Learn SQL For Data Science
In the realm of data science, SQL is an indispensable tool for managing and analyzing data stored in relational databases. As data scientists work to derive insights from vast datasets, proficiency in SQL becomes crucial. It enables efficient querying, manipulation, and transformation of big data, making it easier to prepare datasets for advanced analysis and machine learning.
SQL's importance in data science cannot be overstated. It allows data professionals to:
- Extract and Analyze Data.
- Clean and Prepare Data.
- Integrate with Analytical Tools like Python, Power BI, Tableau etc.
- Analyst Big Data with Efficiency.
- Collaborate and Share Knowledge.
As data continues to grow in volume and complexity, mastering SQL will not only enhance your data manipulation capabilities but also make you a standout candidate to current or prospective employers in the field of data science.
Curriculum Content
SQL For Data Science
This course begins by exploring data joins in depth (INNER, LEFT, OUTER) and extends on other important joins like the natural, self join, and the Cartesian join. It takes a very practical approach using the PostgreSQL RDMS flavour of SQL with advanced analytical functions. The course progresses with an experiential case study project involving the learner as a Growth Data Scientist for Resaflix, a movies rental company looking to expand and pivot its business model in the age of the internet and digital communications. Students will learn about advanced problem solving approaches as Data Scientists, CTEs and extended subqueries, window functions, and understand how to use modern, serverless data warehouses like BigQuery.
Expert tutors
Tobi Williams
Data Product
Idowu Oselumhe Ilekura
Data Professional At Fidelity Bank And Technical writer
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FAQs
Frequently asked questions
Are the courses online?
Yes the courses are hosted and administered online which gives you the ability to learn at your own time, and pace. In addition, students are supported every weekend by industry mentors via live classes to reinforce the understanding of key concepts.
What can I do with SQL?
SQL is essential for managing and analyzing data stored in relational databases. It allows you to extract and manipulate specific data, update and aggregate data for analysis, create and manage database structures, and combine data from multiple tables to generate comprehensive datasets for in-depth analysis.
What do I need to get started?
To get started with SQL for data science, you need minimal prerequisites. Basic computer skills, a stable internet connection for accessing online learning materials and interactive exercises, and a curiosity to explore and experiment with SQL are all you need to begin your journey and build a strong foundation in SQL for Data Science.
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