Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers. You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks. This course does not require any prior data analysis, spreadsheet, or computer science experience.
Mungkin Anda Juga Suka
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Primary 1 English
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CoComelon Lane! Brand New Netflix Kids Show!
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Alphabet ABC Phonics Series (From A to Z) in HD
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IELTS Listening and Speaking Sections Skills Mastery
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Popular Kids Songs & Nursery Rhymes Compilations - by BabyBus
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Exams and revision
ABCs Learn the Alphabet
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Bingo Songs! CoComelon Nursery Rhymes Mix
Letters and Letter Sounds
English Learning Videos!
Princess Power | Netflix Jr
Gabby's Dollhouse | Netflix Jr
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Generative AI for Data Analytics
Generative AI for Data Analytics
Generative AI for Data Analytics
Viewpoints: Women in Data Professions
Viewpoints: Women in Data Professions
Viewpoints: Women in Data Professions
Viewpoints: Advice for aspiring Data Analysts
Viewpoints: Advice for aspiring Data Analysts
Viewpoints: Advice for aspiring Data Analysts
Viewpoints: Career Options for Data Professionals
