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Career Advancement Programme in Inquiry-Based Data Analysis

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Inquiry-Based Data Analysis: This Career Advancement Programme empowers professionals to master data-driven decision-making. Designed for analysts, scientists, and business professionals, the programme focuses on practical data analysis techniques.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Learn statistical modeling, data visualization, and critical thinking skills. Develop problem-solving abilities through real-world case studies. Enhance your career prospects with advanced analytics expertise. Gain in-demand skills for a competitive job market. Boost your salary and unlock new career opportunities. Elevate your professional profile today. Explore the programme details and register now!

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์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Foundations of Inquiry-Based Learning
  • Data Wrangling and Preprocessing
  • Exploratory Data Analysis (EDA) Techniques
  • Statistical Inference and Hypothesis Testing
  • Data Visualization for Effective Communication
  • Regression Modeling and Predictive Analytics
  • Machine Learning Fundamentals for Data Analysis
  • Communicating Data Insights Effectively
  • Ethical Considerations in Data Analysis
  • Career Development Strategies in Data Science

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Data Analyst (UK) Analyze large datasets, extract insights, and visualize findings using tools like SQL, Python, and Tableau.

High demand in diverse sectors.

Business Intelligence Analyst (BI) Develop and maintain business intelligence dashboards and reports, providing key performance indicators (KPIs) to support strategic decision-making.

Strong SQL and data visualization skills required.

Data Scientist (Machine Learning) Develop and implement machine learning models for predictive analysis and data mining.

Requires advanced programming skills (Python, R) and statistical knowledge.

Data Engineer (Cloud-Based) Design, build, and maintain data pipelines and infrastructure using cloud technologies (AWS, Azure, GCP).

Focus on data ingestion, processing, and storage.

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์‚ฌ์ „ ๊ณต์‹ ์ž๊ฒฉ์ด ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ ‘๊ทผ์„ฑ์„ ์œ„ํ•ด ์„ค๊ณ„๋œ ๊ณผ์ •.

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

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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
CAREER ADVANCEMENT PROGRAMME IN INQUIRY-BASED DATA ANALYSIS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of Planning and Management (LSPM)
์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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