Big Data Analytics from edX

Gain essential skills in today’s digital age to store, process and analyse data to inform business decisions.

In this course, part of the Big Data MicroMasters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools such as Apache Spark and R.

Topics covered in this course include:

cloud-based big data analysis;
predictive analytics, including probabilistic and statistical models;
application of large-scale data analysis;
analysis of problem space and data needs.

By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative.

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Intended for learners who want to develop their knowledge of big data analytics and enhance their programming and mathematical skills

Develops essential analytic tools such as Apache Spark and R

Taught by Dr. Frank Neumann, Dr. Claudia Szabo, Dr. Lewis Mitchell, Lewis Mitchell, Simon Tuke, David Suter, who are recognized for their work in big data analytics

Discusses predictive analytics, including probabilistic and statistical models

Examines application of large-scale data analysis and analysis of problem space and data needs, which are highly relevant to industry

Requires learners to come in with some background knowledge first

Career center

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

Data Scientist

Data Scientists use scientific methods to analyze data and extract meaningful insights. They work with large datasets to identify patterns, trends, and relationships. This course can help you become a Data Scientist by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to identify valuable insights that can help businesses make better decisions.

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Statistician

Statisticians use data to draw conclusions about the world around us. They work with stakeholders to understand their needs and develop models to meet those needs. This course can help you become a Statistician by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to develop more accurate and reliable statistical models.

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Data Architect

Data Architects design and implement data management solutions. They work with stakeholders to understand their data needs and develop systems to meet those needs. This course can help you become a Data Architect by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to design and implement more effective data management solutions.

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Quantitative Analyst

Quantitative Analysts use data to develop and implement trading strategies. They analyze data to identify patterns and trends that can be used to make profitable trades. This course can help you become a Quantitative Analyst by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to develop and implement more effective trading strategies.

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Machine Learning Engineer

Machine Learning Engineers use vast quantities of data to build, test, and deploy machine learning models that power AI systems. They play a critical role in developing self-driving cars, fraud detection systems, and personalized recommendation engines. This course can help you become a Machine Learning Engineer by providing you with a solid foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to build and deploy machine learning models that can solve complex business problems.

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Database Administrator

Database Administrators manage and maintain databases. They work with stakeholders to understand their data needs and develop systems to meet those needs. This course can help you become a Database Administrator by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to manage and maintain databases more effectively.

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Business Analyst

Business Analysts use data to identify and solve business problems. They work with stakeholders to understand their needs and develop solutions that meet those needs. This course can help you become a Business Analyst by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to identify and solve complex business problems.

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Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of business operations. They analyze data to identify bottlenecks, inefficiencies, and opportunities for improvement. This course can help you become an Operations Research Analyst by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to identify valuable insights that can help you improve the efficiency of business operations.

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Risk Analyst

Risk Analysts use data to identify and mitigate risks. They analyze data to identify potential risks and develop strategies to mitigate those risks. This course can help you become a Risk Analyst by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to identify and mitigate risks more effectively.

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Actuary

Actuaries use data to assess and manage risks. They work with stakeholders to understand their needs and develop models to meet those needs. This course can help you become an Actuary by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to assess and manage risks more effectively.

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Investment Analyst

Investment Analysts use data to make investment decisions. They work with stakeholders to understand their needs and develop models to meet those needs. This course can help you become an Investment Analyst by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to make more informed investment decisions.

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Software Engineer

Software Engineers design, develop, and implement software systems. They work with stakeholders to understand their needs and develop systems to meet those needs. This course can help you become a Software Engineer by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to design and develop more effective software systems.

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Financial Analyst

Financial Analysts use data to make investment decisions. They analyze financial data to identify trends, patterns, and relationships. This course can help you become a Financial Analyst by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to identify valuable insights that can help you make better investment decisions.

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Marketing Analyst

Marketing Analysts use data to understand customer behavior and develop marketing campaigns. They analyze data to identify trends, patterns, and relationships. This course can help you become a Marketing Analyst by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to identify valuable insights that can help you develop more effective marketing campaigns.

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Financial Manager

Financial Managers are responsible for the financial health of an organization. They work with stakeholders to understand their needs and develop strategies to meet those needs. This course can help you become a Financial Manager by providing you with a strong foundation in big data analytics, programming, and mathematics. You will learn how to use essential analytic tools such as Apache Spark and R to store, process, and analyze large-scale data. This will enable you to develop more effective financial strategies.

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