Coursera - Data Science Fundamentals with Python and SQL Specialization

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24-04-2021, 13:18
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  • Coursera - Data Science Fundamentals with Python and SQL Specialization
    MP4 | Video: 960x540 | Audio: AAC, 44.1Khz , 2ch | Duration: 7 hours | Language: English | 745 MB
    Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field.
    The specialization consists of 4 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. You'll learn these data science pre-requisites through hands-on practice using real data science tools and real-world data sets.



Coursera - Data Science Fundamentals with Python and SQL Specialization
MP4 | Video: 960x540 | Audio: AAC, 44.1Khz , 2ch | Duration: 7 hours | Language: English | 745 MB
Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field.
The specialization consists of 4 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. You'll learn these data science pre-requisites through hands-on practice using real data science tools and real-world data sets.


Upon successfully completing these courses, you will have the practical knowledge and experience to delve deeper in Data Science and work on more advanced Data Science projects.

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