Data Skills-for-Everybody
What does it take to become a Data-Driven organization? While data scientists may be a critical piece of your data strategy, it takes a full team approach, with engagement from everybody from leaders to line workers-not just IT, to transform data into value and a competitive differentiator. And you need data literate professionals to analyze and use the data to realize the ROI of your data infrastructure investments.
Fast Lane / Directions Training has several ways for you to upskill your entire team on the 20% of the data, data science, and analytics skills that drive 80% of the capabilities your organization needs to build a Data & AI-Powered company. By empowering the broad range of roles in your company with data skills, you can also empower your people with the mindsets required to accelerate your digital transformation, and position your company to lead in the digital era.
VENDOR-NEUTRAL DATA SKILLS COURSES
- The Zombie Apocalypse Curriculum: Data Science for non-Data Scientists
- Business Data Analytics for Everybody
- Predictive Analytics for Everybody
- Machine Learning for Everybody
- Analytics & Machine Learning for Everybody Bootcamp
Business Performance
VENDOR TOOLS TRAINING FOR DATA CITIZENS + CITIZEN DEVELOPERS
Microsoft Power Platform
- Microsoft Power Platform Fundamentals (PL-900T00)
- Microsoft Power Platform Functional Consultant (PL-200T00)
- Microsoft Power BI Data Analyst (PL-300T00)
- Power Platform Developer (PL-400T00)
- Microsoft Power Automate RPA Developer (PL-500T00)
- Microsoft Power Platform Solution Architect (PL-600T00)
- Create and Manage Canvas Apps with Power Apps (PL-7001)
- Create and Manage Automated Processes by using Power Automate (PL-7002)
- Create and Manage Model-Driven Apps with Power Apps and Dataverse (PL-7003)
- Implement AI models with Microsoft Power Platform AI Builder (PL-7004)
- Microsoft Power Apps (55265)
- Microsoft Power Automate for End Users (55268)
- EXCLUSIVE Microsoft Copilot in Power Platform (MCPP)
Data Analysis
- Introduction to Data Analytics on Google Cloud (IDAGC)
- From Data to Insights with Google Cloud Platform (DIGCP)
- Serverless Data Processing with Dataflow (SDPF)
- Analyzing and Visualizing Data with Looker (AVDL)
- Orchestrate BigQuery Workloads with Dataform (OBWD)
- Looker Developer Deep Dive (LDDD)
- Logging, Monitoring, and Observability in Google Cloud (LMOGC)
- Developing Data Models with LookML (DDMLML)
ADDITIONAL COURSES
- Data Literacy for Business Professionals eLearning
- Introduction to R
- Applied Python for Data Science
- Essential Skills for BI and Analytics Professionals