Overview
Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.
This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills.
Upon successful completion of this IBM Data Analyst couse offered by Coursera, you’ll have analyzed real-world datasets, created interactive dashboards, and presented reports to share your findings, giving you the confidence and the portfolio to begin a career as an associate or junior data analyst. You’ll also build the foundation for other data disciplines such as data science or data engineering.
Applied Learning Project
Throughout the program, you’ll complete hands-on projects and labs and gain a firm grasp on the technical skills required to effectively gather, wrangle, mine, and visualize data, as well as soft skills for working with stakeholders and storytelling with data to engage your audience.
At the end of the program, you will complete a real-world capstone project specifically designed to showcase your newly learned data analyst skills.
All these projects can be combined into a portfolio on GitHub or another service to clearly convey your experience and skills to potential employers.
Programme Structure
Courses include:
- Data Analytics
- Excel for Data Analysis
- Data Visualization and Dashboards with Excel and Cognos
- Python for Data Science and AI
- Databases and SQL for Data Science
- Data Analysis with Python
- Data Visualization with Python
- IBM Data Analyst Capstone Project
Key information
Duration
- Part-time
- 4 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Analytics View 176 other Short Courses in Data Analytics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner Level
- This course is aimed at beginners and aspiring data analysts who want to develop practical skills in data analysis, working with tools like Excel, SQL, and Python, and build a portfolio for entry‑level data analyst roles.
- No degree or prior experience required. All you need is basic computer literacy, high school math, and comfort with numbers.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription