Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Building Batch Data Pipelines on Google Cloud
Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.
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Course by
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Self Paced
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17 ساعات
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الإنجليزية
Build Data Analysis tools using R and DPLYR
In this 2-hour long project-based course, you will learn one of the most powerful data analysis tools of the experts: the DPLYR package. By learning the six main verbs of the package (filter, select, group by, summarize, mutate, and arrange), you will have the knowledge and tools to complete your next data analysis project or data transformation.
By the end of this project, you will be able to:
Use the six main dplyr verbs
Understand the dplyr package and its capabilities
Get hands-on practice using R and dplyr functions
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Data Visualization with Tableau
Dive deep into the compelling world of data visualization with this beginner-friendly course, illuminating the art of transforming data into insightful visuals using Tableau. Arranged in four comprehensive modules, this course outlines a clear learning trajectory, transitioning from foundational concepts to advanced visualization techniques. In the initial module, the focus is on grasping the essentials of Tableau, the cornerstone of effective data visualization.
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Course by
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Self Paced
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الإنجليزية
Excel Skills for Data Analytics and Visualization
As data becomes the modern currency, so the ability to quickly and accurately analyse data has become of paramount importance. Therefore, data analytics and visualization are two of the most sought after skills for high paying jobs with strong future growth prospects. According to an IBM report, the Excel tools for data analytics and visualization are among the top 10 competencies projected to show double-digit growth in their demand.
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Course by
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Self Paced
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الإنجليزية
Creating a Data Transformation Pipeline with Cloud Dataprep
This is a self-paced lab that takes place in the Google Cloud console. Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab you will explore the Cloud Dataprep UI to build a data transformation pipeline.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Creating Advanced Data Transformations using Cloud Dataprep
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will build upon a previous flow and learn some advanced tactics for preparing data.…
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Course by
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Self Paced
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الإنجليزية
Exploring and Analyzing Fifa's Datasets Using Python
In this 1-hour long project-based course, you will learn how to load a dataset into a pandas dataframe, you will learn how to tidy a messy dataset (Data Tidying), you will get to also visualize the dataset using Matplotlib and seaborn, you will learn how to engineer new features, you will also get to learn how to merge datasets (Data Integration)
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Course by
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Self Paced
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2 ساعات
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الإنجليزية