Associate Certified Analytics Professional aCAP

Overview:

Introduction:

This program is designed to prepare participants for the certification exam only.

The Associate Certified Analytics Professional (aCAP) is a globally recognized credential that establishes a strong foundation in analytics, enabling professionals to begin their journey in the dynamic field of data-driven decision-making. This training program provides participants with the essential knowledge and skills required to analyze data, solve business challenges, and effectively communicate insights. Through it, participants will gain the competencies needed to excel in analytics roles.

Program Objectives:

By the end of this program, participants will be able to:

• Explore the fundamental principles and methodologies of analytics.

• Perform data preparation, cleaning, and exploration to derive insights.

• Utilize statistical and predictive modeling techniques to solve business problems.

• Develop clear and actionable recommendations based on analytical findings.

• Prepare for the aCAP certification exam.

Targeted Audience:

• Aspiring analytics professionals.

• Recent graduates in data-related fields.

• Professionals transitioning into analytics roles.

• Employees seeking foundational analytics knowledge.

• Professionals preparing for the aCAP certification exam.

Program Outline:

Unit 1:

Introduction to Analytics:

• Overview of analytics and its significance in decision-making.

• Key concepts in descriptive, predictive, and prescriptive analytics.

• The role of data in driving organizational success.

• Ethical considerations in analytics practices.

• Introduction to analytics tools and technologies.

Unit 2:

Data Preparation and Exploration:

• Techniques for cleaning and organizing raw data.

• Exploratory data analysis (EDA) to identify trends and patterns.

• Managing data quality and addressing biases.

• Using visualization tools to enhance data understanding.

• Preparing datasets for advanced analytics.

Unit 3:

Statistical and Predictive Modeling:

• Fundamentals of statistical analysis and hypothesis testing.

• Building and interpreting regression and classification models.

• Introduction to machine learning algorithms.

• Evaluating model performance and accuracy.

• Applying predictive models to real-world scenarios.

Unit 4:

Communicating Analytics Results:

• Methods for presenting analytical findings to stakeholders.

• Storytelling with data to enhance decision-making.

• Designing impactful dashboards and reports.

• Translating technical insights into actionable business strategies.

• Leveraging visualization tools for clarity and engagement.

Unit 5:

Certification Preparation and Exam Strategies:

• Overview of the aCAP certification process and exam structure.

• Key areas of the analytics body of knowledge (ABOK).

• Reviewing key topics and concepts covered in the exam.

• Sample exam questions and their potential answers.

• Resources and materials for further study.

Note: This program is designed to prepare participants for the certification exam only.