IBM Data Analyst Capstone Project from Coursera

By completing this final capstone project you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.

You will perform the various tasks that professional data analysts do as part of their jobs, including:

- Data collection from multiple sources

- Data wrangling and data preparation

- Exploratory data analysis

- Statistical analysis and data mining

- Data visualization with different charts and plots, and

- Interactive dashboard creation.

The project will culminate with a presentation of your data analysis report for various stakeholders in the organization. The report will include an executive summary, your analysis, and a conclusion. You will be assessed on both your work for the various stages in the Data Analysis process, as well as the final deliverable.

As part of this project you will demonstrate your proficiency with using Jupyter Notebooks, SQL, Relational Databases (RDBMS), Business Intelligence (BI) tools like Cognos, and Python Libraries such as Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, Seaborn and others.

This project is a great addition to your portfolio and an opportunity to showcase your Data Analytics skills to prospective employers.

What's inside

Syllabus

Data Collection

Data Collection is the first step in solving any analysis problem and can be collected in many formats and from many sources. In the first module of the Capstone, we will collect data by scraping the internet and using web APIs.

Data Wrangling

In this module, you will be focusing on the cleaning of your dataset with various techniques. With these techniques you will be identifying duplicate rows, finding missing values, and normalizing the data.

Exploratory Data Analysis

In this module, begin working with the cleaned dataset from the previous module. You will now begin to analyze the dataset to find the distribution of data, presence of outliers and the correlation between different columns.

Data Visualization

In module 4 of the Capstone, you will be required to create visualizations using the developer survey data. The visualizations you create should highlight the distribution of data, relationships between data, the composition of data, and comparison of data.

Building A Dashboard

In this module, you will create a dashboard using IBM Cognos Analytics. This platform will give you the ability to create various charts while assembling a dashboard that is appealing and easy to understand. Your dashboard will contain your data analysis, which should be intuitive and allow for the drill-down of data.

Final Assignment: Present Your Findings

You have analyzed the data in the previous modules, and now it is time to demonstrate your storytelling skills. In this module, you will create a compelling story that helps to clarify your analysis in an easy-to-understand presentation.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops techniques in data collection, wrangling, and analysis, which are core skills for data analysts

Builds a final dashboard with IBM Cognos, which is standard in industry

Emphasizes data visualization, which is highly relevant in industry

Develops proficiency with using Jupyter Notebooks, SQL, RDBMS, BI tools, and Python Libraries, which are highly relevant to industry

Taught by Rav Ahuja and Ramesh Sannareddy, who are recognized for their work in data science

Requires completion of previous courses in the IBM Data Analyst Professional Certificate, which may be a dealbreaker for some learners

Reviews summary

Ibm data analyst capstone project completion

Learners say this course offers engaging assignments to prepare aspiring analysts. Students will refine their data visualization capabilities using IBM's Cognos Analytics software. The final capstone project is highly rated, proving both challenging and rewarding. Previous knowledge of IBM's Watson and Jupyter notebook app is recommended.

This capstone project is well designed and rewarding to complete.

"The Capstone Project walks me through the whole process of a doing real project, and the final presentation requires actual writing up a report."

"I learned so much from this course about Data analysis Process. I gain skills Like, Python Language and Libraries, SQL, Advance excel and Data visualization tools."

The course content is generally good, with interesting and relevant readings and video materials.

"This specialization was on the top of my all courses. So many different choices for trying to learn data analysis: sql, python, excel, etc. Everything thoroughly explained."

"I love its video and reading materials, thank you all for making such course, i can definitely make a career out of it, i just recommend you all to give you time in this course."

IBM's software and cloud services experience frequent bugs, which can be frustrating and time-consuming to resolve.

"IT IS VERY HARD WITH LESS INFORMATION"

"Very poor course, the software is not working like Cognos, always mistakes"

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 IBM Data Analyst Capstone Project with these activities:

Resource Compilation

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Compile a collection of useful resources, such as articles, tutorials, and tools, to support your learning journey.

Browse courses on Data Analytics

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Identify reputable sources of information on data analytics and data science.
Organize and categorize resources based on topic and relevance.
Create a central repository for easy access to these resources.

Review SQL

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Review the basics of SQL to strengthen your foundation for data analysis in this course.

Browse courses on SQL

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Browse online resources to recap SQL concepts.
Attempt practice problems to test your understanding.
Review SQL tutorials to refresh your memory.

Data Manipulation Exercises

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Practice data manipulation techniques to enhance your proficiency in preparing datasets for analysis.

Browse courses on Data Manipulation

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Use Jupyter Notebooks to import and explore a sample dataset.
Apply data cleaning methods to handle missing values and outliers.
Perform data transformations to prepare the dataset for analysis.
Validate the cleaned and transformed dataset.

Four other activities

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Show all seven activities

Exploratory Data Analysis Techniques

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Follow guided tutorials to gain insights into data using exploratory analysis techniques.

Browse courses on Exploratory Data Analysis

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Explore the Pandas library for data manipulation and analysis.
Utilize Matplotlib and Seaborn for data visualization.
Apply EDA techniques to identify trends, patterns, and outliers.

Data Analysis Presentation

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Create a data analysis presentation to showcase your understanding and ability to communicate data insights effectively.

Browse courses on Data Analysis

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Gather and analyze data relevant to a specific business problem.
Develop compelling data visualizations to present your findings.
Craft a clear and concise narrative to explain the data and its implications.
Practice delivering your presentation to enhance your communication skills.

Kaggle Data Analysis Competition

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Participate in a Kaggle competition to test your skills, enhance your learning, and gain recognition in the data analytics community.

Browse courses on Data Analytics

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Identify and select a Kaggle competition aligned with your interests and skill level.
Explore the competition data, problem statement, and evaluation metrics.
Develop and implement data analysis strategies to solve the problem.
Submit your solution and track your progress on the leaderboard.
Analyze your results and learn from the feedback and solutions of others.

Contribute to Open-Source Data Analytics Projects

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Contribute to open-source data analytics projects to gain experience, showcase your skills, and collaborate with the community.

Browse courses on Data Analytics

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Identify open-source data analytics projects on platforms like GitHub.
Review the project documentation, codebase, and issue tracker.
Fix bugs, implement new features, or improve documentation.
Submit pull requests and participate in code reviews.

Career center

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

Data Analyst

The IBM Data Analyst Capstone Project is a great opportunity to develop the skills needed to succeed as a Data Analyst. This course will provide you with hands-on experience in data collection, wrangling, exploration, visualization, and dashboard creation. These are all essential skills for Data Analysts, who are responsible for turning raw data into actionable insights. The course also covers the use of popular data analysis tools and technologies, such as Jupyter Notebooks, SQL, Python, and Cognos Analytics. This will give you a strong foundation for a career in data analysis.

See salaries and explore the career path for Data Analyst

Data Scientist

The IBM Data Analyst Capstone Project is a valuable resource for aspiring Data Scientists. This course will help you build a strong foundation in data analysis, which is essential for success in this field. You will learn how to collect, clean, explore, visualize, and interpret data. You will also gain experience in using popular data analysis tools and technologies, such as Jupyter Notebooks, SQL, Python, and Cognos Analytics. This course will give you the skills and knowledge you need to launch a successful career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Business Analyst

The IBM Data Analyst Capstone Project is a great choice for individuals interested in a career as a Business Analyst. This course will provide you with a comprehensive overview of the data analysis process, from data collection to visualization. You will learn how to use data to solve business problems and make informed decisions. The course also covers the use of popular data analysis tools and technologies, such as Jupyter Notebooks, SQL, Python, and Cognos Analytics. This will give you the skills and knowledge you need to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Data Engineer

The IBM Data Analyst Capstone Project is a helpful resource for aspiring Data Engineers. This course will provide you with a solid foundation in data management and engineering. You will learn how to design and build data pipelines, as well as how to store and manage data. The course also covers the use of popular data engineering tools and technologies, such as Apache Hadoop, Apache Spark, and Apache Hive. This course will give you the skills and knowledge you need to launch a successful career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Statistician

The IBM Data Analyst Capstone Project is a helpful resource for aspiring Statisticians. This course will provide you with a strong foundation in statistical methods and techniques. You will learn how to collect, analyze, and interpret data. The course also covers the use of popular statistical software, such as R and SAS. This course will give you the skills and knowledge you need to launch a successful career as a Statistician.

See salaries and explore the career path for Statistician

Machine Learning Engineer

The IBM Data Analyst Capstone Project may be useful for aspiring Machine Learning Engineers. This course will provide you with a foundation in data analysis and machine learning. You will learn how to build and train machine learning models, as well as how to evaluate their performance. The course also covers the use of popular machine learning tools and technologies, such as Python, scikit-learn, and TensorFlow. This course will give you the skills and knowledge you need to launch a successful career as a Machine Learning Engineer.

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Software Engineer

The IBM Data Analyst Capstone Project may be useful for aspiring Software Engineers who are interested in data analysis. This course will provide you with a foundation in data analysis and programming. You will learn how to use Python and other programming languages to collect, clean, and analyze data. The course also covers the use of popular data analysis tools and technologies, such as Jupyter Notebooks and SQL. This course will give you the skills and knowledge you need to launch a successful career as a Software Engineer with a focus on data analysis.

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Financial Analyst

The IBM Data Analyst Capstone Project may be useful for aspiring Financial Analysts who are interested in using data to make investment decisions. This course will provide you with a foundation in data analysis and finance. You will learn how to use data to analyze financial statements and make informed investment decisions. The course also covers the use of popular data analysis tools and technologies, such as Bloomberg and Capital IQ. This course will give you the skills and knowledge you need to launch a successful career as a Financial Analyst with a focus on data analysis.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

The IBM Data Analyst Capstone Project may be useful for aspiring Operations Research Analysts who are interested in using data to improve business operations. This course will provide you with a foundation in data analysis and operations research. You will learn how to use data to identify and solve business problems. The course also covers the use of popular data analysis tools and technologies, such as Python and R. This course will give you the skills and knowledge you need to launch a successful career as an Operations Research Analyst with a focus on data analysis.

See salaries and explore the career path for Operations Research Analyst

Marketing Analyst

The IBM Data Analyst Capstone Project may be useful for aspiring Marketing Analysts who are interested in using data to improve marketing campaigns. This course will provide you with a foundation in data analysis and marketing. You will learn how to use data to understand customer behavior and make informed decisions about marketing campaigns. The course also covers the use of popular data analysis tools and technologies, such as Google Analytics and Adobe Analytics. This course will give you the skills and knowledge you need to launch a successful career as a Marketing Analyst with a focus on data analysis.

See salaries and explore the career path for Marketing Analyst

Risk Analyst

The IBM Data Analyst Capstone Project may be useful for aspiring Risk Analysts who are interested in using data to identify and mitigate risks. This course will provide you with a foundation in data analysis and risk management. You will learn how to use data to identify and assess risks. The course also covers the use of popular data analysis tools and technologies, such as Python and R. This course will give you the skills and knowledge you need to launch a successful career as a Risk Analyst with a focus on data analysis.

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Product Manager

The IBM Data Analyst Capstone Project may be useful for aspiring Product Managers who are interested in data-driven decision-making. This course will provide you with a foundation in data analysis and product management. You will learn how to use data to understand customer needs and make informed decisions about product development. The course also covers the use of popular data analysis tools and technologies, such as Google Analytics and Mixpanel. This course will give you the skills and knowledge you need to launch a successful career as a Product Manager with a focus on data analysis.

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UX Researcher

The IBM Data Analyst Capstone Project may be useful for aspiring UX Researchers who are interested in using data to improve user experience. This course will provide you with a foundation in data analysis and UX research. You will learn how to use data to understand user behavior and make informed decisions about UX design. The course also covers the use of popular data analysis tools and technologies, such as Google Analytics and Mixpanel. This course will give you the skills and knowledge you need to launch a successful career as a UX Researcher with a focus on data analysis.

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Data Journalist

The IBM Data Analyst Capstone Project may be useful for aspiring Data Journalists who are interested in using data to tell stories. This course will provide you with a foundation in data analysis and journalism. You will learn how to use data to find and tell stories that are both informative and engaging. The course also covers the use of popular data analysis tools and technologies, such as Python and R. This course will give you the skills and knowledge you need to launch a successful career as a Data Journalist with a focus on data analysis.

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Data Librarian

The IBM Data Analyst Capstone Project may be useful for aspiring Data Librarians who are interested in managing and organizing data. This course will provide you with a foundation in data analysis and library science. You will learn how to collect, organize, and manage data. The course also covers the use of popular data management tools and technologies, such as SQL and NoSQL databases. This course will give you the skills and knowledge you need to launch a successful career as a Data Librarian with a focus on data analysis.

See salaries and explore the career path for Data Librarian