Specialization Fundamentals of Data Science with Python and SQL

Data Science is one of the hottest jobs of the decade, and the demand for professionals who can analyze data and communicate results to make data-driven decisions has never been higher. This specialization from IBM will help anyone interested in a career in data science by teaching them the fundamental skills needed to get started in this in-demand field. The specialization consists of 5 self-paced online courses that will give you the foundational skills needed to work in the field of Data Science, including open source tools and libraries, Python, statistical analysis, SQL, and relational databases. You will learn these essential data science skills through hands-on work with real data science tools and real data sets. Upon successful completion of these courses, you will gain the practical knowledge and experience needed to dive deeper into Data Science and work on more advanced Data Science projects. No prior knowledge of computer science or programming languages ​​is required. This program is ACE® recommended and will earn you up to 8 college credits upon completion. Applied learning project All courses in the specialization contain a variety of hands-on labs and assignments that will help you gain hands-on experience and skills working with a variety of data sets. Build your data science portfolio based on the artifacts you create throughout the program. Course capstone projects include: - Extracting and Plotting Financial Data Using Python's Pandas Data Analysis Library - Create visualizations and conduct statistical tests to obtain information about housing trends based on census data - Using SQL to query census, crime, and demographic data sets to identify factors that influence school enrollment, safety, health, and environmental performance