If you are doing data visualisation with ggplot the you'll find this video useful. ggplot2 is one of the tidyverse packages and is used to create graphs and plots. Data visualization is an important part of both understanding and...

If you are using R programming to do data visualisation then you'll love working with the ggplot2 package. This video is part of the advanced ggplot series and in it we explore the use of facets in your plots and graphs. You might be...

Encircled observations - use ggplot and ggalt to create great plots and data visualization.

In this short math video we will find & compare median and range of two line plots to answer a standardized math test question. We will define median and range. We will understand that the median of a data set is found by putting the...

Learn the basic feature of SIEM solutions; logs aggregation using Powershell commands.

This video explains skewness.<br<br/>/>

This clip is from the chapter "Exploratory Data Analysis" of the series "R Programming for Statistics and Data Science".This section explains exploratory data analysis.

This video explains getting a sense of your data frame.<br<br/>/>

This clip is from the chapter "Data Frames" of the series "R Programming for Statistics and Data Science".This section explains data frames.

This video reviews a math test prep question on comparing mean and mean absolute deviation (MAD) using line plots to record the number of whales seen on morning and afternoon whale watch trips. The teacher explains how to find the mean...

In this video, you will learn how to write your data and manage layout.
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This clip is from the chapter "Spark Data Sources and Sinks" of the series "Spark Programming in Python for Beginners with Apache Spark 3".In this...

This video explains mean, median, mode.<br<br/>/>

This clip is from the chapter "Exploratory Data Analysis" of the series "R Programming for Statistics and Data Science".This section explains exploratory data analysis.

This video explains decomposition of variability: SST, SSR, SSE.
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This clip is from the chapter "Linear Regression Analysis" of the series "R Programming for Statistics and Data Science".This section explains linear regression...

This video explains building a function in R 2.0
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This clip is from the chapter "Fundamentals of Programming with R" of the series "R Programming for Statistics and Data Science".This section explains fundamentals of...

In this video, you will learn how to implement Bucket joins.
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This clip is from the chapter "Spark Dataframe Joins" of the series "Spark Programming in Python for Beginners with Apache Spark 3".In this section, you will learn...

This video explains tidying data in R - gather() and separate().<br<br/>/>

This clip is from the chapter "Manipulating Data" of the series "R Programming for Statistics and Data Science".This section explains manipulating data.

This video provides an overview of Amazon QuickSight's pricing and dashboards.
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This clip is from the chapter "Domain 5: Visualization" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section,...

This video introduces Apache Spark.
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This clip is from the chapter "Domain 3: Processing" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section, we will complete our "order history app" example...

This video focuses on Glue costs and anti-patterns.
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This clip is from the chapter "Domain 3: Processing" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section, we will complete our "order...

This video explains how to integrate Apache Spark with Amazon Kinesis and Redshift.
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This clip is from the chapter "Domain 3: Processing" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section,...

In this lesson, we will learn how to run and execute Python code on Google Colaboratory, a cloud-based platform for running Jupyter notebooks. The lesson will start by reviewing the Python code that was prepared in the previous lesson...

In this lesson, you will learn how to use ChatGPT to generate Python code for working with large datasets. You will be shown how to use prompt engineering to describe the features and requirements of your project and data set in order to...

In this lesson, we will learn how to use Python to clean a CSV file by removing any missing values or duplicates. Data cleaning is an important step in data preparation for fine-tuning, as duplicates and missing values can negatively...

In this lesson, we will discuss the format of the data used for fine-tuning a GPT model. We will begin by exploring how to prepare different data sets, discussing their strengths and weaknesses, and sharing tips on how to have good data...

In this lesson, you will learn about the powerful technique of fine-tuning pre-trained models for specific natural language processing (NLP) applications. You will cover key concepts and the necessary steps required to successfully...

This video explains how to select the visualization types in Amazon QuickSight.
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This clip is from the chapter "Domain 5: Visualization" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section,...