Professional Certificate in Data Analytics Fundamentals: Basic Knowledge

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The Professional Certificate in Data Analytics Fundamentals is a vital course designed to equip learners with essential data analytics skills. This certificate program covers basic knowledge, providing a strong foundation for career advancement in the data-driven industry.

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In today's data-centric world, the demand for skilled data analysts is skyrocketing. By completing this certificate course, learners will gain a competitive edge, showcasing their proficiency in data manipulation, visualization, and interpretation. Throughout the course, students will master critical tools and techniques, including Excel, SQL, and data visualization. These skills are highly sought after by employers across various industries, making this certificate an invaluable asset for career growth. Upon completion, learners will be able to demonstrate their ability to collect, analyze, and interpret data, translating it into actionable insights. This certificate course is the perfect starting point for anyone looking to kickstart their career in data analytics or enhance their current skillset.

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โ€ข Introduction to Data Analytics: Understanding the data analytics landscape, data analytics process, and the role of a data analyst.
โ€ข Data Collection: Identifying data sources, data extraction techniques, and ethical considerations in data collection.
โ€ข Data Cleaning and Preparation: Techniques for data cleaning, data transformation, and data preparation.
โ€ข Data Analysis with Python: Introduction to Python programming, Python libraries for data analysis, and data manipulation techniques.
โ€ข Data Visualization: Principles of data visualization, creating effective visualizations using Python libraries, and storytelling with data.
โ€ข Statistical Analysis: Descriptive and inferential statistics, probability distributions, and statistical testing.
โ€ข Machine Learning Fundamentals: Supervised and unsupervised learning, model evaluation, and model selection.
โ€ข Big Data Analytics: Introduction to big data, tools and techniques for big data processing, and real-world big data use cases.
โ€ข Data Security and Privacy: Understanding data security risks, data privacy regulations, and best practices for data protection.

Note: This list is not exhaustive and can be tailored to specific learning objectives or audience needs.

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PROFESSIONAL CERTIFICATE IN DATA ANALYTICS FUNDAMENTALS: BASIC KNOWLEDGE
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London College of Foreign Trade (LCFT)
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05 May 2025
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