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Master SQL, Excel, Tableau, Power BI, and Python for data analysis. Gain practical skills through hands-on projects and build a professional portfolio to launch your career.
Learn to create visualizations, use calculated fields, build maps and graphs, perform joins, and complete a full project in this comprehensive beginner's guide to Tableau.
Discover how to leverage Amazon Athena for querying data directly from S3 buckets using SQL, making data analysis in AWS more efficient and cost-effective.
Learn essential SQL commands for data analysis: Select, From, Where, Group By, and Order By. Create tables, insert data, and prepare for intermediate SQL concepts.
Explore advanced SQL concepts like joins, unions, case statements, and data manipulation to enhance your database querying skills and data analysis capabilities.
Enhance SQL skills with CTEs, temp tables, string functions, stored procedures, and subqueries for advanced database management and analysis.
Comprehensive guide to building a data analyst portfolio through hands-on projects in SQL, Tableau, Python, and Excel, covering data exploration, visualization, cleaning, and analysis.
Master essential data analysis tools and skills across SQL, Excel, Tableau, Power BI, Python, and cloud platforms while building a professional portfolio and preparing for job interviews in tech.
Master AWS analytics tools through hands-on practice with S3 buckets, Athena queries, Glue data processing, and QuickSight visualizations - all essential skills for modern data analysis.
Master Azure analytics essentials through hands-on practice with storage accounts, SQL databases, Data Factory, and Synapse Analytics for building robust data solutions.
Master Power BI fundamentals through hands-on practice with data formatting, DAX calculations, interactive visualizations, and a complete project implementation for effective business intelligence reporting.
Master data visualization fundamentals in Tableau through hands-on practice with real datasets, from basic interface navigation to creating interactive dashboards and managing data relationships.
Master essential Excel skills from data cleaning to pivot tables, lookups, and conditional formatting through hands-on practice and a complete analytics project walkthrough.
Master essential Pandas operations for data analysis, from basic file handling to advanced data cleaning, manipulation, and visualization techniques - perfect for aspiring data analysts.
Master Python fundamentals from variables to web scraping, including hands-on projects like BMI calculator and data extraction. Perfect for beginners wanting practical programming skills.
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