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Data Science with Python Programming & SQL Course @ Edinburgh

Data Science with Python Programming & SQL Course @ Edinburgh

10月8
10月8日(木) · 10:00 – 13:00
21 Calder Rd21 Calder Road, Edinburgh, EH11 3PF
🗣️英語
Coで£0
10月8
10月8日(木) · 10:00 – 13:00
21 Calder Rd21 Calder Road, Edinburgh, EH11 3PF
🗣️英語
Coで£0

*Please note that you must be a resident in Scotland to join this course and use SAAS part-time funding. More information on this is below.*

IT Professional Training is offering free (fully funded by SAAS) Data Science with Python Programming & SQL Course @ Edinburgh. Students have the option of attending this tutor-led course in the classroom in Edinburgh or via our virtual learning classroom from home.

Course Schedule: Start Date: Thursday 8th October 2026 Day: Every Thursday Duration: 16 weeks Time : 10:00am to 1:00pm Modes of learning : Edinburgh centre or virtually from home. We still have six spaces on the course.

Introduction:

The course on Data Science with Python and SQL is essential in today’s data-driven world, as it equips individuals with the key skills to analyse, interpret, and extract insights from large datasets. Python, with its powerful libraries such as Pandas and NumPy enables efficient data manipulation, statistical analysis, while SQL provides the foundation for managing, querying, and extracting data from relational databases. This combination not only allows students to handle real-world data but also helps them make data-driven decisions, solve complex problems, and automate processes in fields like business, finance, healthcare, and technology. Mastering both tools opens doors to a wide range of career opportunities and is fundamental for anyone looking to succeed in the rapidly evolving tech landscape.

Who are Data Analysts?

Data analysts are responsible for the collection, preparation, and analysis of large-scale datasets. Organisations of all sizes continuously generate and accumulate data in various forms, such as customer feedback, financial transactions, logistics information, and market research. Utilising programming languages like Python and querying tools such as SQL, data analysts extract actionable insights from this data. Their work supports strategic decision-making in areas such as optimising customer experience, setting pricing strategies for new products, and reducing transportation costs. Core responsibilities include data management, data modelling, and the creation of analytical reports.

What Does the Role of Data Analysis Entail in Relation to Python Programming and SQL?

The role of a data analyst involves extracting meaningful insights from structured and unstructured data to support informed business decisions. Proficiency in Python and SQL is fundamental to this process. Python is widely used for data cleaning, statistical analysis, and visualisation, while SQL is essential for querying and managing relational databases efficiently.

Graduates with a background in data science are in high demand across nearly all industries. For individuals seeking a significant career transition with strong earning potential, a career in data analytics or data science presents a compelling opportunity. Moreover, candidates with a comprehensive understanding of the field may explore a variety of…

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