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IT Specialist Data Analytics
Duration: 6 Weeks
The IT Specialist Data Analytics certification focuses on foundational skills in data analysis, equipping individuals with the knowledge and abilities to handle, analyze, and visualize data effectively. This certification is ideal for those looking to enter the field of data analytics or enhance their skills in data management and interpretation.
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Program Objectives & Learning Outcomes

At the end of this course, participants will:

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Understand the key concepts and importance of data analytics in various industries.

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Learn about the data analytics lifecycle, including data collection, cleaning, analysis, and presentation.

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Develop competencies in gathering data from various sources, including databases, spreadsheets, and online repositories.

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Learn techniques for data manipulation, including filtering, sorting, and aggregating data.

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Use data manipulation tools and languages, such as SQL and Excel.

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Manipulate and analyze data using basic statistical and exploratory techniques.

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Present and communicate data analysis findings clearly and responsibly to stakeholders.

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Understand and apply ethical considerations in handling and analyzing data.

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Use key data analytics tools and software to perform data manipulation, analysis, and visualization.

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Prepare for further study or careers in data analytics, with a solid foundation in the essential skills and knowledge required in the field.

Program Content

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Module 1: Data Basics

  1. Define the concept of data
  2. Describe basic data variable types
  3. Describe basic structures used in data analytics
  4. Describe data categories
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Module 2: Data Manipulation

  1. Import, store, and export data
  2. Clean data
  3. Organize data
  4. Aggregate data
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Module 3: Data Analysis

  1. Describe and differentiate between types of data analysis
  2. Describe and differentiate between data aggregation and interpretation metrics
  3. Describe and differentiate between exploratory data analysis methods
  4. Evaluate and explain the results of data analyses
  5. Define and describe the role of artificial intelligence in data analysis
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Module 4: Data Visualization and Communication

  1. Report data
  2. Create visualizations from data
  3. Derive conclusions from a data visualization
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Module 5: Responsible Analytics Practices

  1. Describe data privacy laws and best practices
  2. Describe best practices for responsible data handling

Who should attend?

Aspiring data analysts and data scientists, IT professionals seeking to develop data analytics skills, Students and educators in data science or related fields, Business professionals interested in using data for decision-making.

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