Becoming a Junior Data Analyst is one of the most accessible and fast-growing career paths in today’s digital economy, and this course gives you everything you need to enter the field with confidence. Designed for beginners and career-changers, this program builds a strong foundation in analytical thinking, problem-solving, and technical execution—skills employers actively seek when hiring entry-level analysts.
Throughout the course, learners will explore real business workflows and develop hands-on experience across essential tools such as Excel, Google Sheets, SQL, Python, and modern visualization platforms. You’ll learn how to clean and transform raw data, analyze patterns, create dashboards, and communicate insights clearly and effectively. Each module focuses on practical, job-ready skills that reflect what Junior Data Analysts use every day in the workplace.
You will also discover how businesses rely on metrics, KPIs, datasets, and data-driven decision-making. Through guided lessons and structured exercises, you’ll understand how to handle common challenges like inconsistent data, missing values, database queries, and the creation of charts and reports. By the end, you will be able to turn messy data into meaningful insights that support business outcomes.
A dedicated portfolio module helps you build your first professional analytics projects, including dashboards, SQL workflows, spreadsheet analysis, and Python visualizations. You will learn how to document your work, present results, and showcase your skills to employers on platforms such as LinkedIn and GitHub.
Whether you are a job seeker, student, professional switching careers, or business owner looking to understand data, this course provides the complete roadmap to becoming a confident and competitive Junior Data Analyst ready for the job market.
Curriculum
- 6 Sections
- 18 Lessons
- 4 Weeks
- Introduction to Data AnalysisThis section introduces the fundamental concepts of data analysis and the role of a Junior Data Analyst.4
- Data Cleaning TechniquesIn this section, learners will understand and apply various data cleaning techniques to prepare datasets for analysis.4
- Fundamentals of SQLThis section introduces learners to SQL, focusing on querying databases and extracting useful information.4
- Introduction to Python for Data AnalysisLearners will be introduced to Python programming and its applications in data analysis and manipulation.4
- Data Visualization TechniquesEncapsulates the importance and implementation of data visualization in effective analytics.4
- Building Your Analytics PortfolioThis section focuses on how to compile and present your work in a professional analytics portfolio.4
Instructor
I’m Rodrigo Durães, founder of CareersForge — the world’s leading career platform — and recognized as one of the most comprehensive and experienced career and life coaches globally. With multiple academic degrees from the world’s top universities and over two decades of experience as a CEO, my mission is clear: to help people unlock their full professional potential through honest, strategic, and proven content.
