By completing this course, learners will be able to analyze datasets using NumPy and Pandas, perform efficient numerical operations, reshape and clean data, handle missing values, and apply end-to-end data analysis workflows on real-world datasets. The course begins with the foundations of NumPy, focusing on array structures, memory optimization, and statistical operations. It … [Read more...] about NumPy & Pandas: Analyze & Transform Data
Data Science
Oracle PL/SQL Triggers: Design, Implement & Manage
By the end of this course, learners will be able to identify different types of triggers, demonstrate trigger creation and deletion, implement advanced trigger logic, and manage dependencies for reliable database performance. They will also gain the ability to enforce business rules, replicate data across tables, and apply recompilation strategies to maintain valid PL/SQL … [Read more...] about Oracle PL/SQL Triggers: Design, Implement & Manage
Data Science Fundamentals with Python and SQL
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 … [Read more...] about Data Science Fundamentals with Python and SQL
AI Security
This Specialization prepares learners to design, deploy, and secure generative AI systems with confidence and responsibility. As generative AI and large language models (LLMs) transform industries, securing these technologies is critical. Through three courses, you will build foundational knowledge of generative AI, learn to recognize and mitigate risks, and gain hands-on … [Read more...] about AI Security
NumPy & Pandas: Analyze & Manage Retail Data
By the end of this course, learners will be able to manipulate NumPy arrays, implement gradient descent, clean and transform retail datasets using Pandas, create pivot tables and groupby aggregations, manage string and datetime data, and export results for business reporting. This hands-on case study–driven program begins with NumPy foundations to establish strong numerical … [Read more...] about NumPy & Pandas: Analyze & Manage Retail Data
