Databricks
Data Science with Databricks for Data Analysts Specialization
Databricks

Data Science with Databricks for Data Analysts Specialization

Taught in English

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Kate Sullivan
Mark Roepke
Kevin Coyle

Instructors: Kate Sullivan

16,347 already enrolled

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.4

(460 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Discover how Databricks and Apache Spark simplify big data processing and optimize data analysis.

  • Frame business problems for data science and machine learning to make the most out of big data analytic workflows.

  • Solve real-world business problems quickly using Databricks to power the most popular data science techniques.

Details to know

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.4

(460 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Databricks
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Specialization - 3 course series

Apache Spark (TM) SQL for Data Analysts

Course 113 hours4.5 (497 ratings)

What you'll learn

  • Ingest, transform, and query data to extract valuable insights.

  • Leverage existing SQL skills to start working with Apache Spark.

Skills you'll gain

Category: Data Analysis
Category: Spark SQL
Category: SQL

Data Science Fundamentals for Data Analysts

Course 218 hours4.2 (53 ratings)

What you'll learn

  • Apply foundational data science concepts and techniques to solve these real-world problems.

  • Design, execute, assess, and communicate the results of your very own data science projects.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Machine Learning

Applied Data Science for Data Analysts

Course 316 hours4.4 (50 ratings)

What you'll learn

  • Explore data using unsupervised machine learning.

  • Solve complex supervised learning problems using tree-based models.

  • Apply hyperparameter tuning and cross-validation strategies to improve model performance.

Skills you'll gain

Category: Data Science
Category: Machine Learning
Category: Databricks

Instructors

Kate Sullivan
Databricks
1 Course25,913 learners

Offered by

Databricks

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