The Data Analyst Course: Complete Data Analyst Bootcamp
Participants will gain hands-on experience in data collection, cleaning, exploration, and visualization, while also learning fundamental data analysis techniques.
Data Science & Analytics
4 Hours
Description
In today's data-driven world, data analysis is a critical skill for making informed decisions. This course is designed to equip participants with the knowledge and tools required to start a career as a data analyst. Through a combination of theory and practical exercises, you'll learn how to collect, clean, and explore data, visualize insights, and draw meaningful conclusions.
Course Objectives
Introduce participants to the role of a data analyst and the data analysis process.
Teach data collection and data cleaning techniques.
Explore data using descriptive statistics, distributions, and correlations.
Master data visualization tools like Matplotlib and Seaborn.
Familiarize participants with data analysis methods, including hypothesis testing, regression, and classification.
Enable participants to draw conclusions and make data-driven recommendations.
Target Audience
Introduce participants to the role of a data analyst and the data analysis process.
Teach data collection and data cleaning techniques.
Explore data using descriptive statistics, distributions, and correlations.
Master data visualization tools like Matplotlib and Seaborn.
Familiarize participants with data analysis methods, including hypothesis testing, regression, and classification.
Enable participants to draw conclusions and make data-driven recommendations.
Basic Understanding
No prior experience in data analysis is required, but having a basic understanding of mathematics and statistics will be beneficial. Participants should have a working knowledge of computer operations and be comfortable using a computer.
Course Content
No sessions available.
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