What you’ll learn
- The basic principles of data analysis and its importance in decision-making.
- The roles and responsibilities of a data analyst.
- Understanding the concept of ETL (Extract, Transform, Load) processes.
- How to extract data from different data sources.
- Techniques to clean and transform raw data for analysis.
- How to load transformed data into an appropriate data storage system.
- Best practices for ETL processes.
- SQL fundamentals for retrieving and manipulating data in relational databases.
- Advanced SQL concepts, including subqueries and joins.
- Utilizing SQL clauses such as Between, IN, LIKE, and UNION.
- Python basics, including data types, variables, and control flow.
- Data manipulation in Python using Pandas.
- Basic data visualization techniques in Python using libraries like Matplotlib and Seaborn.
- Basic data manipulation and analysis techniques in R.
- Understanding the concept of Power BI and its role in data analysis.
- Transforming and shaping data to fit the needs of your analysis using Power BI.
How to Enroll Become a Data Analyst – (ETL, SQL, Power BI, Python,R ) course?
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