Data Analytics Certification
This certificate acknowledges that I have completed a rigorous and comprehensive Data Analytics course, demonstrating proficiency in key areas essential for a successful career in the field.
Curriculum Highlights
✅ Foundations of Data Analytics
✅ Excel and Advanced Excel
✅ Microsoft powerBI Proficiency
✅ SQL Databases
✅ Data Visualization
✅ Problem solving Skills
✅ Big Data Technologies
✅ Data Ethics and Privacy.
PWC Forage Job Simulation Certification
Completed a job simulation where I strengthened my PowerBI skills to better understand clients and their data visualisation needs.
Demonstrated expertise in data visualization through the creation of Power BI dashboards that effectively conveyed KPIs, showcasing the ability to respond to client requests with well-designed solutions.
Strong communication skills reflected in the concise and informative email communication with engagement partners, delivering valuable insights and actionable suggestions based on data analysis.
Leveraged analytical problem-solving skills to examine HR data, particularly focusing on gender-related KPIs, and identified root causes for gender balance issues at the executive management level, highlighting a commitment to data-driven decision-making.
Data Science Certification
This certificate acknowledges that I have completed a rigorous and comprehensive Data Science course, demonstrating proficiency in key areas essential for a successful career in the field.
Curriculum Highlights
✅ Foundations of Data Science
✅ Statistical Analysis
✅ Programming Proficiency
✅ Data Visualization
✅ Machine Learning
✅ Big Data Technologies
✅ Data Ethics and Privacy.
Applied Data Science Lab
Earners of this badge have completed eight end-to-end, applied data science projects. In each project, they accessed data from files, SQL and NoSQL databases and APIs. They have demonstrated their ability to explore and clean data, create functions and ETL pipelines to prepare training sets. They have built machine learning models for supervised and unsupervised learning tasks, and have created visualizations to explain data characteristics and model predictions for non-technical audiences.