Description
IBM Data Science Professional Specialization: Your Complete Path to Becoming a Data Scientist
This isn’t just a course—it’s a **full professional specialization** created by IBM and delivered through Coursera, now available for self-paced mastery. You’ll learn the entire data science workflow: from asking the right questions and using open-source tools (Jupyter, RStudio) to writing SQL queries, applying methodology, and delivering data-driven solutions.
What’s Inside This Specialization?
- What is Data Science?—understand the roles, tools, and real-world impact
- Open Source Tools for Data Science—master Jupyter, RStudio, Zeppelin, and Watson Studio
- SQL for Data Science—query databases, join tables, and integrate with Python
- Data Science Methodology—follow a repeatable, proven framework from problem to deployment
What You’ll Build
- A Jupyter notebook project that analyzes real-world data
- A SQL-based analysis using real business datasets
- A final capstone project that ties all phases together—from framing to feedback
Why This Specialization?
- Created by IBM—the global leader in enterprise AI and data
- Industry-aligned—teaches tools used by real data teams (SQL, Python, R, Jupyter)
- Beginner-friendly—no prior experience needed
- Digital badge included—showcase your credential on LinkedIn
Who Is This For?
- Aspiring data scientists in Nigeria and Africa
- Analysts transitioning into data roles
- Students needing a structured, vendor-backed curriculum
- Professionals seeking a verified, job-relevant credential
Your Gateway to the Data Economy
This specialization gives you the **exact blend of theory, tooling, and methodology** used in real data science teams at IBM, banks, and startups.
Ready to become job-ready in data science? Enroll now.
