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.
Read more
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.
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.
Data analysis is the process of collecting, storing, modeling, and analyzing data that can inform executive decision-making, and the demand for skilled data analysts has never been greater.
This program will teach you the foundational data skills employers are seeking for entry-level data analytics roles. It will not only help you start your career in data analytics, but also provides a strong foundation for future career development in other paths such as data science, artificial intelligence, deep learning, or data engineering.
You’ll learn the latest skills and tools used by professional data analysts including Excel spreadsheets, Python, Pandas, Numpy, Jupyter Notebooks, Cognos Analytics, and more. You’ll work with a variety of data sources and project scenarios to gain practical experience with data manipulation and applying analytical skills.
When you complete the full program, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.
This program is ACE® and FIBAA recommended—when you complete, you can earn up to 12 college credits and 6 ECTS credits.
What's inside
Six courses
Introduction to Data Analytics
Introduction to Data Analytics
Excel Basics for Data Analysis
Excel Basics for Data Analysis
Data Visualization and Dashboards with Excel and Cognos
Data Visualization and Dashboards with Excel and Cognos
Python for Data Science, AI & Development
(0 hours)
Python for Data Science, AI & Development
(0 hours)
Python Project for Data Science
Python Project for Data Science
IBM Data Analyst Capstone Project
IBM Data Analyst Capstone Project
Learning objectives
- Master the most up-to-date practical skills and tools that data analysts use in their daily roles
- Learn how to visualize data and present findings using various charts in excel spreadsheets and bi tools like ibm cognos analytics & tableau
- Develop 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 your work
- Master the most up-to-date practical skills and tools that data analysts use in their daily roles
- Learn how to visualize data and present findings using various charts in excel spreadsheets and bi tools like ibm cognos analytics & tableau
- Develop 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 your work
Save this collection
Save
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
