Data analyst course checklist

Understand the role of a data analyst in an organization

Familiarize yourself with basic data analysis terminology

Learn about different types of data and data sources

Explore the different data analysis tools and software commonly used in the industry

Understand the importance of data quality and how to ensure data integrity

Learn about the ethical considerations and responsibilities of a data analyst when handling sensitive data

Familiarize yourself with basic statistical concepts and their relevance in data analysis

Understand the difference between descriptive and inferential statistics and when to use each

Master basic statistical concepts such as mean, median, and mode

Understand probability distributions and hypothesis testing

Learn how to use statistical software such as R or Python for analysis

Explore different types of data visualization techniques

Learn how to create effective visualizations using tools like Tableau or Power BI

Understand the principles of data visualization and how to choose the right type for your data

Learn how to clean and preprocess raw data for analysis

Understand common data cleaning techniques such as handling missing values and outliers

Familiarize yourself with data transformation methods like normalizing and scaling

Gain an understanding of machine learning algorithms and techniques

Learn how to build and evaluate machine learning models

Explore advanced topics such as deep learning and natural language processing

Work on real-world data analysis projects to apply your skills

Collaborate with peers to solve complex data analysis problems

Present your findings and insights in a clear and concise manner