Practice SQL queries, analyze spreadsheets, build interactive dashboards, and solve business problems—then turn your work into portfolio projects you can confidently explain in interviews.
Move from a clear explanation to hands-on practice, then apply the skill to a business question and communicate what you found.
Start with one goal today and connect it to a complete learning journey.
Build foundations with focused topics and practical examples.
Explore learning 02 · PracticeUse SQL, Excel, Power BI, and Python in business scenarios.
Start practicing 03 · BuildTurn analysis into projects you can confidently present.
View projects 04 · PreparePractice interviews, business reasoning, and storytelling.
Prepare for interviewsJob-market information guides the curriculum, but your learning journey remains the center of the experience.
Review relevant practice before your next application.
Review relevant practice before your next application.
Review relevant practice before your next application.
Review relevant practice before your next application.
Review relevant practice before your next application.
Start with your immediate goal, then connect skills, practice, projects, interview preparation, and relevant jobs.
Learn core analytical thinking, practice SQL and spreadsheet analysis, complete a first dashboard project, and prepare to explain your work.
Choose SQL, Excel, Power BI, Python, visualization, or data engineering.
Choose a skill Build a portfolioMove from a business question to analysis, findings, and recommendation.
View projects Prepare for interviewsReview technical, business, portfolio, and stakeholder questions.
Prepare now Change directionUnderstand responsibilities, tools, practice, and project expectations.
Compare rolesSee how skills, a portfolio project, interview topics, and current opportunities fit together.
Build a preparation plan around the work this role commonly performs.
Explore current Data Analyst jobsFocus on the tools and decisions used in the role.
Create an end-to-end example you can present.
Practice technical and business explanations.
Compare preparation with real job descriptions.
Build a preparation plan around the work this role commonly performs.
Explore current BI Analyst jobsFocus on the tools and decisions used in the role.
Create an end-to-end example you can present.
Practice technical and business explanations.
Compare preparation with real job descriptions.
Build a preparation plan around the work this role commonly performs.
Explore current Data Scientist jobsFocus on the tools and decisions used in the role.
Create an end-to-end example you can present.
Practice technical and business explanations.
Compare preparation with real job descriptions.
Build a preparation plan around the work this role commonly performs.
Explore current Data Engineer jobsFocus on the tools and decisions used in the role.
Create an end-to-end example you can present.
Practice technical and business explanations.
Compare preparation with real job descriptions.
Understand why a skill matters, where it is used, and what you can build to demonstrate it.
Filter, join, summarize, and validate business data.
Analyst, BI, science, and engineering rolesAnalyze operational data and create repeatable reports.
Analyst and financial rolesModel data, define KPIs, and build interactive reports.
Analyst and BI rolesClean data, automate analysis, and evaluate models.
Analyst, science, and engineering rolesOrganize analytical data for reliable reporting.
BI, analytics engineering, and data engineeringMove, test, and maintain trustworthy data.
Data and analytics engineering rolesTurn findings into clear visual explanations.
Analyst, BI, and business rolesExplain methods, findings, and recommendations.
Every data careerLearn how analysts filter records, calculate metrics, compare performance, join data, identify trends, and explain what the result means.
Real DataCareerHub dashboard previewInvestigate operational problems, interpret dashboards, identify performance drivers, and prepare an evidence-led recommendation.
Show the complete analytical story—not only the finished dashboard. A strong project makes your question, method, evidence, conclusion, and recommendation easy to follow.
A placeholder BI dashboard story for revenue, margin, inventory, or operations reporting.
View complete project
A placeholder project story for extracting structured insights from unstructured clinical or operational notes.
View complete projectA placeholder business-friendly analytics story Dennis can replace with a real healthcare project.
View complete projectPractice explaining your SQL, dashboard choices, portfolio project, business reasoning, and stakeholder communication.
Use current roles to spot recurring skills, choose relevant practice, and shape projects you can confidently discuss. Opportunities inform the journey; practical learning remains the focus.
Explore all opportunitiesGustoChicago, IL - Remote; Denver, CO - Hybrid; Las Vegas, NV - Remote; New York, New York, United States; Phoenix, AZ - Remote; San Francisco, CA - Hybrid
Scale AIUnited States
Bring together your target role, recommended skills, current practice, portfolio work, interview checklist, saved jobs, and applications.
Explore LearningSQL, Power BI, business metrics, and portfolio explanation.
Continue preparationAnswer a revenue question using grouped metrics.
Document findings and recommendations.
Review skills found in opportunities you follow.
Access deeper practice, complete portfolio projects, advanced Analytics Lab scenarios, role-specific preparation, and more detailed progress guidance as those plans become available.
Review plan availabilityExplore useful preparation now without overstating unfinished premium capabilities.
Begin with a focused learning path, practice through a realistic problem, and create work you can confidently explain.
