As I promised, I completed the IBM Data Analyst Professional Certificate and wanted to share my review in addition to course notes that will aid you in completing this career path.
The path consists of nine courses
- Introduction to Data Analytics
- Excel Basics for Data Analysis
- Data Visualization and Dashboards with Excel and Cognos
- Python for Data Science, AI & Development
- Python Project for Data Science
- Databases and SQL for Data Science with Python
- Data Analysis with Python
- Data Visualization with Python
- IBM Data Analyst Capstone Project
Course Audience
- Junior Data Analysts
- Aspiring Data Analysts
Skills you will learn
- Microsoft Excel
- Python Programming
- Data Analysis
- Data Visualization (DataViz)
- SQL
- Data Science
- Spreadsheet
- Pivot Table
- IBM Cognos Analytics
- Dashboard
- Pandas
- Nump
You will also learn how to
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Demonstrate proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining
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Create various charts and plots in Excel & work with IBM Cognos Analytics to build dashboards. Visualize data using Python libraries like Matplotlib
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Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
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Describe data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks
And Finally you can download the course Notes below
Video Walk-Through
- IBM Data Analyst vs Google Data Analytics: Data Visualization and Dashboards with Excel and Cognos
- IBM Python For Data Science Certificate Review – Is it worth it?
- Excel Basics For Data Analysis – IBM Data Analyst Professional Certificate Review
Course Badge and Certificate
- Badge
- Certificate is below
