This project involves guided scenarios aimed at completing the IBM Data Analyst Certificate. Assuming the role of a Data Analyst within a prominent international IT and business consulting firm renowned for its expertise in IT solutions, I am tasked with analyzing data to predict future skill demands and maintain competitiveness amidst fast-evolving technologies. My responsibilities include gathering information from various sources and identifying trends for this year's skills development report.
Week 1: Data Collection
My initial objective is to collect data on the most sought-after programming skills from job postings, training platforms, and surveys, among other channels. I will employ techniques such as web scraping and API utilization to gather data in various formats including .csv files, Excel sheets, and databases.
Week 2: Data Wrangling
I will utilize data wrangling techniques to prepare the collected data for analysis.
Week 3: Exploratory Data Analysis
Once sufficient data has been retrieved and cleaned, I will employ statistical methods to delve into the data.
Week 4: Data Visualization
This phase involves creating visual representations such as charts and graphs to elucidate insights from the data.
Week 5: Dashboard Development
Using IBM Cognos Analytics, I will construct a dashboard to consolidate all the data and identify trends and insights. This may involve answering questions such as: the current demand for programming languages, the most sought-after database skills, and the popularity of Integrated Development Environments (IDEs).
Week 6: presentation of findings
I use storytelling to share my findings in a presentation.