CompTIA DataX

Course Description

Overview

The CompTIA DataX course equips learners with the essential skills needed to manage, manipulate, analyze, and interpret data. The curriculum focuses on data management, data visualization, statistical analysis, and the use of various data tools and technologies. The course is suitable for beginners and provides a pathway to more advanced data science studies and certifications.

Course Objectives

• Understand the fundamentals of data and its importance in business decision-making.
• Gain proficiency in data management and manipulation techniques.
• Learn how to visualize data effectively to communicate insights.
• Develop skills in statistical analysis and interpretation.
• Use popular data analysis tools and technologies.
• Apply data science concepts to real-world problems.

Modules and Topics

1. Introduction to Data Science and Analytics

   • What is Data Science?
   • Role of Data in Decision-Making
   • Overview of Data Analysis Process

2. Data Management

   • Data Collection Methods
   • Data Cleaning and Preparation
   • Data Storage and Retrieval
   • Data Governance and Ethics

3. Data Manipulation and Transformation

   • Working with Data in Excel and SQL
   • Using Python for Data Analysis
   • Introduction to Pandas and NumPy
   • Data Wrangling Techniques

4. Data Visualization

   • Principles of Data Visualization
   • Tools for Data Visualization (Tableau, Power BI)
   • Creating Charts and Graphs
   • Storytelling with Data

5. Statistical Analysis

   • Descriptive Statistics
   • Inferential Statistics
   • Probability Distributions
   • Hypothesis Testing

6. Data Tools and Technologies

   • Overview of Data Analysis Tools
   • Introduction to R Programming
   • Using Jupyter Notebooks
   • Introduction to Big Data Technologies (Hadoop, Spark)

7. Practical Applications

   • Case Studies and Real-World Applications
   • Hands-On Projects and Assignments
   • Problem-Solving with Data

8. Capstone Project

   • End-to-End Data Analysis Project
   • Data Collection and Cleaning
   • Data Analysis and Visualization
   • Presentation of Findings

Learning Outcomes

By the end of the course, students will be able to:

• Manage and manipulate data using various tools and techniques.
• Perform statistical analysis to draw meaningful insights.
• Create effective data visualizations to communicate findings.
• Apply data analysis skills to solve real-world problems.
• Demonstrate a foundational understanding of data science principles.

Target Audience

• Aspiring data analysts and data scientists.
• IT professionals looking to expand their skill set in data analysis.
• Business professionals who want to leverage data for decision-making.
• Students and graduates seeking a career in data science.

Prerequisites

• Basic understanding of computer operations.
• Familiarity with fundamental mathematical concepts.
• No prior programming or data science experience required.

Course Format

• Delivery Method: Online or in-person classes, including lectures, hands-on labs, and projects.
• Assessment: Quizzes, assignments, projects, and a final capstone project.

This comprehensive course structure ensures that participants gain a solid foundation in data science, preparing them for more advanced studies or entry-level roles in the data science field.