Modeling for Insights: Get acquainted to Modeling for insights through a well-rounded technical foundation which includes hands-on Structured Query Language labs, and then Model data using Data Analysis Expressions (DAX) using real-world examples that helps look at the reports in a different way i.e., with the correct model, the correct answer is always a simple one!
Modeling for Prediction: Automation with Machine Learning is the significant aspect of this module. Explore the data to generate hypotheses and intuition and communicate results through Analyzing and Visualizing data with Power BI, Data Shaping through Power Query, and Enterprise Business Process Automate using Power Platform and Azure Cognitive AI.
Scaling for Analytics: Scaling Analytics through the Auto ML – apply regression and classification techniques to power business forecasts and drive decision-making and strategy, Data Engineering through transfer of Power Query and M-Language skills into Azure Data Factory (ADF) and build skills to troubleshoot underperforming queries and drifting Machine Learning models.
Project Capstone: This module serves as the capstone for the 9 weeks of learning through integration of Data Science skills through a project focused on real-world open data. The learner may choose to work alone but preferably in a group of 2-3. In addition, support from staff is provided to tailor the data science process steps to develop a minimum viable data product. A learner is assessed on their problem hypothesis, statistical model, insights delivered through use of the model, flexibility of the model. The goal of this this module is to help a learner to develop an effective LinkedIn Profile, showcase project portfolio, prepare for interviews by revisiting their capstone problem, and share capstone project results.
Certifications: By the end of this course you will have the skills needed to acquire Microsoft Azure Fundamentals (AZ-900), Power Platform Fundamentals (PL-900), Data Analyst Associate (DA-100), Data Fundamentals (DP-900).
Data Analyst and Data Science Jobs: Equip yourself to succeed in a career such as Database Developer, System Engineer, Database Administrator, Report Visualizer, Power BI Architect, Data Visualization Engineer, Power Query Developer, Cloud Engineer, and Applied Data Scientist.