Day 3 : Excel for Data Analysis

Описание: 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!

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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
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