Day 18 : R script integration in Power BI, visuals layout

Data Analytics Masterclass – Become Job Ready with R + Power BI! Want to start your career in Data Analytics? This Masterclass will transform you from beginner to job-ready professional with hands-on projects, live coding & interactive dashboards. 💡 And if you want the full learning experience, join our Internship Program packed with premium benefits: ✨ 30 Days Recording Sessions ✨ 30 Days Presentations (Downloadable) ✨ 4+ Exclusive Project Codes ✨ VIP Community Group (Q&A + Updates) ✨ IETE Internship Confirmation Letter ✨ 180 Days of LMS Access ✨ Assignments & Tasks for Practice ✨ Internship Certificate + Report 👉 Limited Time Offer – Flat 80% OFF (Original ₹4999 → Now ₹999) Enroll Now: https://rzp.io/rzp/xKDQoZW 30-Day Data Analyst Masterclass – Skills to Job Ready (R + Power BI) Week 1 – Foundations & Excel Day 1 : Intro to Data Analytics Day 2 : Roles, career path, tools, and workflow Day 3 : Excel for Data Analysis Day 4 : Sorting, filtering, formulas, and functions Day 5 : Charts, PivotTables, Dashboards Day 6 : Dynamic visual insights and layout design Day 7 : Case Study: HR Attrition Dashboard Day 8 : Employee analysis with Excel pivot dashboard Week 2 – SQL & R Programming Basics Day 9 : SQL for Analysis (CRUD, Joins, Aggregates) Day 10 : SELECT, WHERE, GROUP BY, JOIN, Subqueries Day 11 : R Programming Basics + Dataframes with dplyr Day 12 : Variables, vectors, data frames, filtering, summaries Day 13 : Data Cleaning in R Day 14 : Handling missing data, outliers, string cleaning Week 3 – Visualization & Projects Day 15 : Data Visualization using ggplot2 and plotly Day 16 : Bar, line, scatter, histograms, boxplots, heatmaps Day 17 : Dashboard Building (Power BI / Tableau) Day 18 : R script integration in Power BI, visuals layout Day 19 : Project: Sales/Marketing Visual Report Day 20 : Using SQL + R + Power BI for insight generation Week 4 – ETL, Statistics & Career Prep Day 21 : ETL Overview (Theory + R Pipeline Demo) Day 22 : Extract, clean, transform, and visualize with R Day 23 : Key Statistical Methods for Analysts Day 24 : Descriptive stats, correlation, hypothesis testing Day 25 : Capstone Project: Multi-layered Dashboard Day 26 : Choose dataset (Retail/Finance/Healthcare) + Present findings Day 27 - 28 : Resume, Portfolio, LinkedIn, Interview Prep Day 29 - 30 : Final portfolio + GitHub repo + job-readiness session 🎓 By the end of this program, you’ll be job-ready with a strong portfolio, real-world dashboards, and skills in R + Power BI + SQL. Don’t just learn theory – build real projects and step into the world of Data Analytics! Join this channel to get access to all Videos:    / @pantechelearning   Pantech is excited to announce the launch Internship Program 📌Enroll Now: https://pantechelearning.com/internship/ Custom Academic Hardware Projects, Prototype, and Research Projects: https://forms.gle/6UVJRMETCSuWXhCr9 ___________________________________________________________________________ Subscribe to our channel for more educational content and hit the bell icon to get notified about our latest uploads. ► Subscribe:    / @pantechelearning   Connect with Pantech E-Learning on social media for the latest offers, promos, Free Events, and much more: ► Facebook:   / pantechelearning   ► Instagram:   / pantechelearning   ► LinkedIn:   / pantechelearning   ► Website: https://pantechelearning.com ► Twitter: https://x.com/PantecheLearn ► Telegram: https://t.me/pantechelearning Contact Us for any further Queries: Support -- +91 8925533488 / 89 Mail: training@pantechelearning.com Happy Learning! 😃