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IBM Data Analyst Professional Certificate

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Course Features

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Duration

11 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

3 hours per week

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Teaching Type

Self Paced

Course Description

This eight-course IBM Professional Certificate will equip you with the necessary skills to become a data analyst. It will also help you compete in the thriving market for data analysts which is expected to grow by 20% through 2028 (U.S. Bureau of Labor Statistics). You can boost your career as a data analyst by understanding the fundamental principles of data analysis. Working with various data sources and project scenarios and using a variety data analysis tools such as Excel, SQL, Python and Jupyter Notebooks and Cognos Analytics will give you practical experience in data manipulation and applying analytical methods. The Professional Certificate is open to all learners, regardless of their college degree. It does not require programming or statistical knowledge. You will need basic computer literacy, high-school math, comfort working in numbers, a willingness to learn and the desire to enhance your profile with valuable skills. After completing this program successfully, you will have analyzed real-world data, created interactive dashboards and presented your findings in reports. This will give you the confidence to start a career as a junior or associate data analyst. This program will also help you to build the foundations for data science and data engineering.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Demonstrate proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining

Create various charts and plots in Excel & work with IBM Cognos Analytics to build dashboards Visualize data using Python libraries like Matplotlib

Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services

Describe data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks

Course Instructors

Rav Ahuja

Global Program Director

Rav Ahuja is a Global Program Director at IBM. Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Profession...

Sandip Saha Joy

Data Scientist

Sandip Saha Joy is working as a Data Scientist for IBM. After completing high school from Bangladesh, he is pursuing a Bachelor of Science with Specialization in Computing Science at the University o...

Steve Ryan

Instructor & Content Developer

Steve Ryan is based in the UK and works for Skill-Up Technologies as a Senior Instructional Designer and Content Developer. His background is in IT, and had been a Microsoft Certified Trainer since 1...

Kevin McFaul

Global Product Management

Kevin McFaul, Global Product Management, IBM Analytics and AI Applications, has been a key driver in the evolution of IBM’s analytics portfolio, applying AI to transform core business domains. His co...
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