Analytics and Big Data Training Courses

• Databricks Topic: Analytics and Big Data | Code: EX-ASSO-DEV-APACHE

  Databricks Certified Associate Developer for Apache Spark 3.0 (Course)

  EX-ASSO-DEV-APACHE

  The Databricks Certified Associate Developer for Apache Spark 3.0 certification exam assesses the understanding of the Spark DataFrame API and the ability to apply the Spark DataFrame API to complete...

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• Databricks Topic: Analytics and Big Data | Code: EX-ASSO-DEV-APA-24

  Databricks Certified Associate Developer for Apache Spark 2.4 (Course)

  EX-ASSO-DEV-APA-24

  The Databricks Certified Associate Developer for Apache Spark 2.4 certification exam assesses the understanding of the Spark DataFrame API and the ability to apply the Spark DataFrame API to complete...

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• Databricks Topic: Analytics and Big Data | Code: OPT-AS

  Optimizing Apache Spark™ on Databricks (Course)

  OPT-AS

  In this course, students will explore five key problems that represent the vast majority of performance problems in an Apache Spark application: skew, spill, shuffle, storage, and serialization. With...

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• Databricks Topic: AI & Machine Learning | Code: EX-PRO-DS

  Databricks Certified Professional Data Scientist (Course)

  EX-PRO-DS

  The Databricks Certified Professional Data Scientist certification exam assesses the understanding of the basics of machine learning and the steps in the machine learning lifecycle, including data...

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• Databricks Topic: Analytics and Big Data | Code: EX-ASSO-ML-APA-24

  Databricks Certified Associate ML Practitioner for Apache Spark 2.4 (Course)

  EX-ASSO-ML-APA-24

  The Databricks Certified Associate ML Practitioner for Apache Spark 2.4 certification exam assesses the understanding of basic machine learning concepts and machine learning workflow knowledge,...

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• Databricks Topic: Development | Code: DB096

  Databricks - Just Enough Python for Apache Spark (Course)

  DB096

  This course begins with a basic introduction to values, variables, and data types. It then progresses into conditional and control statements followed up with an introduction to methods, functions,...

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• Databricks Topic: AI & Machine Learning | Code: DB401

  Databricks - Scalable Deep Learning with TensorFlow and Apache Spark (Course)

  DB401

  This course starts with the basics of the tf.keras API including defining model architectures, optimizers, and saving/loading models. You then learn advanced concepts such as callbacks,...

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• Databricks Topic: Development | Code: ASPD

  Apache Spark Programming with Databricks (Course)

  ASPD

  This course uses a case study driven approach to explore the fundamentals of Spark Programming with Databricks, including Spark architecture, the DataFrame API, Structured Streaming, and query...

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• Databricks Topic: Analytics and Big Data | Code: DEWD

  Data Engineering with Databricks (Course)

  DEWD

  This course begins with a review of programming with Spark APIs and an introduction to key terms and definitions of Databricks data engineering tools, followed by an overview of DB Connect, the Spark...

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• Databricks Topic: AI & Machine Learning | Code: SMLAS

  Databricks - Scalable Machine Learning with Apache Spark (Course)

  SMLAS

  This course guides students through the process of building machine learning solutions using Spark. You will build and tune ML models with SparkML using transformers, estimators, and pipelines. This...

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