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    Data Analytics Overview | Data Science With Python Tutorial



    The Data Science with Python course is designed to impart an in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The course is packed with real-life projects, assignment, demos, and case studies to give a hands-on and practical experience to the participants.

    Mastering Python and using its packages: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization.

    Mastering advanced analytics techniques: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it's modeling, and implementation using SAS.

    As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis.

    Python for Data Science Certification Training: http://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=Introduction-Python-Data-Science-ZH13ZXh1_-w&utm_medium=SC&utm_source=youtube

    Who should take this course?
    There is a booming demand for skilled data scientists across all industries that make this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals:
    1. Analytics professionals who want to work with Python
    2. Software professionals looking for a career switch in the field of analytics
    3. IT professionals interested in pursuing a career in analytics
    4. Graduates looking to build a career in Analytics and Data Science
    5. Experienced professionals who would like to harness data science in their fields
    6. Anyone with a genuine interest in the field of Data Science

    For more updates on courses and tips follow us on:
    - Facebook : https://www.facebook.com/Simplilearn
    - Twitter: https://twitter.com/simplilearn

    Get the android app: http://bit.ly/1WlVo4u
    Get the iOS app: http://apple.co/1HIO5J0

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    National College of Ireland & MSc Data Analytics - Danish from India



    https://www.ncirl.ie/Courses/Course-Details/course/MSCDAD

    Danish shares his opinions on the National College of Ireland and his course, Data analytics.

    Danish was paid for his time by DubJobs to feature in this video. DubJobs was not paid by or has any affiliation to the National College of Ireland.

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    Data analytics and data integration of complex data



    Watch this webinar and get familiar with the basics of data analytics. Understand how to use data analytics in your day-to-day business activities. Learn how data analytics can generate value from your data.

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    Youtube trigger isn’t working in Google Tag Manager? 6 ways to fix it

    Updated: March 6th, 2019. This is an updated version of the blog post posted back in 2016 (when the built-in Youtube trigger was not a thing in GTM yet).

    In the autumn of 2017, Google Tag Manager team released multiple awesome features and native Youtube trigger was one of them. Before that happened, the industry was utilizing custom video tracking solutions created by Bounteous (ex Lunametrics) or Cardinal Path.

    Even though the new Youtube trigger was a great addition to the feature set within GTM, it wasn’t (and still isn’t) bulletproof. Due to particular factors (I’ll explain them later), it will not be able to track some YT players. That’s why you can still occasionally see new posts popping up in GTM communities or forums asking for help tracking YT videos.

    In this blog post, I’ll share several tips/workarounds you can implement in order to track videos when the Youtube trigger isn’t working in Google Tag Manager.

    Table of contents

    • The result you should expect from the built-in Youtube trigger in GTM
    • Why is the built-in Youtube trigger not working in Google Tag Manager?
    • How to fix Youtube trigger in Google Tag Manager? (+ some alternatives)
      • #1. Enable JavaScript API support to all embedded Youtube videos
      • #2. Play around with the new “Enable this trigger on” setting
      • #3. Load the Youtube Iframe API library
      • #4. Privacy-enhanced mode
    • Other solutions to replace the built-in Youtube trigger in GTM
      • #5. Custom Youtube listener by Bounteous
      • #6. Modified Cardinal Path’s solution
    • Conclusion: what to do when Youtube trigger in Google Tag Manager is not working

     

    The result you should expect from the built-in Youtube trigger in GTM

    Here’s how Youtube video tracking should work in the perfect scenario:

    1. You must have at least one Youtube video trigger enabled on a page
    2. When you interact with the embedded Youtube video player, a gtm.video event appears in the Preview and Debug console (that’s because the Youtube auto-event listener catches the interaction and pushes it to the Data Layer).
    3. If this happens, you’re good to go. Enabled built-in video variables in GTM, create a tag (e.g. GA Event) and fire it on those gtm.video Data Layer events.

    However, this does not always happen. The main problem that occurs with Youtube trigger in GTM is that gtm.video does not appear with all videos. Why?

     

    Why is the built-in Youtube trigger not working in Google Tag Manager?

    The main cause of this problem is a thing called lazy-loaded videos. For example, if a video player is not loaded together with the entire page document but later (e.g. in a popup after a user clicks a big blue button on your homepage), that is considered as a lazy-loaded video and the built-in GTM trigger will not track its interactions.

    Another quite popular reason for the Youtube trigger not working is the absence of the enablejsapi query parameter in the embedded YT video player code. When this parameter is set to 1, the website (and GTM, of course) can start listening to the player via JavaScript API.

    Other possible reasons are: the embedded Youtube video is using privacy-enhanced mode or has a query parameter origin set to null. Let’s take a closer look at them and what are the possible solutions.

    Google Tag Manager Course for Beginners - Learn More

    How to fix Youtube trigger in Google Tag Manager? (+ some alternatives)

     

    #1. Enable JavaScript API support to all embedded Youtube videos

    The first thing you could do with the trigger if you’re not seeing gtm.video events in the Preview and Debug console is to enable JavaScript API support. How can you do that? You have two options:

    #1.1 Ask a developer (or change it yourself if you have access to the website’s code) to add an additional query parameter enablejsapi=1 to the URL of the embedded Youtube video. Before you do that, you need to make sure that this is a problem at all. Inspect the video player and keep looking for the iframe element that loads the YT video. Check its src attribute. Does the URL contain enablejsapi=1? If no, then you could indeed ask a developer to add this parameter to the embedded video’s URL.

    #2.2. Use the checkbox in trigger’s settings: Add JavaScript API support to all Youtube videos. After you enable this checkbox, Google Tag Manager will check the existing embedded YT videos on a page and if some of them are missing this query parameter, it will be added automatically.

    The main advantage of this solution is that it does not require a developer’s input. But on the other hand, it will add a flicker effect to the player. This means that GTM will reload the player once in order to load it with the enablejsapi query parameter present. This can become an issue if a video on your page starts playing automatically (because it might start playing, then GTM will reload it and it will start playing again). This is a VERY rare edge case (but still worth knowing).

    Important: If the embedded YT video is already using the enablejsapi parameter that is set to 0 (enablejsapi=0), then GTM will not change its value to 1. Unfortunately, that’s how GTM works right now (thanks to Simo Ahava for his comment).

    Also, another important note from Simo was that if the embedded player’s URL contains the query parameter origin that is set to null (origin=null), Youtube trigger will also not work. Ask a developer to remove that parameter from the URL (or it should contain the URL of the domain that the player is embedded on).

     

    #2. Play around with the new “Enable this trigger on” setting

    One of the main reasons why I published this blog post today is the new feature in GTM. On March 6th, Google Tag Manager team added a new setting to YT and Scroll triggers. You can now control when the trigger is enabled on a page:

    • On the earliest moment when GTM container loads (gtm.js event)
    • When the Document Object Module is ready, a.k.a. DOM Ready (gtm.dom event)
    • When all scripts are loaded on a page, a.k.a. Window Loaded (gtm.load event)

    By default, Youtube Trigger is enabled on the DOM Ready event, however, you may try to delay it and enable on Window Loaded. Maybe that will help if the video is injected dynamically into the page and that happens after the DOM ready event has already occurred.

     

    #3. Load the Youtube Iframe API library

    I’ve learned this today as Sergii Lysenko (a member of the GTM community on Facebook) shared his tip (and Simo added his two cents as well). Thanks!

    In addition to the enablejsapi=1 requirement, there are two more things you need to keep in mind in order to make the Youtube listener start working. If at least one of those two things (read requirements) is met then the built-in YT trigger in GTM will work:

    • An embedded video must be already present on a page when GTM container loads
    • Or the Youtube Iframe API script must be present on a page when GTM container loads

    So if one of these two things are present on a page, then the YT listener will be activated and will start listening to video interactions.

    However, as I have mentioned at the beginning of this blog post, the main problem comes with the lazy-loaded videos. When GTM loads, the lazily loaded video (and the Youtube Iframe API script) are not present yet, therefore, the listener never activates.

    A solution? Load the Youtube API script before the Youtube Trigger is enabled. Create a Custom HTML tag with the following code:

    https://www.youtube.com/iframe_api

    It will push the “youtube” events to the Data Layer. If you’re not sure what variables and trigger should you create, everything is explained in the Cardinal Path’s blog post. All you need to do is to update Cardinal Path’s Custom HTML tag’s code with the one that I’ve posted above.

    The solution isn’t perfect (compared to those that are at the beginning of the post) and it can cause some video flickering but if you are looking for a plan B, this might be it.

    In this case, you should also remember that this solution uses custom triggers and variables (meaning that you’ll need to create Data Layer Variables and Custom Event trigger on your own. The built-in video triggers will not work here.

    P.S. Here’s a GTM recipe (that automatically created triggers, variables, etc.).

     

    Conclusion: what to do when Youtube trigger isn’t working in Google Tag Manager

    So there you have it. 6 ways how you can solve the puzzle when the built-in Youtube trigger isn’t working in Google Tag Manager.  Here are the key takeaways:

    • The default Youtube trigger will properly track YT videos if:
      1. enablejsapi is added to the URL of the embedded Youtube video player and is set to 1 (you can check that by inspecting the iframe of the Youtube video and checking its src attribute).
      2. and one of these conditions is met:
        • Youtube video player is already present on a page when GTM container loads (and that’s why lazy loaded videos are not tracked by default)
        • Youtube Iframe API script is already present when the GTM container loads

    The enablejsapi issue can be solved either by a developer (ask him/her to add this parameter to the src of the iframe) or by enabling Add JavaScript API support to all Youtube videos checkbox in your GTM trigger. However, if the video URL already contains the enablejsapi=0 (means disabled), ask a developer to set it to 1 in the website’s source code.

    As for those other two conditions (where at least one must be met), create a Custom HTML tag that contains the Youtube Iframe API script and fire it before the Youtube trigger is enabled.

    <script src="https://www.youtube.com/iframe_api">

    All pages trigger assigned to that Custom HTML tag should do the trick.

    If these settings do not work (even though they should), consider checking other tips:

    • Take a look at whether your embedded videos are using the privacy-enhanced Youtube mode
    • Try implementing custom Youtube listeners. These solutions are not very elegant (compared to the built-in functionality of GTM) but still might serve as a plan B.
    • Check whether the URL of the embedded YT player does not contain origin=null query parameter. If it does, it should be removed (or set to the domain of the parent page).

    As always, the comments section is at your service. Did I miss anything? Let me know.

    The post Youtube trigger isn’t working in Google Tag Manager? 6 ways to fix it appeared first on Analytics Mania.

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    Data Analytics Challenge for Beginners



    If you are looking for a beginner level data challenge to hone your analytics skills, refer to the link below on Kaggle.com:
    https://www.kaggle.com/t/3081fe2da6ce43d79259c80b7faa10ab

    Machine Learning videos: https://goo.gl/WHHqWP

    This challenge ends Thursday at 6:30pm Eastern time.

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    Episode 7: Data Analytics



    Florian Zettelmeyer, Nancy L. Ertle Professor of Marketing; Director, Program on Data Analytics at Kellogg

    Data analytics fundamentally requires managerial judgment and leadership in order to be successful. Kellogg students learn a working knowledge of data science and how to drive business value with analytics.

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    Big Data Analytics Tutorial | Big Data Analytics for Beginners | Hadoop Tutorial | Edureka



    ( Hadoop Training: https://www.edureka.co/hadoop )
    This Edureka Big Data Analytics Tutorial ( Hadoop Blog series: https://goo.gl/LFesy8 ) will help you to understand the basics of Big Data domain. Learn how to analyze Big Data in this tutorial. Below are the topics covered in this tutorial:

    1) Big Data Introduction
    2) What is Big Data Analytics?
    3) Why Big Data Analytics?
    4) Stages in Big Data Analytics
    5) Big Data Analytics Domains
    6) Big Data Analytics Use Cases

    Subscribe to our channel to get video updates. Hit the subscribe button above.

    Check our complete Hadoop playlist here: https://goo.gl/4OyoTW

    Facebook: https://www.facebook.com/edurekaIN/
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    LinkedIn: https://www.linkedin.com/company/edureka
    Instagram: https://www.instagram.com/edureka_learning/
    #BigDataAnalytics #HadoopTutorial #BigDataTutorial

    How it Works?

    1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work
    2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
    3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

    - - - - - - - - - - - - - -

    About the Course

    Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoopinstructors will help you:

    1. Master the concepts of HDFS and MapReduce framework
    2. Understand Hadoop 2.x Architecture
    3. Setup Hadoop Cluster and write Complex MapReduce programs
    4. Learn data loading techniques using Sqoop and Flume
    5. Perform data analytics using Pig, Hive and YARN
    6. Implement HBase and MapReduce integration
    7. Implement Advanced Usage and Indexing
    8. Schedule jobs using Oozie
    9. Implement best practices for Hadoop development
    10. Work on a real life Project on Big Data Analytics
    11. Understand Spark and its Ecosystem
    12. Learn how to work in RDD in Spark

    - - - - - - - - - - - - - -

    Who should go for this course?

    If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:
    1. Analytics professionals
    2. BI /ETL/DW professionals
    3. Project managers
    4. Testing professionals
    5. Mainframe professionals
    6. Software developers and architects
    7. Recent graduates passionate about building successful career in Big Data

    - - - - - - - - - - - - - -

    Why Learn Hadoop?

    Big Data! A Worldwide Problem?

    According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!

    The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.

    For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

    Customer Review:

    Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! Edureka lets you go back later, when your boss says "I want this ASAP!" ~ This is the killer education app... I've take two courses, and I'm taking two more.”

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