
Course Coursera
Instructors: IBM Skills Network Team +11 more
IBM Data Analyst
IBM Data Analyst Professional Certificate
Prepare for a career as a data analyst. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.
326,892 already enrolled

11 course series
Earn a career credential that demonstrates your expertise4.7
(20,912 reviews)
Beginner level
Flexible schedule
4 months, 10 hours a week Learn at your own paceBuild toward a degree
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What you'll learn
- Master the most up-to-date practical skills and tools that data analysts use in their daily roles
- Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
- Learn how to visualize data and present findings using various charts in Excel spreadsheets and BI tools like IBM Cognos Analytics & Tableau
- Gain technical experience through hands on labs and projects and build a portfolio to showcase your work
Skills you'll gain
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Taught in English
24 languages available
Recently updated!
July 2024
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Add this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance reviewNew to Data Analysis? Start here.
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Open new doors with Coursera Plus
Open new doors with Coursera Plus
Open new doors with Coursera Plus
Professional Certificate - 11 course series
Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months.
Introduction to Data Analytics
What you'll learn
- Explain what Data Analytics is and the key steps in the Data Analytics process
- Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
- Describe the different types of data structures, file formats, and sources of data
- Describe the data analysis process involving collecting, wrangling, mining, and visualizing data
Skills you'll gain
- Model Selection
- Data Analysis
- Python Programming
- Data Visualization
- Predictive Modelling
What you'll learn
Skills you'll gain
Introduction to Data AnalyticsWhat you'll learn
Skills you'll gain
What you'll learn
Skills you'll gain
Introduction to Data AnalyticsWhat you'll learn
Skills you'll gain
What you'll learn
Skills you'll gain
Introduction to Data AnalyticsWhat you'll learn
Skills you'll gain
What you'll learn
Skills you'll gain
Instructors
IBM Skills Network Team
IBM
58 Courses • 1,041,505 learnersWhy people choose Coursera for their career
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Frequently asked questions
Data analytics skills will prove valuable in any profession. As data analytics technology develops, organizations across fields are increasingly using data to inform decision-making. This program will provide you with all the skills needed for an entry-level Data Analyst role, and will provide a strong foundation for future career development in other paths such as data science or data engineering.
What will I be able to do upon completing the Professional Certificate? Upon completing this Professional Certificate, you will be armed with the skills and knowledge to start an entry level role in data analytics. You can also apply your newly-acquired analytical skills to enrich your current career in a variety of industries including banking, accounting, and IT and functions such as marketing, finance, and research.Data analytics skills are also valuable as an entry point to other data-related professions such as data science, data engineering, and business analytics. Can I get college credit for taking the IBM Data Analyst Professional Certificate? Yes. The IBM Data Analyst Professional Certificate secured a credit recommendation from the American Council on Education’s ( ACE) Credit Recommendation, as well as the European Credit Transfer and Accumulation System ( ECTS ) from the Foundation for International Business Administration Accreditation (FIBAA) – industry standards for translating workplace learning into college credit. This aims to help open up additional pathways to learners who are interested in higher education and prepare them for entry-level jobs. How do you share your proof of completion with the educational institutions for transferring credit? To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE®️ credit or ECTS recommendation. Once claimed, you will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed. Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Data analysis involves gathering, cleaning, organizing, modelling, and visualising data with the goal of extracting helpful insights that can inform decision-making.
Upon completing this Professional Certificate, you will be armed with the skills and knowledge to start an entry level role in data analytics. You can also apply your newly-acquired analytical skills to enrich your current career in a variety of industries including banking, accounting, and IT and functions such as marketing, finance, and research.Data analytics skills are also valuable as an entry point to other data-related professions such as data science, data engineering, and business analytics.Yes. The IBM Data Analyst Professional Certificate secured a credit recommendation from the American Council on Education’s ( ACE) Credit Recommendation, as well as the European Credit Transfer and Accumulation System ( ECTS ) from the Foundation for International Business Administration Accreditation (FIBAA) – industry standards for translating workplace learning into college credit. This aims to help open up additional pathways to learners who are interested in higher education and prepare them for entry-level jobs. To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE®️ credit or ECTS recommendation. Once claimed, you will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.
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