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Cloudera Data Scientist Training

  • Tuition USD $3,195 GSA  $2,736.27
  • Reviews star_rate star_rate star_rate star_rate star_half 2915 Ratings
  • Course Code DATA-SCI-TRAIN
  • Duration 4 days
  • Available Formats Classroom, Virtual

This four-day workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful.

Skills Gained

  • Overview of data science and machine learning at scale
  • Overview of the Hadoop ecosystem
  • Working with HDFS data and Hive tables using Hue
  • Introduction to Cloudera Data Science Workbench
  • Overview of Apache Spark 2
  • Reading and writing data
  • Inspecting data quality
  • Cleansing and transforming data
  • Summarizing and grouping data
  • Combining, splitting, and reshaping data
  • Exploring data
  • Configuring, monitoring, and troubleshooting Spark applications
  • Overview of machine learning in Spark MLlib
  • Extracting, transforming, and selecting features
  • Building and evaluating regression models
  • Building and evaluating classification models
  • Building and evaluating clustering models
  • Cross-validating models and tuning hyperparameters
  • Building machine learning pipelines
  • Deploying machine learning models
  • Spark, Spark SQL, and Spark MLlib
  • PySpark and sparklyr
  • Cloudera Data Science Workbench (CDSW)
  • Hue

Prerequisites

Workshop participants should have a basic understanding of Python or R and some experience exploring and analyzing data and developing statistical or machine learning models. Knowledge of Hadoop or Spark is not required.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

Everything went well. Enrollment process was easy and I always felt welcomed throughout the whole experience.

Overall the course material was great and the labs were hands on, which us nice when learning new material

Course information were appropriate, All communication related to course were on time.

Well organized, but the training should have included lab times as well, labs won't be done during breaks.

The tool provided to practice the course teachings is very functional and easy to use.

1 options available

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  • Jul 6, 2021 Jul 9, 2021 (4 days)
    Location
    Virtual
    Language
    English
    Time
    9:00 am 5:00 pm
    Enroll
    Enroll
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