Digital Marketing

Data Analytics Foundation Course
The Data Analytics Foundation Course is designed for beginners who want to understand how data is collected, processed, analyzed, and used to drive decision-making across industries. This course introduces students to the essential concepts of data analytics, including data types, data cleaning, exploratory data analysis (EDA), visualization, and basic statistical techniques. Students will work with popular tools such as Excel, SQL, and Python to gain practical experience analyzing real-world datasets. By the end of the course, learners will be able to interpret data insights and build a foundation for more advanced analytics or data science learning paths.

Course Objectives

Upon completion of this course, students will be able to:

• Understand the key concepts and workflow of data analytics.
• Identify major roles in the data ecosystem, including data analyst, business analyst, and data engineer.
• Collect, clean, and prepare data for analysis using industry-standard tools.
• Perform exploratory data analysis (EDA) and derive meaningful insights.
• Use Excel and SQL for querying, filtering, and summarizing datasets.
• Create visualizations and dashboards using tools such as Power BI or Tableau.
• Apply basic statistics to support data-driven decisions.
• Build a personalized learning pathway for advancing into data analytics, BI, or data science.