IBM Data Analyst Professional Certificate

The Data Science program prepares individuals for a career in the high-demand field of data science in as little as 4 months. No prior knowledge of programming is required. Students will develop essential skills to work as entry-level data scientists, including data gathering, cleaning, organizing, and analysis to extract insights and predict outcomes.

The program teaches in-demand tools and techniques used by professionals, including databases, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining. Participants will work with languages and libraries like Python, SQL, R, Jupyter Notebooks, Pandas, Numpy, Scikit-learn, and more.

Upon completion, students will have a portfolio of data science projects to showcase during interviews. They will also gain access to IBM’s Talent Network, offering job opportunities and personalized recommendations. The program is ACE® and FIBAA recommended, with the potential to earn up to 12 college credits and 6 ECTS credits.

The curriculum includes hands-on labs in IBM Cloud, with projects like analyzing financial data with Pandas, querying data sets with SQL, creating regression models, and applying machine learning algorithms. Students will also explore how generative AI tools are used in data science.

Dates subject to change.

What You’ll Learn

• How to visualize data and present findings using various charts in Excel spreadsheets and BI tools like IBM Cognos Analytics and Tableau.
• Develop a working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy and invoke APIs and web services.
• Gain technical experience through hands-on labs and projects and build a portfolio to showcase work.