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Big Data Services

Capstone Project

Are you ready to close the loop on your Big Data skills? Do you want to apply all your knowledge you got from the previous courses in practice? Finally, in the Capstone project, you will integrate all the knowledge acquired earlier to build a real application leveraging the power of Big Data. You will be given a task to combine data from different sources of different types (static distributed dataset, streaming data, SQL or NoSQL storage). Combined, this data will be used to build a predictive model for a financial market (as an example). First, you design a system from scratch and share it with your peers to get valuable...

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big data applications predictive modeling financial market analysis capstone project coursera data integration

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Know what's good

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Provides hands-on experience working with Big Data, a valuable skill in many industries

Integrates theory learned in previous courses on Big Data

Requires learners to apply Big Data skills to practical scenarios, fostering critical thinking and problem-solving abilities

Suitable for learners with a solid foundation in Big Data concepts and tools

Involves working with real-world data, providing valuable practical experience

Guided by experienced instructors, Alexey A. Dral and Ivan Puzyrevskiy

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Career center

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

Statistician

Statisticians use data to draw conclusions about the world. The Capstone Project involves collecting and analyzing data to build a predictive model. This project will help one develop strong statistical skills and experience, key qualifications for Statisticians.

See salaries and explore the career path for Statistician

Quant Analyst

Quant Analysts use mathematical and statistical models to analyze financial data. The Capstone Project involves building a predictive model for a financial market. This project will help one develop skills in financial modeling and data analysis, in high demand for Quant Analysts.

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Data Engineer

Data Engineers design and build systems to store and process data. The Capstone Project involves data integration from multiple sources of different types. It also helps build data engineering skills such as data modeling and data transformation, which are essential for Data Engineers.

See salaries and explore the career path for Data Engineer

Machine Learning Research Scientist

Machine Learning Research Scientists develop new machine learning algorithms and techniques. The Capstone Project involves building a predictive model using machine learning techniques. This project will help one develop the skills and experience needed to conduct machine learning research.

See salaries and explore the career path for Machine Learning Research Scientist

Investment Analyst

Investment Analysts provide investment advice to clients. The Capstone Project involves building a predictive model that could be used to make investment decisions. This project will help one gain experience in financial data analysis and modeling, key skills for Investment Analysts.

See salaries and explore the career path for Investment Analyst

Data Scientist

Data Scientists use scientific methods and processes to extract knowledge and insights from data. In this course, learners will build a predictive model leveraging the power of Big Data and receive feedback from peers and service users. Completing this project can demonstrate one's ability to apply data science principles and methods, which is valuable for a Data Scientist.

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Big Data Engineer

Big Data Engineers design and build systems to store and process large volumes of data. The Capstone Project involves integrating data from multiple sources of various types into a real-world application. This type of experience makes one well-suited to addressing similar challenges as a Big Data Engineer.

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Financial Analyst

Financial Analysts use data to make investment recommendations. The Capstone Project involves building a predictive model for a financial market. This experience will help one gain experience with financial data analysis and modeling, key skills for Financial Analysts.

See salaries and explore the career path for Financial Analyst

Data Visualization Specialist

Data Visualization Specialists create visual representations of data to help communicate insights and trends. The Capstone Project involves presenting findings from a predictive model in a clear and concise way. This project will help one develop the skills needed to translate complex data into compelling visuals.

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Data Scientist for Healthcare

Data Scientists for Healthcare use data to improve healthcare outcomes. The Capstone Project involves building a predictive model that could be used to predict patient outcomes or identify patterns in medical data. This project will help one gain experience in healthcare data analysis and modeling, in demand for Data Scientists in Healthcare.

See salaries and explore the career path for Data Scientist for Healthcare

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. This course can help provide a foundation for this role because it includes building a predictive model for a financial market. By getting real-world experience through this project, one will be better prepared to tackle similar challenges in their career.

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Product Manager

Product Managers define the vision and roadmap for products. The Capstone Project combines data from different sources to build a predictive model. This experience will help one understand how to use data to make informed decisions, a valuable skill for Product Managers who need to understand user needs and market trends.

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Business Analyst

Business Analysts bridge the gap between business and technical teams. The Capstone Project can help one understand how to use data to solve business problems. It also helps build skills for working with different stakeholders, a key aspect of Business Analysis.

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Data Analyst

Data Analysts provide valuable insights by analyzing and interpreting data. The Capstone Project can help build a foundation for this role because it encompasses the entire data lifecycle, from data integration to predictive modeling. Understanding these processes will make one a more effective Data Analyst.

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Data Architect

This course helps build a foundation for Data Architects, who design and build data management systems. Whether planning or implementing architectural blueprints, understanding how different data sources of different types can be combined will improve your ability to build scalable and efficient data systems that meet business needs.

See salaries and explore the career path for Data Architect

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Time

12 hours

Via

Coursera

Institution

Yandex

Instructors

Alexey A. Dral

Ivan Puzyrevskiy

This course belongs to a collection called Big Data for Data Engineers. It's comprised of five courses:

Big Data Services: Capstone Project (viewing)
Big Data Applications: Machine Learning at Scale
Big Data Applications: Real-Time Streaming
Big Data Essentials: HDFS, MapReduce and Spark RDD
Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames

Good to know

Provides hands-on experience working with Big Data, a valuable skill in many industries

Integrates theory learned in previous courses on Big Data

Requires learners to apply Big Data skills to practical scenarios, fostering critical thinking and problem-solving abilities

Suitable for learners with a solid foundation in Big Data concepts and tools

Involves working with real-world data, providing valuable practical experience

Guided by experienced instructors, Alexey A. Dral and Ivan Puzyrevskiy

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