparing data to be used for making charts and constructing an interactive dashboard. The course ends with a presentation of your data analysis report that tests your ability to create a compelling story for the various stakeholders in the organization.

This course is a great way to display your Data Analytics skills and prove your proficiency to potential employers.

What you'll learn

Apply Data Analysis and Visualization skills learned throughout various courses in the IBM Data Analytics Professional Certificate
Collect data from various sources using webscraping and APIs
Use various data wrangling techniques to identify duplicate rows, find missing values, and normalize date in an Excel spreadsheet
Find the distribution of date, the presence of outliers, and the correlation between different columns
Creat visualizations showcasing the distribution of data, the relationships between data, and the composition and comparison of data
Create a dashboard that is intuitive, appealing, and easy to understand using IBM Cognos Analytics as a BI platform
Demonstrate your ability to clarify your analysis and relay your findings to stakeholders using a PowerPoint Presentation

What's inside

Learning objectives

Apply data analysis and visualization skills learned throughout various courses in the ibm data analytics professional certificate
Collect data from various sources using webscraping and apis
Use various data wrangling techniques to identify duplicate rows, find missing values, and normalize date in an excel spreadsheet
Find the distribution of date, the presence of outliers, and the correlation between different columns

Creat visualizations showcasing the distribution of data, the relationships between data, and the composition and comparison of data
Create a dashboard that is intuitive, appealing, and easy to understand using ibm cognos analytics as a bi platform
Demonstrate your ability to clarify your analysis and relay your findings to stakeholders using a powerpoint presentation

Apply data analysis and visualization skills learned throughout various courses in the ibm data analytics professional certificate
Collect data from various sources using webscraping and apis
Use various data wrangling techniques to identify duplicate rows, find missing values, and normalize date in an excel spreadsheet
Find the distribution of date, the presence of outliers, and the correlation between different columns
Creat visualizations showcasing the distribution of data, the relationships between data, and the composition and comparison of data
Create a dashboard that is intuitive, appealing, and easy to understand using ibm cognos analytics as a bi platform
Demonstrate your ability to clarify your analysis and relay your findings to stakeholders using a powerpoint presentation

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Delves into core skills and concepts relevant to those seeking to transition into Data Analytics

Aligned with industry standards, preparing learners for real-world applications

Leverages practical, hands-on exercises to reinforce learning

Provides opportunities to build a portfolio of Data Analytics projects

Suitable for those with some prior knowledge in Data Analysis

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 Data Analytics and Visualization Capstone Project with these activities:

Refresh Statistics Concepts

Show steps

Strengthens foundational knowledge of statistics, which is essential for data analysis.

Show steps

Review basic statistical concepts such as probability, distributions, and hypothesis testing.
Practice applying statistical concepts to real-world data.

Follow Tutorials on Data Analytics Tools and Techniques

Show steps

Provides guided instruction on specific data analytics tools and techniques.

Browse courses on Data Analytics

Show steps

Identify online tutorials on data analytics tools and techniques relevant to the course.
Follow the tutorials and complete the exercises.
Apply the learned tools and techniques in your own data analysis projects.

Read 'Data Analytics Made Accessible' by Anil Maheshwari

Show steps

Provides a foundational understanding of data analytics concepts and techniques.

View Big Data: Second Edition on Amazon

Show steps

Purchase and read the book 'Data Analytics Made Accessible'.
Take notes on key concepts and techniques.
Complete the exercises and quizzes at the end of each chapter.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Practice Data Analysis Techniques

Show steps

Reinforces understanding of data analysis techniques through repetitive exercises.

Browse courses on Data Analysis Techniques

Show steps

Find online data analysis practice drills and exercises.
Practice data analysis techniques such as data cleaning, data wrangling, and statistical analysis.
Review your results and identify areas for improvement.

Participate in Peer Study Groups

Show steps

Encourages collaboration and exchange of knowledge through peer interaction.

Browse courses on Data Analytics

Show steps

Organize or join a peer study group focused on data analytics.
Discuss course materials, share insights, and collaborate on projects.
Provide and receive feedback on data analysis approaches and techniques.

Develop a Data Analysis Plan for a Real-World Dataset

Show steps

Provides hands-on experience in defining a data analysis plan and applying data analytics techniques.

Show steps

Identify a real-world dataset of interest.
Define the business problem or question to be addressed.
Develop a data analysis plan outlining the steps to be taken.
Execute the data analysis plan and document the results.

Create a Data Visualization Dashboard

Show steps

Develops skills in creating visually appealing and informative data visualizations.

Browse courses on Data Visualization

Show steps

Select a dataset and identify the key insights to be communicated.
Design and develop a data visualization dashboard using appropriate tools.
Present and explain the dashboard to stakeholders.

Complete the IBM Data Analytics Professional Certificate

Show steps

Provides a comprehensive overview of data analytics concepts and techniques, and demonstrates skills through a capstone project.

Browse courses on Data Analytics

Show steps

Enroll in the IBM Data Analytics Professional Certificate.
Complete all the required courses and assignments.
Submit the capstone project and earn the certificate.

Career center

Learners who complete Data Analytics and Visualization Capstone Project will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts help organizations make better decisions by exploring and interpreting data. They use their understanding of data to identify patterns, predict trends, and make recommendations for business strategies. This course provides the skills and techniques needed to become a Data Analyst, including data collection, data wrangling, data analysis, and data visualization. Learners will also develop the skills needed to communicate their findings to stakeholders in a clear and concise manner.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use data to build predictive models and develop algorithms that can solve business problems. They have a strong understanding of mathematics, statistics, and computer science. This course provides the foundation needed to become a Data Scientist, including data collection, data wrangling, data analysis, data visualization, and machine learning.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines. They work closely with Data Scientists and Data Analysts to ensure that data is available and in a format that can be analyzed. This course provides the skills needed to become a Data Engineer, including data collection, data wrangling, data storage, and data processing.

See salaries and explore the career path for Data Engineer

Business Analyst

Business Analysts help organizations understand their business needs and develop data-driven solutions to solve those needs. They work closely with stakeholders to gather requirements, analyze data, and recommend solutions. This course provides the skills needed to become a Business Analyst, including data collection, data wrangling, data analysis, and data visualization.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, and interpret data to draw conclusions about the world around us. They use their understanding of statistics to develop models, test hypotheses, and make predictions. This course provides the foundation needed to become a Statistician, including data collection, data wrangling, data analysis, and data visualization.

See salaries and explore the career path for Statistician

Financial Analyst

Financial Analysts collect, analyze, and interpret financial data to make investment recommendations. They use their understanding of financial markets to develop investment strategies and portfolios. This course may be useful for Financial Analysts who want to develop data-driven investment strategies and portfolios.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts identify, assess, and manage risks. They use their understanding of risk to develop risk management strategies and policies. This course may be useful for Risk Analysts who want to develop data-driven risk management strategies and policies.

See salaries and explore the career path for Risk Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They work with stakeholders to develop insurance and retirement plans. This course may be useful for Actuaries who want to develop data-driven insurance and retirement plans.

See salaries and explore the career path for Actuary

Epidemiologist

Epidemiologists study the distribution and causes of disease. They use their understanding of epidemiology to develop public health policies and programs. This course may be useful for Epidemiologists who want to develop data-driven public health policies and programs.

See salaries and explore the career path for Epidemiologist

Market Research Analyst

Market Research Analysts collect, analyze, and interpret data to understand market trends and consumer behavior. They use their understanding of market research to develop marketing strategies and campaigns. This course may be useful for Market Research Analysts who want to develop data-driven marketing strategies and campaigns.

See salaries and explore the career path for Market Research Analyst

Compliance Analyst

Compliance Analysts ensure that organizations comply with laws and regulations. They work with stakeholders to identify compliance risks, develop compliance strategies, and monitor compliance. This course may be useful for Compliance Analysts who want to develop data-driven compliance strategies and monitoring systems.

See salaries and explore the career path for Compliance Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve business problems. They work with stakeholders to gather requirements, develop models, and make recommendations for business strategies. This course may be useful for Operations Research Analysts who want to develop data-driven models and solutions.

See salaries and explore the career path for Operations Research Analyst

Software Engineer

Software Engineers design, build, and maintain software applications. They work with stakeholders to gather requirements, develop software solutions, and test and debug software. This course may be useful for Software Engineers who want to develop data-driven applications.

See salaries and explore the career path for Software Engineer

Database Administrator

Database Administrators are responsible for the design, implementation, and maintenance of databases. They work with stakeholders to gather requirements, design databases, and optimize database performance. This course may be useful for Database Administrators who want to develop data-driven databases.

See salaries and explore the career path for Database Administrator

Web Developer

Web Developers design and build websites and web applications. They work with stakeholders to gather requirements, develop web solutions, and test and debug websites and web applications. This course may be useful for Web Developers who want to develop data-driven websites and web applications.

See salaries and explore the career path for Web Developer