My Graduation from I4Gdatacamp 2023

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Celebrating My Graduation from I4Gdatacamp 2023



I am thrilled to announce that I have successfully graduated from the I4Gdatacamp 2023 program. This has been an amazing five-month journey full of outstanding learning opportunities at DataCamp. During this time, I focused on improving my abilities as a statistician in the field of data science.

My Career Tracks

As part of the program, I completed several career tracks, demonstrating my proficiency:

  1. Data Analyst with Python
  2. Data Scientist with Python
  3. Data Analyst in Power BI
  4. Data Analyst in SQL
  5. Data Scientist Professional Track
  6. Data Analysis without SQL
  7. Data Analysis with Power BI

Certifications and Achievements

I'm proud to have completed nine projects and earned two certifications, the Associate Data Scientist and Data Engineer certifications. This accomplishment wouldn't have been possible without the incredible support and resources provided by IngressiveForGood and DataCamp, as well as the Anambra Techies community.

Ready for Real-world Challenges

With my graduation, I am now officially ready and eager to apply my knowledge and practical skills to real-world challenges. I am actively looking for opportunities to contribute to innovative and sustainable solutions using data. If you have any such opportunities or know of organizations looking for a data-driven problem solver, please feel free to share or comment below. Your support and recommendations are greatly appreciated.

Explore My Portfolio

You can explore my DataCamp portfolio and view the twelve visible projects I've completed, which include notable projects like:

  • Dr. Semmelweis and the Discovery of Handwashing (Python)
  • A Visual History of Nobel Prize Winners (Python)
  • Predicting Credit Card Approvals (Python)
  • What and Where are the World's Oldest Businesses (SQL)
  • Designing a Bank Marketing Database (SQL)
  • Competition - Supply Chain Analytics (Power BI), among others.

Here is the link to my DataCamp portfolio: Marist Chibuike

Tools Used

Some common data science tools that I have used during the program are:

  • Python: A versatile programming language that offers a wide range of libraries and frameworks for data analysis, visualization, and machine learning.
  • SQL: A query language that allows manipulating and retrieving data from relational databases.
  • Power BI: A business intelligence platform that enables creating interactive dashboards and reports from various data sources.
  • Jupyter Notebook: An open-source web application that allows creating and sharing documents that contain live code, equations, visualizations, and text.
  • Git: A version control system that helps track changes and collaborate on projects with other developers.

Thank you for being a part of my journey, and I look forward to the exciting opportunities that lie ahead.

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