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The IBM Professional Certificate is earned after successfully completing 9 courses on various topics in Data Analytics. I now understands the core principles of data analysis and have worked hands-on with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Relational Databases, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation, data analysis, and data visualization. Through the certificate i applying different analytical techniques by analyzing real-world datasets, creating visualizations & interactive dashboards, and presenting reports to share findings of data analysis.

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Skills

  • Data
  • Data Science
  • Spreadsheet
  • Data Analysis
  • Python Programming
  • Microsoft Excel
  • IBM Cognos Analytics
  • Dashboard
  • SQL
  • Numpy
  • Pandas
  • Data Visualization
  • Pivot Table

The Professional certificate consist of 9 sub-certificates

  • IBM Data Analyst Capstone Project
  • Introduction to Data Analytics
  • Data Analysis with Python
  • Python for Data Science, AI & Development
  • Data Visualization with Python
  • Excel Basics for Data Analysis
  • Python Project for Data Science
  • Data Visualization and Dashboards with Excel and Cognos
  • Databases and SQL for Data Science with Python

What I learned through the professional certificate

  1. Master the most up-to-date practical skills and tools that data analysts use in their daily roles.
  2. Learn how to visualize data and present findings using various charts in Excel spreadsheets and BI tools like IBM Cognos Analytics & Tableau
  3. Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
  4. Gain technical experience through hands on labs and projects and build a portfolio to showcase your work

Links

  • To see my final certificate of completion click Here
  • To check out the course, click Here