Data Science Fundamentals with Python and SQL is a comprehensive Specialization offered by IBM, designed to equip learners with essential skills for a career in data science. This self-paced program consists of 5 courses, providing hands-on experience with open source tools, Python, SQL, and statistical analysis techniques.
Upon completion, learners will have the practical knowledge and experience to pursue more advanced data science projects, with the potential to earn up to 8 college credits. This program is accessible to individuals with no prior knowledge of computer science or programming languages.
Certificate Available ✔
Get Started / More Info
Become proficient in essential data science tools, Python programming, statistical analysis, and SQL through 5 self-paced online courses within this Specialization from IBM.
Explore the Data Scientist’s tool kit, including libraries, data sets, and machine learning models. Gain working knowledge of Python, R, and SQL while using tools such as Jupyter notebooks and RStudio. Learn to manage source code for data science using Git repositories and GitHub.
Gain proficiency in Python basics, data types, and structures. Apply Python programming logic and utilize libraries such as Pandas, Numpy, and Beautiful Soup. Access web data using APIs and web scraping from Python in Jupyter Notebooks.
Immerse yourself in a real data science project, demonstrating proficiency in Python and its data structures. Build a dashboard using Python and libraries like Pandas, Beautiful Soup, and Plotly within Jupyter notebook.
Write Python code to conduct various statistical tests including T tests, ANOVA, and regression analysis. Interpret results, calculate descriptive statistics and visualization, and create a final project demonstrating understanding of statistical tests using Python.
Analyze data within a database using SQL and Python. Create a relational database, work with multiple tables, and construct basic to intermediate level SQL queries. Learn advanced SQL techniques like views, transactions, stored procedures, and joins.
Learn advanced data visualization techniques in Python using popular libraries like Seaborn, Altair, Bokeh, and Matplotlib. Master the art of choosing the right...
Data Warehousing with Oracle: Design a Database
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro is an intensive one-week course that teaches how to create and manage computing...
Structured Query Language (SQL) using SAS is a comprehensive course that equips learners with the skills to query and manipulate data in SAS programs using SQL,...