Data Analytics Fundamentals

This comprehensive course introduces the fundamental concepts and techniques of Data Analytics. Designed for beginners, this course covers essential topics in data manipulation, visualization, and basic analysis using real-world examples. By the end of this course, participants will have a solid foundation in data analytics techniques and will be able to apply them in various scenarios.

Who Should Attend:

This course is ideal for students and professionals with little to no prior experience in data analytics who wish to gain a strong understanding of the field.

Prerequisites:

No prior experience in data analytics is required. Basic computer literacy is recommended.

Data Analytics Fundamentals Course Objectives:

• Understand the basics of data analytics and its applications.
• Learn data preprocessing and cleaning techniques.
• Explore data visualization and interpretation.
• Gain proficiency in using popular data analytics tools.
• Apply fundamental statistical analysis to draw insights from data.

Data Analytics Fundamentals Course Material:

Comprehensive Student Guide

Data Analytics Fundamentals Key Topics:

• Introduction to Data Analytics
• Data Collection and Preprocessing
• Exploratory Data Analysis
• Introduction to Data Visualization
• Data Visualization Tools
• Basic Statistical Concepts
• Introduction to Python for Data Analytics
• Data Manipulation with Python
• Data Visualization with Python
• Introduction to Excel for Data Analytics
• Data Analysis in Excel
• Introduction to SQL for Data Analytics
• Data Querying with SQL
• Introduction to Data Interpretation
• Case Studies and Practical Applications

Data Analytics Fundamentals Certification:

Participants who successfully attended the course will receive a Data Analytics Fundamentals Certificate.

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