In today's data-driven business landscape, analytics plays a pivotal role. Organizations collect vast amounts of data on customers, products, employees, and services, seeking to extract valuable insights to boost efficiency, effectiveness, and profitability. Data analysts are the experts who bridge the gap between raw data and actionable intelligence. They know how to source, refine, and transform data to meet organizational needs. By applying statistical and machine learning techniques, they uncover hidden patterns and trends. Finally, they craft compelling visualizations to present findings to key stakeholders, empowering informed decision-making.

As the demand for data-driven insights continues to grow, the role of data analysts has become increasingly crucial. They work closely with stakeholders to identify business problems, develop solutions, and implement data-driven strategies. With expertise in tools like SQL, Python, and Tableau, data analysts are equipped to tackle complex data challenges and drive business outcomes. By leveraging their skills and knowledge, organizations can gain a competitive edge, optimize operations, and drive innovation.

 The Star Data Essentials certification is designed to provide a comprehensive introduction to the fundamentals of data, covering the basics of data analysis, management, and visualization. Whether you're looking to become a data analyst, data scientist, or simply want to gain a better understanding of data, this certification will provide you with the essential knowledge and skills to get started.

Audience: Beginners or professionals in the initial phases of their data analytics careers, focusing on the competencies required for developing and advocating for data-driven business decision-making processes. Familiarity with IT Essentials, mathematics, and statistics can be an additional advantages

Course Objective:

In this course, you will learn about:

• Data Concepts and Environments
• Role of Data, and Algorithm
• Data Mining
• Data Analysis
• Data Visualization
• Data Governance, Quality, and Controls

Course Outcome

After completing this course, you will be able to recognize and/or demonstrate:

• Outline the core principles of data schemas and dimensions.
• Undertake a comparative analysis of distinct data types.
• Differentiate common data structures and file formats
• Explain data acquisition concepts
• Cleansing and profiling datasets.
• Execute data manipulation techniques
• Apply the appropriate statistical methods
• Identify common data analytics tools
• Use appropriate design for reports and dashboards.
• Apply the appropriate type of visualization
• Apply data quality control concepts
• Master data management concepts

Course Outline:

1. Introduction to Data Analysis.
2. Understanding Data.
3. Exploring Data Bases
4. Data Acquisition Concepts.
5. Working with Data.
6. Data Quality.
7. Data Manipulation Techniques
8. Data Analysis and Statistics
9. Fundamental of Statistics.
10. Analysis Techniques
11. Voice, and NLP with AI
12. Data Pre-processing
13. Data Analytics Tools
14. Data Visualization
15. Reports and Dashboard
16. Data Governance

Exam Details