This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.
You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. This course teaches you about the popular tools in Data Science and how to use them. In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs.
This program is ACE® recommended-when you complete, you can earn up to 8 college credits. No prior knowledge of computer science or programming languages required. 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. You’ll learn these data science pre-requisites through hands-on practice using real data science tools and real-world data sets. The specialization consists of 5 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. 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. 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.
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