List the Cloudera Insane CCP:DS certification Program

Required Exams

·  ds700–descriptive and inferential Statistics on Big Data

·  ds701–advanced analytical techniques on Big Data  

·  Ds702-machine Learning at scale  

each exam May is taken in any order. All three exams must is passed within 365 days of each other. Candidates who fail an exam must wait a period of thirty calendar days, beginning the day after the failed attempt, before They may retake the same exam. Candidates must pay for each exam attempt.
exam transcript and History

Each exam are a single challenge scenario. You is provided access to the scenario, the data sets, and the cluster. You is given eight (8) hours to complete the challenge.

Required SkillsCommon Skills (all exams)

·  Extract relevant features from a large dataset/may contain bad records, partial records, errors, or other forms O F "Noise"

·  Extract features from a 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, such as mean, variance, and counts

·  Fit a distribution to a dataset and use this 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 to 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 the unlabeled dataset using a labeled DataSet for reference

·  Select A classification algorithm that's appropriate for the given dataset

·  Tune algorithm metaparameters to maximize algorithm performance

·  Use validation techniques to determine the successfulness of a given algorithm for the given dataset

Exam Delivery and Cluster information

All Ccp:data scientist exams is remote-proctored and available anywhere, anytime.

Currently, the cluster is open to the Internet and there be no restrictions on tools can install or websites or Resou RCEs.

List the Cloudera Insane CCP:DS certification Program