Demonstrate the ability to use spreadsheets and use Excel to perform various data analysis tasks such as "Data wrangling" "and" Data mining ";
- Work with IBM Cognos Analytics to create a variety of graphs and charts and panels in Excel. Presenting data using Python libraries such as Matplotlib.
- Develop knowledge of Python language to analyze data and output APIs and web services using Python libraries such as Pandas and Numpy.
- Describe the data ecosystem and create queries to access data in cloud databases using SQL and Python from Jupiter notebooks.
The certification process takes less than 11 months and costs $39 per month.
Successful completion of 9 courses is required to obtain the IBM Data Analyst Professional Certificate.