What you’ll learn
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The basic principles of data analysis and its importance in decision-making.
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The roles and responsibilities of a data analyst.
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Understanding the concept of ETL (Extract, Transform, Load) processes.
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How to extract data from different data sources.
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Techniques to clean and transform raw data for analysis.
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How to load transformed data into an appropriate data storage system.
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Best practices for ETL processes.
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SQL fundamentals for retrieving and manipulating data in relational databases.
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Advanced SQL concepts, including subqueries and joins.
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Utilizing SQL clauses such as Between, IN, LIKE, and UNION.
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Python basics, including data types, variables, and control flow.
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Data manipulation in Python using Pandas.
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Basic data visualization techniques in Python using libraries like Matplotlib and Seaborn.
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Basic data manipulation and analysis techniques in R.
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Understanding the concept of Power BI and its role in data analysis.
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Transforming and shaping data to fit the needs of your analysis using Power BI.
Deal Score-1
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