Data Analytics

Data Analytics

The Data Analytics exam evaluates candidates' proficiency in analyzing and interpreting data to derive insights and make data-driven decisions. Data analytics involves the use of statistical techniques, programming languages, and data visualization tools to extract meaningful patterns and trends from large datasets. This exam covers essential principles, methods, and tools related to data analytics, including data preprocessing, exploratory data analysis, statistical modeling, and data visualization.

Who should take the exam?

• Data Analysts: Professionals working in data analysis roles, seeking to validate their skills and knowledge in data analytics techniques and methodologies.
• Business Analysts: Analysts and consultants interested in leveraging data analytics to drive business insights and decision-making.
• Data Scientists: Individuals involved in analyzing and modeling data to extract actionable insights and solve complex business problems.
• Researchers and Academics: Researchers, scholars, and students in fields such as social sciences, economics, and public health interested in applying data analytics techniques in their research.
• IT Professionals: IT professionals interested in expanding their skill set to include data analytics, including database administrators, software engineers, and IT consultants.

Course Outline

The Data Analytics exam covers the following topics :-

• Module 1: Introduction to Data Analytics
• Module 2: Understanding Data Preprocessing and Cleaning
• Module 3: Understanding Exploratory Data Analysis (EDA)
• Module 4: Understanding Statistical Modeling
• Module 5: Understanding Data Visualization and Dashboarding
• Module 6: Understanding Advanced Analytics Techniques
• Module 7: Understanding Data Analytics in Practice
• Module 8: Understanding Data Analytics Tools and Technologies
• Module 9: Understanding Data Analytics Project Management
• Module 10: Understanding Data Analytics Certification Exam Preparation