- Demonstrate proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining
- Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
- Create various charts and plots in Excel & work with IBM Cognos Analytics to build dashboards. Visualize data using Python libraries like Matplotlib
- Describe data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks
- Microsoft Excel
- Python Programing
- Data Analysis
- Data Visualization (DataViz)
- SQL
- Data Science
- Spreadsheet
- Pivot Table
- IBM Cognos Analytics
- Dashboard
- Pandas
- Numpy
Gain the job-ready skills for an entry-level data analyst role through this eight-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).
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 program, 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.
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.
Read more below:
Course Link: IBM Data Analyst Professional Certificate
- Rav Ahuja
- Sandip Saha joy
- Steven Ryan
- Kevin McFaul
- Joseph Santarcangelo
- Azim Hirjani
- Hima Vasudevan
- Saishruthi Swaminathan
- Alex Aklson
- Ramesh Sannareddy
| No | Course |
|---|---|
| 1. | Introduction to Data Analytics |
| 2. | Excel Basics for Data Analysis |
| 3. | Data Visualization and Dashboards with Excel and Cognos |
| 4. | Python for Data Science, AI & Development |
| 5. | Python Project for Data Science |
| 6. | Databases and SQL for Data Science with Python |
| 7. | Data Analysis with Python |
| 8. | Data Visualization with Python |
| 9. | IBM Data Analyst Capstone Project |