Complete Data Analyst Roadmap: From Beginner to Job-Ready

Last Update 12/01/2026
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About This Course

Complete Data Analyst Roadmap: From Beginner to Job-Ready is a practical, structured program designed to help learners build strong data analytics skills from scratch.

The course covers essential industry tools including Excel, SQL, Python, and Power BI, with a strong focus on hands-on learning and real-world projects. Learners will gain experience in data cleaning, analysis, visualization, database querying, and dashboard creation.

Through project-based learning in each tool, this course helps learners develop job-relevant skills and build a strong analytics portfolio. A bonus GitHub session guides learners in showcasing their projects professionally.

By the end of the course, learners will be equipped with the practical skills and confidence required to pursue Data Analyst roles, internships, or entry-level analytics positions.

Learning Objectives

Analyze and organize data efficiently using Excel formulas, pivot tables, and dashboards.
Write SQL queries to filter, aggregate, and analyze data from relational databases.
Work with real datasets to clean, transform, and prepare data for analysis.
Use Python fundamentals for data analysis and problem solving.
Perform data manipulation using NumPy and Pandas.
Create meaningful data visualizations using Matplotlib and Seaborn.
Build interactive dashboards and reports using Power BI.
Complete industry-oriented projects and build a job-ready analytics portfolio.

Material Includes

  • Stepwise Learning Modules
  • Certification of Completion

Requirements

  • Basic computer knowledge, such as managing files and installing software.
  • A computer (Windows/Mac/Linux) with stable internet access to run development tools.
  • No prior programming - you’ll learn from scratch.
  • Willingness to learn, practice, and complete hands-on assignments.

Target Audience

  • Students and fresh graduates who want to start a career in Data Analytics.
  • Working professionals looking to upskill or transition into a Data Analyst role.
  • Beginners with no prior experience in data analytics or programming.
  • Entrepreneurs and business professionals who want to analyze data to make better decisions.

Curriculum

29 Lessons21h 57m

Excel for Data Analysis

Excel for Data Analysis – Interface & Overview00:50:08Preview
Essential Excel Formulas (SUM, IF, COUNTIF, AVERAGE, etc.)00:48:34
Pivot Tables for Data Analysis00:40:28
LOOKUP and Indexing00:44:31
Conditional Formatting in Excel00:48:06
Charts & Data Cleaning Techniques00:42:22
Excel Project – Sales Dashboard with KPIs00:45:04

SQL for Data Analysis

Python for Data Analysis

Python Libraries for Data Analytics & Visualization

Power BI for Business Intelligence

Advanced Power BI & Dashboard Project

Bonus Module: Career & Portfolio Setup

Conclusion

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

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Your Instructors

Pluto Academy

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162 Students
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Course Poster

499.00999.00

50% off
Level
All Levels
Duration 22 hours
Lectures
29 lectures
Subject
Language
English

Material Includes

  • Stepwise Learning Modules
  • Certification of Completion

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