Certified Professional in Data Analysis with SQL

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Course Summary The Certified Professional in Data Analysis with SQL certificate is a vital credential for aspiring data professionals. With ten comprehensive units, this course addresses the surging industry demand for SQL expertise.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Learners master essential skills in data extraction, manipulation, and visualization, enabling them to transform raw information into actionable insights. This program bridges the gap between theoretical knowledge and practical application, preparing candidates for roles such as Data Analyst and Business Intelligence Specialist. By completing this rigorous curriculum, individuals significantly enhance their employability and career trajectory, positioning themselves as competitive assets in the data-driven economy.

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์–ด๋””์„œ๋“  ํ•™์Šต

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • SQL Fundamentals for Data Analysis
  • Data Wrangling and Cleaning with SQL
  • Data Aggregation and Summarization using SQL
  • SQL Joins and Subqueries for Data Analysis
  • Database Design for Data Analysis with SQL
  • Data Visualization Techniques for SQL Data
  • Advanced SQL Analytics and Window Functions
  • SQL Performance Optimization and Query Tuning
  • Working with Big Data using SQL and Cloud Platforms

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Certified Professional in Data Analysis with SQL Career Roles (UK) Description Data Analyst (SQL, Data Visualization) Analyze large datasets using SQL, creating reports and visualizations to support business decisions.

High demand across various sectors.

Business Intelligence Analyst (SQL, Data Warehousing) Develop and maintain data warehouses, extract insights from data using SQL, and present findings to stakeholders.

Strong SQL skills are crucial.

Database Administrator (SQL, Database Management) Manage and maintain databases, ensuring data integrity and availability.

Proficient SQL skills are essential for this role.

Data Scientist (SQL, Machine Learning) Apply advanced analytical techniques, including SQL, to extract insights from complex datasets and build predictive models.

A strong SQL foundation is needed.

SQL Developer (SQL, Database Development) Design, develop, and maintain database systems using SQL.

Expert-level SQL skills are paramount.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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Data Analysis SQL Queries

์ฝ”์Šค ์ˆ˜๊ฐ•๋ฃŒ

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFIED PROFESSIONAL IN DATA ANALYSIS WITH SQL
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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4.8

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