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Data Analysis with Python

Eric Chuar has successfully obtained a Data Analysis with Python for Personal & Professional Productivity Course Certificate from IBM.

SCHOOL:
IBM

GRADUATED:
2019

DURATION:
6 Months

Data Analysis with Python-page

Skills Gained

Develop Python code for cleaning and preparing data for analysis – including handling missing values, formatting, normalizing, and binning data

Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines

Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy

Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making

Course Perspective

Taking the certification course that focused on Python for data analysis was a challenging yet rewarding experience. At first, the whole idea of data cleaning and preparation felt a bit overwhelming. Dealing with missing values, formatting inconsistencies, and the normalization of data was like solving multiple puzzles at the same time. But as I delved deeper, it became clear that mastering these skills was crucial for accurate analysis.

Data manipulation was another area that required some heavy lifting. Learning to work with dataframes, summarizing data, and understanding data distributions added another layer to my skill set. It’s one thing to collect data, but another to make sense of it in a meaningful way.

The course also led me into the world of exploratory data analysis, where I got to apply analytical techniques to real-world datasets using libraries like Pandas, Numpy, and Scipy. This hands-on approach was incredibly beneficial, offering me the chance to take theories and concepts into actual practice.

Then came the machine learning part, which was a bit daunting. But once I got into it, building and evaluating regression models using the scikit-learn library became one of the most gratifying aspects of the course. Being able to predict outcomes and make informed decisions based on these models was like seeing all the pieces come together.

This course has been invaluable for my work in digital marketing, programming, and coaching. Now, I can confidently handle data, make sense of it, and use it to inform strategies and decisions. It wasn’t an easy journey, but the skills and insights I’ve gained are well worth the effort.