IBM Data Analyst Professional Certificate | Best courses in Data Analysis
Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No degree or prior experience is required.
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4 Months
Under 10 hours of study a week
English
Beginner Level
No prior experience is required.
Earn credits
Description
Gain the job-ready skills for an entry-level data analyst role through this Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).
Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills and practice. You’ll work with various data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.
This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills.
Upon successful completion of this program, you’ll have analyzed real-world datasets, created interactive dashboards, and presented reports to share your findings, giving you the confidence and the portfolio to begin a career as an associate or junior data analyst. You’ll also build the foundation for other data disciplines such as data science or data engineering.
This program is ACE® recommended—you can earn up to 12 college credits when you complete it.
Applied Learning Project
Throughout the program, you’ll complete hands-on projects and labs and gain a firm grasp on the required technical skills to effectively gather, wrangle, mine, and visualize data, as well as the soft skills for working with stakeholders and storytelling with data to engage your audience. Projects
Import, clean, and analyze fleet vehicle inventory with Excel pivot tables.
Use car sales key performance indicator (KPI) data to create an interactive dashboard with visualizations.
Extract and graph financial data with the Pandas data analysis Python library.
Use SQL to query census, crime, and school demographic data sets.
Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries.
Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability.
At the end of the program, you complete a real-world capstone project specifically designed to showcase your newly learned data analyst skills.
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