Data Scientist Training - Iverson Associates Sdn Bhd

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Training with Iverson classes

Training is not a commodity – all training centres are not the same. Iverson Associates Sdn Bhd is the most established, the most reputable, and the top professional IT training provider in Malaysia. With a large pool of experienced and certified trainers, state-of-the-art facilities, and well-designed courseware, Iverson offers superior training, a more impactful learning experience and highly effective results.

At Iverson, our focus is on providing high-quality IT training to corporate customers, meeting their learning needs and helping them to achieve their training objectives. Iverson has the flexibility to provide training solutions whether for a single individual or the largest corporation in a well-paced or accelerated training programme.

Our courses continue to evolve along with the fast-changing technological advances. Our instructor-led training services are available on a public and a private (in-company) basis. Some of our courses are also available as online, on demand, and hybrid training.

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Cloudera Data Scientist Training

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.

Additional Info

Certification Course only
Course Code CDST
Price RM13600
Exam Price Exclude
Duration 4 Days
Principals Cloudera
Schedule
11-14 Mar 2024
4-7 Jun 2024
16-19 Dec 2024
Audience
Prerequisities
At Course Completion
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.

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.
Module 1 Title Overview of data science and machine learning at scale
Module 1 Content
Module 2 Title Overview of the Hadoop ecosystem
Module 2 Content
Module 3 Title Working with HDFS data and Hive tables using Hue
Module 3 Content
Module 4 Title Introduction to Cloudera Data Science Workbench
Module 4 Content
Module 5 Title Overview of Apache Spark 2
Module 5 Content
Module 6 Title Reading and writing data
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Module 7 Title Inspecting data quality
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Module 8 Title Cleansing and transforming data
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Module 9 Title Summarizing and grouping data
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Module 10 Title Combining, splitting, and reshaping data
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Module 11 Title Exploring data
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Module 12 Title Configuring, monitoring, and troubleshooting Spark applications
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Module 13 Title Overview of machine learning in Spark MLlib
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Module 14 Title Extracting, transforming, and selecting features
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Module 15 Title Building and evaluating regression models
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Module 16 Title Building and evaluating classification models
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Module 17 Title Building and evaluating clustering models
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Module 18 Title Cross-validating models and tuning hyperparameters
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Module 19 Title Building machine learning pipelines
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Module 20 Title Deploying machine learning models
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