- Level Foundation
- Course by IBM
-
Offered by
About
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. No prior experience or degree needed. 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® recommended—when you complete, you can earn up to 12 college credits.
Auto Summary
The IBM Data Analyst course equips you with essential data analytics skills like Python, Excel, and SQL, preparing you for entry-level roles in as little as 4 months. Offered by Coursera and guided by expert instructors, this foundational program includes hands-on projects, a Professional Certificate, and an IBM Digital badge. Ideal for those aiming to launch a career in data analytics or advance into data science and AI, the course also provides career resources and up to 12 college credits. No prior experience or degree is required.

Rav Ahuja

Sandip Saha Joy

Steve Ryan

Kevin McFaul

Joseph Santarcangelo

Azim Hirjani

Hima Vasudevan

Saishruthi Swaminathan

Dr. Pooja

Ramesh Sannareddy

Abhishek Gagneja

IBM Skills Network Team