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  • EXIN Data Analytics Foundation

EXIN Data Analytics Foundation

EXIN Data Analytics Foundation
  • Overview

  • Outcome

  • Target Group

Globalization and technical facilitation have recently led to an ever-increasing amount of data. Organizations of all sizes see the benefit of systematically gathering and using data to inform business decisions. The vital role of data is reflected by the increasing number of functions that are related to it such as data analysts, data scientists, data engineers and data managers. Start studying today and get recognized for one of the most asked-for skills in the digital job market.

Data analytics entails storing structured and unstructured data and transforming data by cleaning it. Data analytics also include aggregating data and drawing insights from it. Most business-oriented roles include requesting or creating reports. Subsequently, it is crucial to understand the basic principles of how data is turned into insights for anyone who is systematically processing information or wants to submit efficient requests for reports to inform the decision-making process. Obtaining EXIN’s data analytics certification will equip you to turn unstructured data from sources such as Excel, python, or Power BI into structured insights that will solve business challenges.

 

After you are EXIN Data Analytics certified. You will understand the concepts relating to generating a research question, collecting, cleaning, and organizing data. You will also learn statistical methods, data mining techniques, and algorithms to help you interpret your data. Finally, you will go on to be able to generate insights for your organization by illustrating your findings in plots and graphs to present your business case with solidly backed insights.

  • Data/information analysts 
  • Business intelligence (BI) analysts 
  • Data administrators/(business) information managers 
  • Data/analytics managers 
  • Data scientists 

Course Outline

  1. Turning data into insights 
    1. Concepts and the process 
    2. Business intelligence (BI) 
  2. Collecting, organizing, managing 
    1. Data collection 
    2. Storing data 
    3. Variables 
  3. Cleaning 
    1. Data scrubbing 
  4. Analyzing 
    1. Statistics 
    2. Data mining 
    3. Machine learning 
    4. Algorithms 
  5. Visualizing 
    1. Explanatory and exploratory 
    2. Charts and plots 
    3. Design and tools

Course Info

  • Language:English
  • Note:

    Exam: 1 hour ;  40  Multiple Choice Questions ; passing mark 65%

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