Cloudera - CCP Data Scientist

Curriculum

Common skills

• Extract relevant features from a large data set that may contain bad records, partial records, errors or other forms of noise
• Extract features from data stored in a wide range of possible formats, including JSON, XML, raw text logs, industry-specific encodings and graph link data

DS700 - Descriptive and inferential statistics on big data

• Use statistical tests to determine confidence for a hypothesis
• Calculate common summary statistics, like mean, variance and counts
• Fit a distribution to a data set and use that distribution to predict event likelihoods
• Perform complex statistical calculations on a large dataset

DS701 - Advanced analytical techniques on big data

• Build a model that contains relevant features from a large dataset
• Define relevant data groupings, including number, size, and characteristics
• Assign data records from a large dataset into a defined set of data groupings
• Evaluate ‘goodness of fit’ for a given set of data groupings and a dataset
• Apply advanced analytical techniques, such as network graph analysis or outlier detection

DS702 - Machine learning at scale

• Build a model that contains relevant features from a large dataset
• Predict labels for an unlabelled data set using a labelled dataset for reference
• Select a classification algorithm that is appropriate for the given dataset
• Tune algorithm metaparameters to maximise algorithm performance
• Validation techniques to determine the successfulness of an algorithm for a given dataset