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 expertise
  • 4.7

    (20,912 reviews)

  • Beginner level

  • Flexible schedule

    4 months, 10 hours a week Learn at your own pace
  • Build toward a degree

    Learn More

    • About
    • Outcomes
    • Courses
    • Testimonials

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

  • Details to know

    Shareable certificate

    Add to your LinkedIn profile

    Taught in English

    24 languages available

    Recently updated!

    July 2024

  • See how employees at top companies are mastering in-demand skills

  • Advance your career with in-demand skills

    • Receive professional-level training from IBM
    • Demonstrate your technical proficiency
    • Earn an employer-recognized certificate from IBM

Get exclusive access to career resources upon completion

Soft skills training

Get free access to IBM’s People and Soft Skills Specialization

Resume review

Improve your resume and LinkedIn with personalized feedback

Interview prep

Practice your skills with interactive tools and mock interviews

Career support

Plan your career move with Coursera’s job search guide

  • Advance your career with in-demand skills

    Add this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance review
  • New to Data Analysis? Start here.

  • 20 Examples of Generative AI Applications Across Industries

  • July 24, 2024 Article

  • 7 Generative AI Use Cases

  • July 24, 2024 Article

  • Generative AI vs. Predictive AI: What’s the Difference?

  • July 24, 2024 Article

  • Mastering Big Data Analysis: The Role of a Big Data Analyst

  • July 24, 2024 Article

  • 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 Analytics
  • What you'll learn

  • Skills you'll gain

  • What you'll learn

  • Skills you'll gain

    Introduction to Data Analytics
  • What you'll learn

  • Skills you'll gain

  • What you'll learn

  • Skills you'll gain

    Introduction to Data Analytics
  • What 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 learners

  • Why people choose Coursera for their career

    What a platform! Very helpful for HR manager work in managing employees, etc. I highly recommend it to all of you! Good job Manager! Best!

    Dracule Mihawk Strongest Swordman Dracule Mihawk Strongest Swordman Dracule Mihawk Strongest Swordman

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.

More questions

Visit the learner help center

Ready to Start Your Professional Journey?

Our dedicated placement cell works directly with top firms across India and GCC countries to help you land high-paying roles upon completion.

Register Now

+91
Course Coursera