Data Analytics
An IT specialist in Data Analytics is a professional who uses advanced technical and analytical skills to collect, process, and analyze data to support informed decision-making and drive business outcomes. They are responsible for designing, implementing, and maintaining data analytics systems and tools, as well as creating and interpreting data reports, dashboards, and visualizations. Additionally, they may also help organizations identify areas for improvement by analyzing data trends and patterns, and develop data-driven strategies to support business goals. To be effective in this role, an IT specialist in Data Analytics must have strong technical skills in data management and analytics, as well as knowledge of programming languages, databases, and data visualization tools.
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Course description
Empowering smarter decisions with data analytics.........
An IT specialist in Data Analytics is a professional who uses advanced technical and analytical skills to collect, process, and analyze data to support informed decision-making and drive business outcomes. They are responsible for designing, implementing, and maintaining data analytics systems and tools, as well as creating and interpreting data reports, dashboards, and visualizations. Additionally, they may also help organizations identify areas for improvement by analyzing data trends and patterns, and develop data-driven strategies to support business goals. To be effective in this role, an IT specialist in Data Analytics must have strong technical skills in data management and analytics, as well as knowledge of programming languages, databases, and data visualization tools.
Candidates for this exam are seeking to prove introductory knowledge of how tornresponsibly manipulate, analyze, and communicate findings of data analysis.rnCandidates should have at least 150 hours of instruction or hands-on experience with datarnmanipulation, analysis, visualization, and communication. They should be familiar withrngeneral data concepts, data-related laws, and responsible analytics practices.
👉To be successful on the test, the candidate is also expected to have the following prerequisite knowledge and skills:👈
✔ 8th grade reading skills
✔ Critical thinking and problem-solving skills
✔ Digital literacy skills, including the ability to research, create content, and solvernproblems using technology
✔ Algebra
👉EXAM OBJECTIVES :
🟢 Data Basics
- Define the concept of data
- Describe basic data variable types
- Describe basic structures used in data analytics
- Describe data categories
🟢 Describe data categories
- Import, store, and export data
- Clean data
- Aggregate data
🟢 Data Analysis
- Describe and differentiate between types of data analysis
- Describe and differentiate between data aggregation andrninterpretation metrics
- Describe and differentiate between exploratory data analysisrnmethods
- Evaluate and explain the results of data analyses
- Define and describe the role of artificial intelligence in data analysis
🟢 Data Visualization and Communication
- Report data
- Create visualizations from data
- Derive conclusions from a data visualization
🟢 Responsible Analytics Practices
- Describe data privacy laws and best practices
- Describe data privacy laws and best practices
- Given a scenario, describe types of bias that affect collection andrninterpretation of data
👉Outcome of the IIT SPECIALIST Data Analytics Certification Course :
🟢 Understanding of the Data Analytics Process: Students will have a deep understanding of the various stages of the data analytics process, including data collection, preparation, analysis, and presentation.
🟢 Technical Skills: Students will have the technical skills to collect, clean, and prepare data for analysis, as well as the ability to use programming languages such as Python and R for data analytics. They will also be proficient in using data visualization tools and machine learning libraries.
🟢 Analytical and Problem-Solving Skills: Students will have developed their analytical and problem-solving skills, enabling them to use data analytics to identify patterns, draw insights, and make informed decisions.
🟢 Communication and Presentation Skills: Students will have honed their communication and presentation skills, allowing them to effectively communicate their findings and insights to stakeholders.
🟢 Real-World Experience: Students will have gained practical experience in data analytics by working on real-world projects and case studies, preparing them for careers in the field.
🟢 Career Opportunities: Students will have improved their marketability and will be well-prepared for careers in data analytics, including positions such as data analyst, data scientist, business intelligence analyst, and data engineer.
🟢 Certification: Students will have earned a recognized certification in IT specialist in Data Analytics, demonstrating their expertise and knowledge in the field to potential employers and stakeholders.
👉Expected Job Roles of IT SPECIALIST Data Analytics Certification
Upon completion of an IT Specialist in Data Analytics certification, individuals can pursue the following job roles:
🟢 Data Analyst: A data analyst collects, analyzes, and interprets data to support decision-making and drive business growth. They work with various stakeholders to identify business problems, collect and analyze data, and present insights and recommendations.
🟢 Data Scientist: A data scientist is responsible for developing and implementing advanced analytical models to support decision-making and drive business growth. They collect and analyze large datasets, build predictive models, and communicate insights and recommendations to stakeholders.
🟢 Business Intelligence Analyst: A business intelligence analyst is responsible for the design, implementation, and maintenance of data warehousing and business intelligence systems. They work with stakeholders to define business requirements, design data models, and develop reports and dashboards.
🟢 Data Engineer: A data engineer is responsible for the design, implementation, and maintenance of data systems and pipelines. They work with stakeholders to collect, process, and store large datasets, and develop data architectures that support data analytics and reporting.
🟢 Machine Learning Engineer: A machine learning engineer is responsible for developing and implementing machine learning models to support decision-making and drive business growth. They collect and prepare data, build and evaluate machine learning models, and communicate insights and recommendations to stakeholders.
👉Eligibility:
✔ Pursuing final year BE/BTech/MCA in any discipline Or
✔ BCA/ B.Sc. IT/ B.Sc. Electronics Or
✔ Diploma in Electronics/ IT/ Electrical with 1 Years of Experience in IT Sector
👉Learning materials for IT Specialist Data Analytics
Preparing your students for certification is a big responsibility, so let Coursocity make your job easier and more effective with specially-selected course materials and practice tests.
LearnKey
LearnKey video courseware enhances the learning experience and increases certification exam success. It provides self-paced on-demand video learning material for Certiport's IT Specialist program. These expert learning solutions are easy to use, interactive and help prepare students for certification success.
- Video-based e-learning courseware
- Interactive labs
- Prescriptive study guides
👉Practice tests for IT Specialist Data Analytics
CertPREP Practice Tests, powered by GMetrix
These performance-based assessment and test preparation tools help individuals achieve certification credentials. Many of your students will be anxious to assess their knowledge of applications prior to taking the certification exams. Additionally, we recognize the need for educators to properly assess an individual’s knowledge. Coursocity provides CertPREP Practice Tests that are powered by GMetrix. These tests, with included reporting and insight features, ensure your students are adequately prepared to take their certification exam.
CertPREP Practice Tests are customizable
CertPREP Practice Tests are customizable, allowing you to create a highly-effective environment conducive to student-centered learning. CertPREP Practice Tests offer two different modes:
Testing mode:
- Students experience what the certification exams will be like
- Timed practice tests present scenarios to perform just like the actual certification exam
Training mode:
- Students work at their own pace as they receive feedback and step-by-step instructions for each question
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