Day 4 : Visualize Like a Pro: Master Data Plots with Matplotlib in Python
Unlock Your Potential with Power BI β Masterclass Internship! π Are you ready to turn raw data into actionable insights? Join this hands-on Power BI Masterclass Internship and gain expertise in data visualization, business intelligence, and interactive reporting. Whether you're a beginner or an advanced learner, this program is designed to equip you with skills that apply directly to real-world scenarios. πΌ Internship Value: βΉ2999/- π₯ Discounted Fee for You: βΉ799/- π Register Now: https://rzp.io/rzp/UEKpL1D What Youβll Gain: πΉ 30 Days of Expert Video Sessions (Recordings) π₯οΈ 30 Days of Presentations π 7+ Downloadable Project Codes π¬ VIP Community Group (Q&A + Updates) π IETE Internship Confirmation Letter π 90-Day LMS Course Access π Assignments & Tasks π Participation & Completion Certificates π What Youβll Learn (Key Modules): Module 1: Foundations of Power BI and Data Visualization Day 1: Introduction to Power BI Day 2: Python Data Structures Day 3: Data Visualization with Matplotlib Day 4: Data Visualization with Seaborn Day 5: Data Transformation Module 2: Netflix Dashboard Mastery Day 6: Netflix Dashboard Creation in Power BI Day 7: Creating New Measurements Day 8: Conditional Formatting Techniques Day 9: Sorting & Filtering Netflix Data Day 10: Using Power Query Editor for Netflix Module 3: IMDB Data Analysis Day 11: Visualizing IMDB Data Day 12: Column Selection Day 13: Decision-Making with IMDB Data Day 14: Data Conversion Techniques Day 15: IMDB Data Analysis with Query Editor Module 4: IPL Data Insights with Power BI Day 16: Comprehensive IPL Insights Dashboard Day 17: Grouping IPL Data Day 18: Visualizing Low-High Values in IPL Data Day 19: Applying Power Query to IPL Data Module 5: Project Development and Presentation Day 20: Final Project Development Day 21: Presentation of Your Project π Certificate Requirement: β Minimum 18 Days Attendance β Daily Attendance Form Submission π Need Help? WhatsApp: +91 8925533488 π§ Email: [email protected] π Donβt just learn data. Master it. Apply it. Lead with it.
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