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Alexey A. Dral
and
Ivan Puzyrevskiy
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...
Read more
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...
Read more
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 feedback. Second, you can make it public, so get ready to receive the feedback from your service users. Real-world experience without any 3G-glasses or mock interviews.
Register for this course and see more details by visiting:
OpenCourser.com/course/vqz08v/big
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
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:
Data Engineer
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.
Machine Learning Research Scientist
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.
Quant Analyst
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.
Statistician
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.
Data Scientist
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.
Financial Analyst
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.
Data Visualization Specialist
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.
Investment Analyst
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.
Big Data Engineer
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.
Data Scientist for Healthcare
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.
Product Manager
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.
Machine Learning Engineer
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.
Business Analyst
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.
Data Analyst
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.
Data Architect
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.
For more career information including salaries, visit:
OpenCourser.com/course/vqz08v/big
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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:
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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