riversongs Posted Thursday at 02:05 AM Report Share Posted Thursday at 02:05 AM Free Download Udemy - Complete Data Analyst Masterclass 2025Published: 4/2025Created by: M DarwishMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChLevel: All | Genre: eLearning | Language: English | Duration: 75 Lectures ( 5h 32m ) | Size: 1.93 GBBecome a Job-Ready Data Analyst: Learn Excel, SQL, Python, and Power BIWhat you'll learnLearn Excel, SQL, Python, and Power BI - the most in-demand tools every data analyst must know.Build a portfolio with real datasets, solving real business problems to impress recruiters and employers.Create stunning, interactive Power BI dashboards to communicate insights like a pro.Unlock Excel's full potential with advanced techniques, from PivotTables to automation with Power Query.Go from writing your first query to mastering complex joins, and database design.Analyze, visualize, and transform data with Python libraries like Pandas and Matplotlib - even if you're a beginner.RequirementsNo Requirement, it's from Scratch to HeroDescriptionMaster Data Analytics and Become Job-Ready in 2025This course is designed to take you from a beginner to a highly skilled data analyst, equipped with the most in-demand skills and tools used by top companies. Led by Darwish, an instructor with over 50,000 students worldwide, this masterclass provides hands-on projects, real-world case studies, and practical training to help you succeed in the field of data analytics.What You'll Learn in This CourseMaster Data Analytics from Scratch - Learn how to clean, analyze, and visualize data.Work with Python & SQL for Data Analysis - Query databases, manipulate data, and extract insights.Create Interactive Power BI Dashboards - Build compelling visualizations and business reports.Data Cleaning & Preprocessing - Handle missing data, detect outliers, and optimize datasets.Statistical & Predictive Analysis - Apply core statistical concepts and forecasting techniques.Introduction to Machine Learning for Analysts - Learn predictive modeling and AI-driven insights.Real-World Data Projects & Case Studies - Work with datasets from finance, healthcare, marketing, and e-commerce.Interview Prep & Career Guidance - Resume-building, job interview strategies, and networking tips.Why Take This Course?Taught by Darwish - A top-rated instructor with extensive industry experience and 50K+ students.Practical and Job-Oriented - Focused on real-world projects, not just theory.Industry-Relevant Training - Learn how professional analysts solve business problems.Career-Focused Learning - Build a strong portfolio and gain the confidence to land a high-paying job.Who Is This Course For?Beginners who want to transition into a data analytics career.Business professionals looking to enhance their data skills.Aspiring data scientists who need a strong analytics foundation.Anyone who wants to master data analysis and secure a job in the field.The demand for data analysts is growing rapidly. Take the next step in your career and gain the skills needed to succeed in the data-driven world.Enroll now and start your journey to becoming a Data Analyst in 2025!Who this course is for Aspiring Data AnalystsWorking ProfessionalsBusiness ProfessionalsData-Driven ThinkersHomepage: https://www.udemy.com/course/complete-data-analyst-masterclass-2025_darwish/AusFilehttps://ausfile.com/uary7rxxzeqz/agrjg.Complete.Data.Analyst.Masterclass.2025.part1.rar.htmlhttps://ausfile.com/gvvhspgd8pil/agrjg.Complete.Data.Analyst.Masterclass.2025.part2.rar.htmlRapidgator Links Downloadhttps://rg.to/file/61998b5ec7d66fed715807bfd69b5012/agrjg.Complete.Data.Analyst.Masterclass.2025.part1.rar.htmlhttps://rg.to/file/e2d7d9256713ac67d6de4bc277823a86/agrjg.Complete.Data.Analyst.Masterclass.2025.part2.rar.htmlFikper Links Downloadhttps://fikper.com/dqrBBwxa9B/agrjg.Complete.Data.Analyst.Masterclass.2025.part1.rar.htmlhttps://fikper.com/WpIduUuw7j/agrjg.Complete.Data.Analyst.Masterclass.2025.part2.rar.htmlNo Password - Links are Interchangeable Link to comment Share on other sites More sharing options...
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