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Data Analytics Foundation Virtual
The Data Analytics Foundation course builds a foundation level understanding of the concepts relating to generating a research question, collecting, cleaning, and organizing data. The statistical methods, data mining techniques, and algorithms explained in this certification course help learners interpret data and generate insights for their organization by illustrating the findings in plots and graphs to present each business case with solidly backed insights.
The EXIN Data Analytics Foundation certification helps professionals understand the basic concepts of data analytics, the activities in the data analysis process, and the different methods used to analyze data. Candidates who pass the exam also know how outputs from the analysis process can be visualized in charts, graphs, and plots.
The two-day virtual classroom course serves as an introduction to the essential concepts and practices of data analytics. Learners will explore the data analytics lifecycle, including data collection, cleaning, analysis, and visualization, while gaining an understanding of key statistical methods, data mining, and introductory machine learning concepts. The course also highlights data governance, compliance, and best practices for communicating insights effectively through visualizations.
The Data Analytics Foundation course is a registered trademark of EXIN. All rights reserved.
• Turning Data into Insights: Understand the fundamental concepts of data analytics, learn how to outline the process of data analysis, and grasp the risks involved in data analytics.
• Collecting, Organizing, and Managing Data: Learn how to collect and source public data, manage compliance with data laws, and understand the importance of different types of data. You’ll also explore the utility of distributed file systems and the advantages of cloud solutions.
• Cleaning Data: Discover the methods and techniques for data scrubbing and understand the key considerations for data retention.
• Analyzing Data: Distinguish between descriptive and inferential statistics, delve into data mining and machine learning, including natural language processing (NLP), and learn how to utilize various data algorithms.
• Visualizing Data: Get hands-on with data visualization techniques, explore different types of charts, plots, and heatmaps, and appreciate the role of aesthetic design in data visualization.
• Turning Data into Insights: Understand the fundamental concepts of data analytics, learn how to outline the process of data analysis, and grasp the risks involved in data analytics.
• Collecting, Organizing, and Managing Data: Learn how to collect and source public data, manage compliance with data laws, and understand the importance of different types of data. You’ll also explore the utility of distributed file systems and the advantages of cloud solutions.
• Cleaning Data: Discover the methods and techniques for data scrubbing and understand the key considerations for data retention.
• Analyzing Data: Distinguish between descriptive and inferential statistics, delve into data mining and machine learning, including natural language processing (NLP), and learn how to utilize various data algorithms.
• Visualizing Data: Get hands-on with data visualization techniques, explore different types of charts, plots, and heatmaps, and appreciate the role of aesthetic design in data visualization.
Data Analytics Foundation Virtual Classroom
This 2-day virtual Data Analytics Foundation course introduces participants to the essential concepts and practices of data analytics.
Benefits of Virtual Classroom training
- Access to our expert trainer
- Learn from home or anywhere with internet access
- Save money on training and expenses
- The same high quality as our classroom training
Exam Information:
Exam duration: 60 minutes
Exam format: closed book, multiple-choice
Exam delivery: online, webcam proctored.
Pass mark: 65% (26/40 questions)
The exam voucher is provided at the start of your course. With this exam voucher, you can log in to the exam institute and take the exam online (on your laptop with a webcam) at your desired time and location.
There are no mandatory prerequisites.
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Overview
• Turning Data into Insights: Understand the fundamental concepts of data analytics, learn how to outline the process of data analysis, and grasp the risks involved in data analytics.
• Collecting, Organizing, and Managing Data: Learn how to collect and source public data, manage compliance with data laws, and understand the importance of different types of data. You’ll also explore the utility of distributed file systems and the advantages of cloud solutions.
• Cleaning Data: Discover the methods and techniques for data scrubbing and understand the key considerations for data retention.
• Analyzing Data: Distinguish between descriptive and inferential statistics, delve into data mining and machine learning, including natural language processing (NLP), and learn how to utilize various data algorithms.
• Visualizing Data: Get hands-on with data visualization techniques, explore different types of charts, plots, and heatmaps, and appreciate the role of aesthetic design in data visualization. -
Learning outcomes
• Turning Data into Insights: Understand the fundamental concepts of data analytics, learn how to outline the process of data analysis, and grasp the risks involved in data analytics.
• Collecting, Organizing, and Managing Data: Learn how to collect and source public data, manage compliance with data laws, and understand the importance of different types of data. You’ll also explore the utility of distributed file systems and the advantages of cloud solutions.
• Cleaning Data: Discover the methods and techniques for data scrubbing and understand the key considerations for data retention.
• Analyzing Data: Distinguish between descriptive and inferential statistics, delve into data mining and machine learning, including natural language processing (NLP), and learn how to utilize various data algorithms.
• Visualizing Data: Get hands-on with data visualization techniques, explore different types of charts, plots, and heatmaps, and appreciate the role of aesthetic design in data visualization. -
Course outlines
Data Analytics Foundation Virtual Classroom
This 2-day virtual Data Analytics Foundation course introduces participants to the essential concepts and practices of data analytics.
Benefits of Virtual Classroom training
- Access to our expert trainer
- Learn from home or anywhere with internet access
- Save money on training and expenses
- The same high quality as our classroom training
Exam Information:
Exam duration: 60 minutes
Exam format: closed book, multiple-choice
Exam delivery: online, webcam proctored.
Pass mark: 65% (26/40 questions)The exam voucher is provided at the start of your course. With this exam voucher, you can log in to the exam institute and take the exam online (on your laptop with a webcam) at your desired time and location.
-
Prequisites
There are no mandatory prerequisites.