About This workshop and the materials in this repo are for anyone who is interested in working with Data Science to produce high quality, working style! Check out follow course link if you think it is interested.
Course Link: IBM Data Analyst Professional Certificate
The courses enlisted as follows:
- C1-Introduction to Data Analytics
- C2-Excel Basics for Data Analysis
- C3-Data Visualization and Dashboard with Excel and Cognos
- C4-Python for Data Science, AI & Development
- C5-Python Project for Data Science
- C6-Databases and SQL for Data Science with Python
- C7-Data Analysis with Python
- C8-Data Visualization with Python
- C9-IBM Data Analyst Capstone Project
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.
Tools: Jupyter / JupyterLab, GitHub,
Libraries: Pandas, NumPy
Projects:
Total Hours: ~132 Hrs
