Data Analytics Using Python and SQL
This course provides a strong foundation in Data Analytics, covering key concepts and practical application of analytics techniques to real-world business challenges.
COURSE OUTCOMES
At the end of the course, students should be able to
- Establish your learning environment for mastering SQL and Python essentials for data analyzing.
- Create robust data engineering pipelines with Spark, using Python as the programming
- You'll learn popular data analysis models and tools, empowering you to tackle diverse analytical tasks effectively.
OBJECTIVES OF THE COURSE:
- Master sorting and filtering commands in SQL to effectively organize and extract data.
- Gain proficiency in essential Excel data tools such as Sorting, Filtering, Data Validation, and Data Importing.
- Gain a deep understanding of data collection and preprocessing techniques essential for tackling Linear Regression problems in Machine Learning.