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IBM Data Analyst Professional Certificate

Become a Job-Ready Data Analyst with IBM’s Professional Certificate (11-Course Series)

Looking to kickstart a career in data analytics, one of today’s fastest-growing tech fields? This comprehensive IBM Professional Certificate Program is designed to take you from beginner to job-ready in just 4 months. Whether you’re new to tech or looking to upskill, you’ll learn the tools and techniques that top employers value most — including Python, Excel, SQL, Pandas, Numpy, Jupyter Notebooks, and Cognos Analytics.

Why Choose This Program?

Data analysis has become essential for business success. Every organization today relies on data-driven decisions — and skilled analysts who can collect, clean, interpret, and visualize that data are in high demand. This program helps you master those skills step by step, while also building a strong foundation for more advanced paths like data science, AI, deep learning, or data engineering.

You’ll also explore how Generative AI is transforming data analytics — gaining insights into how tools like AI copilots can enhance efficiency, automate analysis, and uncover deeper insights from data.

What You’ll Learn

Throughout this 11-course journey, you’ll:

  • Develop strong data manipulation and visualization skills.

  • Use real datasets to create professional dashboards and reports.

  • Learn to query databases using SQL and extract insights using Python.

  • Build regression models, explore predictive analytics, and create interactive dashboards.

  • Strengthen your communication and storytelling skills to present insights clearly and persuasively.

Program Overview (11 Courses)

  1. Introduction to Data Analytics – 10 hours

  2. Excel Basics for Data Analysis – 12 hours

  3. Data Visualization and Dashboards with Excel and Cognos – 15 hours

  4. Python for Data Science, AI & Development – 25 hours

  5. Python Project for Data Science – 8 hours

  6. Databases and SQL for Data Science with Python – 18 hours

  7. Data Analysis with Python – 16 hours

  8. Data Visualization with Python – 20 hours

  9. IBM Data Analyst Capstone Project – 26 hours

  10. Generative AI: Enhance Your Data Analytics Career – 14 hours

  11. Data Analyst Career Guide and Interview Preparation – 10 hours

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