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.
Prepare, clean, and explore data to extract analytical 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.

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.
Overview on exploratory data analysis (EDA) to identify trends and patterns.
Key activities used for managing data quality and addressing biases.
Importance of using visualization tools to enhance data understanding.
How to prepare datasets for advanced analytics.

Unit 3:

Statistical and Predictive Modeling:

Fundamentals of statistical analysis and hypothesis testing.
Frameworks for building and interpreting regression and classification models.
Introduction to machine learning algorithms.
Tools used for evaluating model performance and accuracy.

Unit 4:

Communicating Analytics Results:

Methods for presenting analytical findings to stakeholders.
The role of storytelling with data in enhancing decision-making.
Methods of designing impactful dashboards and reports.
Importance of translating technical insights into actionable business strategies.
The significance of leveraging visualization tools for clarity and engagement.

Unit 5:

Certification Preparation and Exam Strategies:

Overview of the aCAP certification process and exam structure.
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.

Associate Certified Analytics Professional aCAP