Certified Analytics Professional Course Overview

To ensure that learners are adequately prepared and can fully benefit from the Certified Analytics Professional course, the following minimum prerequisites are recommended:

• Basic understanding of mathematics and statistics, including familiarity with concepts such as mean, median, standard deviation, and basic probability.
• Foundational knowledge of data handling and manipulation, particularly using spreadsheets or databases.
• Experience with any programming language is beneficial, although not strictly required. Familiarity with Python or R would be advantageous, as they are commonly used in analytics.
• An awareness of business processes and strategies, which will help in understanding the application of analytics within various business contexts.
• Curiosity and a willingness to learn about new analytical techniques and tools.
• Good problem-solving skills and the ability to think critically to analyze data and interpret results.

No prior expertise in advanced analytics or machine learning is required to begin this course. It is designed to build up from foundational concepts to more complex analytical techniques. The course will guide learners through the necessary steps to develop their skills progressively.

Target Audience for Certified Analytics Professional

The Certified Analytics Professional course provides comprehensive training in data analytics, ideal for professionals seeking to enhance their skills in this field.

• Data Scientists
• Business Analysts
• Data Analysts
• Analytics Managers
• IT Professionals interested in Data Science
• Marketing Analysts
• Operations Managers
• Supply Chain Analysts
• Financial Analysts
• Health Data Analysts
• HR Analysts
• Research Scientists
• Statisticians
• Machine Learning Engineers
• BI Developers/Consultants
• Project Managers in Analytics Projects
• Data Engineers
• Data Governance Specialists
• Risk Analysts
• Consultants in Data Analytics
• Graduates aiming to start a career in analytics
• Professionals seeking to transition into analytics roles
• Executives and Senior Managers looking to understand analytics to make data-driven decisions

Learning Objectives - What you will Learn in this Certified Analytics Professional?

Introduction to the Certified Analytics Professional Course Learning Outcomes

Gain in-depth expertise in data analytics with a comprehensive course covering data science, machine learning, big data, and business intelligence, designed to equip professionals with the skills necessary for data-driven decision-making.

Key Learning Objectives and Outcomes

• Understand the core principles of data science and analytics, including various data analysis techniques and data visualization tools.
• Acquire hands-on skills in exploratory and predictive data analysis, employing statistical and machine learning algorithms for real-world applications.
• Learn about data collection, cleaning, pre-processing, and preparation techniques to ensure high-quality and actionable insights.
• Master the use of statistical modeling and machine learning to develop, validate, and interpret predictive models that inform strategic decisions.
• Gain proficiency in advanced machine learning concepts such as neural networks, deep learning, reinforcement learning, and recommender systems.
• Develop the ability to design and implement effective data visualizations and dashboards for business intelligence and analytics reporting.
• Understand the architecture, design, and management of data warehousing, as well as the role of data warehousing in business intelligence.
• Grasp the fundamentals of big data analytics, including storage, processing, and applying machine learning algorithms to large datasets.
• Learn best practices for data governance, security, and privacy to ensure ethical and compliant handling of data.
• Acquire project management skills specific to analytics projects, including planning, scheduling, risk management, and agile methodologies.