Raw Data to Insights: Data Ingestion & Statistical Analysis
Data Science
| Intermediate
- 10 videos | 53m 30s
- Includes Assessment
- Earns a Badge
Explore how statistical analysis can turn raw data into insights, and then examine how to use the data to improve business intelligence, in this 10-video course. Learn how to scrutinize and perform analytics on the collected data. The course explores several approaches for identifying values and insights from data by using various standard and intuitive principles, including data exploration and data ingestion, along with the practical implementation by using R. First, you will learn how to detect outliers by using R, and how to compare simple linear regression models, with and without outliers, to improve the quality of the data. Because today's data are available in diversified formats, with large volume and high velocity, this course next demonstrates how to use a variety of technologies: Apache Kafka, Apache NiFi, Apache Sqoop, and Wavefront (a program for simulating two-dimensional acoustic systems) to ingest data. Finally, you will learn how these tools can help users in data extraction, scalability, integration support, and security.
WHAT YOU WILL LEARN
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describe how we can use statistical analysis to add value to data
recorgnize the concept of data correction along with the various essential approaches of implementing data correction which includes data detection localization, imputation and correction
demonstrate how we can facilitate outlier detection using R
describe the layered architecture of data from the perspective of data ingestion, prcoessing, and visualization
list and compare the various essential data ingestion tools that we can use to ingest data -
set up Kafka and Apache NiFi to ingest data
demonstrate the steps involved in ingesting data from databases to Hadoop clusters using Sqoop
demonstrate how we can ingest data using WaveFront
detect outliers using R and ingest data using Apache NiFi and WaveFront
IN THIS COURSE
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1m 35s
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7m 38sAfter completing this video, you will be able to describe how statistical analysis can add value to data. FREE ACCESS
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3. Data Correction6m 34sIn this video, find out how to recognize the concept of data correction along with the various essential approaches of implementing data correction which includes data detection, localization, imputation, and correction. FREE ACCESS
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4. Outlier Detection5m 6sIn this video, you will learn how to facilitate outlier detection using R. FREE ACCESS
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5. Data Architecture Pattern4m 52sUpon completion of this video, you will be able to describe the layered architecture of data from the perspective of data ingestion, processing, and visualization. FREE ACCESS
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6. Data Ingestion Tools4m 30sAfter completing this video, you will be able to list and compare the various essential data ingestion tools. FREE ACCESS
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7. Kafka and Apache NiFi10m 32sLearn how to set up Apache Kafka and Apache NiFi to ingest data. FREE ACCESS
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8. Apache Sqoop Ingest5m 9sIn this video, you will learn about the steps involved in importing data from databases to Hadoop clusters using Sqoop. FREE ACCESS
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9. Ingest Using WaveFront3m 10sIn this video, you will learn how to ingest data using WaveFront. FREE ACCESS
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10. Exercise: Detecting Outliers and Ingesting Data4m 24sIn this video, find out how to detect outliers using R, ingest data using Apache NiFi, and send data to WaveFront. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.
