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Zero To Mastery

Become a Data Analyst

via Zero To Mastery Path

Overview

Master Data Analytics and transform raw data into actionable insights using SQL, Excel & visualization tools. Learn statistical analysis, Power BI & advanced reporting, and build your portfolio with real business projects and learn to make data-driven business decisions! This Data Analyst Career Path is your step-by-step roadmap to go from beginner (at any age!) to getting hired as a Data Analyst.
  • Launch a career at the intersection of data and technology by becoming a business-focused Data Analyst
  • Make data-driven decisions using the latest tools, technologies, and techniques
  • Analyze data using robust statistical analyses - no prior math knowledge required
  • Learn the most in-demand Data Analyst skills from scratch including Python, SQL, Excel, PowerBI
  • Be at the forefront of the field by learning to use LLMs like ChatGPT for efficient and accurate data analysis
  • Translate complex business data into actionable insights, applying analytical frameworks, hypothesis testing, and data visualization to tackle real-world business problems

Syllabus

  • The Excel Bootcamp: Zero to Mastery
  • Statistics Bootcamp (with Python): Zero to Mastery
  • Learning to Think [Cognitive Bias]
  • Learning to Make Better Decisions [Decision-Making]
  • Business Analytics Bootcamp (with Python): Zero to Mastery
  • Career Guide to Your Dream Job: Resumes, Interviews & Promotions
  • Apply To 5 Jobs
  • Learning to Learn [Efficient Learning]
  • Complete SQL + Databases Bootcamp
  • Advanced Excel Bootcamp: Data Analytics and Business Intelligence
  • The Python Automation Bootcamp (Work Smarter!): Zero to Mastery
  • Complete A.I. Machine Learning and Data Science: Zero to Mastery
  • Power BI Bootcamp: Zero to Mastery
  • The Data Engineering Bootcamp: Zero to Mastery
  • Apply To 5 Jobs You Really Want
  • Future Proof Yourself: Goal Setting for Your Career
  • Take Your Next Step

Taught by

Diogo Resende, Travis Cuzick, Andrei Neagoie, Mo Binni, and Patrik Szepesi

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