Self-Paced Course
Thinking Like an Analyst
Crash course for aspiring analytics & BI professionals looking to build the foundation for a successful career.
Course Description
Thinking Like an Analyst is a crash course for aspiring BI professionals looking to build the foundation for a successful career in data.
You'll learn from Maven's top instructors as they guide you through proven frameworks and interactive case studies designed to help you think like a world-class analyst.
We'll introduce the analytics landscape and walk through each stage of the data analysis workflow, then introduce an interactive measurement planning exercise to help you learn how to define success and build frameworks for identifying, tracking, and optimizing KPIs.
Next we'll explore a series of data prep and analysis case studies, from cleaning, transforming and profiling raw data to writing actionable, data-driven insights and recommendations.
From there we'll dive deep into the world of data visualization, explore the science behind effective visual communication, review pro tips and best practices, and walk you through each step of our proven dashboard design process.
Last but not least, we'll break down the analytics tool landscape, introduce common "stacks" for different roles, and finally share some of our favorite resources and learning paths.
By the end of the course, you'll be able to employ the same tactics and techniques used by elite analysts, and feel confident applying them to your own career.
COURSE CURRICULUM:
- Course Structure & Outline
- Meet Your Instructors
- Setting Expectations
- DOWNLOAD: Course Resources
- Data Analyst Job Insights
- Flavors of Analytics
- BI vs. Data Science
- Finding Your Path
- The Analytics Trifecta
- Strategic Thinking
- Technical Proficiency
- Communication Skills
- Key Takeaways
- Understand the Business Case
- Build a Measurement Plan
- Collect & Prepare the Data
- Understand the Data
- Analyze & Visualize the Data
- Develop Data-Driven Insights
- Measure, Test & Optimize
- CASE STUDY: Maven Muscles
- Step 1: Think Business First
- Step 2: Know Your Audience
- Step 3: Define the KPIs
- Step 4: Identify Data Sources
- Key Takeaways
- CASE STUDY: Maven Talent Hub
- Common QA Issues
- Profiling Metrics
- Profiling Visuals
- Data Engineering & ETL
- ETL Example
- Exploratory vs. Explanatory Analysis
- Data-Driven Insights
- Insight Examples & Best Practices
- Key Takeaways
- 10-Second Rule
- The 3 Key Questions
- Q1: What Type of Data?
- Q2: What are you Communicating?
- Q3: Who is the End User?
- Context is Key
- Dashboards 101
- CASE STUDY: Maven Toys
- Step 1: Define the Purpose
- Step 2: Choose the Right Metrics
- Step 3: Present the Data Effectively
- Step 4: Eliminate Clutter & Noise
- Step 5: Use Layout to Focus Attention
- Step 6: Tell a Clear Story
- Key Takeaways
- BI Platforms
- Database Tools
- Data Prep & ETL Tools
- Spreadsheet Tools
- Programming Languages
- Common Tool Stacks
- Key Takeaways
- Tips for Success
- Helpful Resources
- Learning Paths
- Course Feedback Survey
- Share the love!
- Next Steps
WHO SHOULD TAKE THIS COURSE?
- Aspiring data professionals seeking to build core, foundational BI skills
- Analysts who want to strengthen their skills and learn proven frameworks & best practices
- Anyone looking to develop strong analytical thinking skills and learn from a team of world-class instructors
WHAT ARE THE COURSE REQUIREMENTS?
- This is an entry-level course (no prerequisites)
- Some experience working with data is helpful, but not required
Start learning for FREE, no credit card required!
Every subscription includes access to the following course materials
- Interactive Project files
- Downloadable e-books
- Graded quizzes and assessments
- 1-on-1 Expert support
- 100% satisfaction guarantee
- Verified credentials & accredited badges
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data rockstar?
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