Raw Data to Insights: Data Ingestion & Statistical Analysis

Data Science    |    Intermediate
  • 10 videos | 53m 30s
  • Includes Assessment
  • Earns a Badge
Rating 4.1 of 31 users Rating 4.1 of 31 users (31)
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

  • 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

  • 1m 35s
  • 7m 38s
    After completing this video, you will be able to describe how statistical analysis can add value to data. FREE ACCESS
  • Locked
    3.  Data Correction
    6m 34s
    In 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 Detection
    5m 6s
    In this video, you will learn how to facilitate outlier detection using R. FREE ACCESS
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    5.  Data Architecture Pattern
    4m 52s
    Upon 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 Tools
    4m 30s
    After 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 NiFi
    10m 32s
    Learn how to set up Apache Kafka and Apache NiFi to ingest data. FREE ACCESS
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    8.  Apache Sqoop Ingest
    5m 9s
    In 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 WaveFront
    3m 10s
    In this video, you will learn how to ingest data using WaveFront. FREE ACCESS
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    10.  Exercise: Detecting Outliers and Ingesting Data
    4m 24s
    In this video, find out how to detect outliers using R, ingest data using Apache NiFi, and send data to WaveFront. FREE ACCESS

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