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Data Science

Become a Data Analyst

Learn data analysis with Excel, SQL, Python, and Tableau. Build dashboards, analyze datasets, and make data-driven business decisions.

$39.99/month for LinkedIn Learning

Updated on March 9, 2026

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Why This Course?

Analyze data using Excel, SQL, and Python. Create interactive dashboards in Tableau. Perform statistical analysis. Make data-driven recommendations. Build a data analysis portfolio.

What You'll Learn

Excel data analysis and pivot tables, SQL for data querying and manipulation, Python for data science with pandas and numpy, Tableau visualization and dashboards, statistical analysis techniques, and real-world data projects.

Ideal Student

Business professionals wanting data skills, career changers entering data analysis, students preparing for data roles, or anyone interested in working with data.

Expected Outcome

Analyze data using Excel, SQL, and Python. Create interactive dashboards in Tableau. Perform statistical analysis. Make data-driven recommendations. Build a data analysis portfolio.

Course Format

Video courses with hands-on exercises

Course Curriculum

Path 1: Data Analysis Foundations (3 weeks)

  • Introduction to data analysis
  • Data analysis process and methodology
  • Excel fundamentals and formulas
  • Data visualization principles

Path 2: SQL for Data Analysis (4 weeks)

  • SQL basics: SELECT, WHERE, ORDER BY
  • Joins and subqueries
  • Aggregate functions and GROUP BY
  • Window functions and CTEs
  • Database design fundamentals

Path 3: Python for Data Analysis (6 weeks)

  • Python basics and data structures
  • NumPy for numerical computing
  • Pandas for data manipulation
  • Data cleaning and preparation
  • Exploratory data analysis

Path 4: Data Visualization (4 weeks)

  • Matplotlib and Seaborn
  • Tableau fundamentals
  • Creating dashboards
  • Storytelling with data
  • Best practices for visualizations

Path 5: Statistics for Data Analysis (5 weeks)

  • Descriptive statistics
  • Probability and distributions
  • Hypothesis testing
  • Correlation and regression
  • A/B testing

Path 6: Business Intelligence (3 weeks)

  • Power BI fundamentals
  • DAX formulas
  • Creating reports and dashboards
  • Data modeling

Path 7: Capstone Projects (4 weeks)

  • Real-world data analysis projects
  • Building your portfolio
  • Interview preparation
  • Job search strategies
Pros

Comprehensive career path covering all essential data analyst skills Hands-on projects with real datasets Learn industry-standard tools: SQL, Python, Tableau, Power BI Self-paced learning with structured curriculum Active community and mentor support Affordable subscription model

Cons

Requires 6-12 months to complete Subscription costs $49/month Limited live instruction compared to bootcamps

Instructor

LinkedIn Learning Instructors - Team of professional data analysts and educators including Jess Ramos (Data Analyst at Uber), Robin Hunt (Analytics Consultant), and other industry experts

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