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 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. 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.
No prior knowledge of computer science or programming languages required.
Link to this specialization can be found here
All courses in the specialization contain multiple hands-on labs and assignments to help you gain practical experience and skills with a variety of data sets. Build your data science portfolio from the artifacts you produce throughout this program. Course-culminating projects include:
- Extracting and graphing financial data with the Pandas data analysis Python library
- Generating visualizations and conducting statistical tests to provide insight on housing trends using census data
- Using SQL to query census, crime, and demographic data sets to identify causes that impact enrollment, safety, health, and environment ratings in schools
| Course Number | Course Title |
|---|---|
| Course #1 | Tools for Data Science |
| Course #2 | Python for Data Science, AI, and Development |
| Course #3 | Python Project for Data Science |
| Course #4 | Databases and SQL for Data Science with Python |
| Course #5 | Statistics for Data Science with Python |