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Megan Smith Branch, Stacey McBrine, and Sarah Haq

The field of Data Science has topped the Linked In Emerging Jobs list for the last 3 years with a projected growth of 28% annually and the World Economic Forum lists Data Analytics and Scientists as the top emerging job for 2022.

Data can reveal insights and inform business—by guiding decisions and influencing day-to-day operations. This specialization will teach learners how to analyze, understand, manipulate, and present data within an effective and repeatable process framework and will enable you to bring value to the business by putting data science concepts into practice.

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The field of Data Science has topped the Linked In Emerging Jobs list for the last 3 years with a projected growth of 28% annually and the World Economic Forum lists Data Analytics and Scientists as the top emerging job for 2022.

Data can reveal insights and inform business—by guiding decisions and influencing day-to-day operations. This specialization will teach learners how to analyze, understand, manipulate, and present data within an effective and repeatable process framework and will enable you to bring value to the business by putting data science concepts into practice.

This course is designed for business professionals that want to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.

Certified Data Science Practitioner (CDSP) will prepare learners for the CertNexus CDSP certification exam.

To complete your journey to the CDSP Certification

Complete the Coursera Certified Data Science Practitioner Professional Certificate. Review the CDSP Exam Blueprint. Purchase your CDSP Exam Voucher. Register for your CDSP Exam.

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What's inside

Five courses

Address Business Issues with Data Science

This course is designed for business professionals who want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process.

Extract, Transform, and Load Data

This course teaches business and data professionals the first technical phase of the data science process known as Extract, Transform and Load (ETL). Learners will collect data from multiple sources, transform and clean it, and load it into its ultimate destination for analysis and modeling. Students should have experience working with data and aptitude with computer programming.

Analyze Data

This course is designed for business professionals that want to learn how to analyze data to gain insight, use statistical analysis methods to explore the underlying distribution of data, use visualizations such as histograms, scatter plots, and maps to analyze data and preprocess data to produce a dataset ready for training.

Train Machine Learning Models

This course introduces business professionals to machine learning concepts. Learners will test model hypothesis, train, tune, and evaluate models using algorithms that solve classification, regression, forecasting, and clustering problems.

Finalize a Data Science Project

This course teaches business professionals how to gather results from previous stages of a data science project and present them to stakeholders. Learners will communicate the results of a model to stakeholders, build a basic web app to demonstrate machine learning models, and implement and test pipelines that automate the model training, tuning, and deployment processes.

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