Certified Data Analyst Foundations Course

Master the core skills of data analysis using Excel, SQL, Python, and BI tools—no experience needed!

What you'll learn
- Understand the Fundamentals of Data Analysis
- Work with Data Using Industry Tools
- Apply Analytical Thinking to Real-World Problems
- Communicate Data-Driven Insights Clearly

Requirements
- No Prior Experience Needed
- Basic Computer Skills
- Access to a Laptop or Desktop

Description
Are you ready to launch your journey into the world ofdata analysis? Thiscomprehensive beginner-level courseis designed to equip you with thefundamental skillsandhands-on experienceneeded to succeed as aData AnalystorData Engineerin today’s data-driven world.

Through a step-by-step learning path, you’ll explore everything from thebasics of data types and sourcesto the more practical application ofcleaning,analyzing, andvisualizing data. You’ll start by understanding what aData Analystdoes and how their role supports business decision-making. Then, you'll dive into the fulldata analysis process, learning how to work with differentdata formats, performdata collection, and handle commondata quality issues.

You’ll work with popular tools such asMicrosoft Excel,SQL,Python (with Pandas), andvisualization toolslikePower BIandTableau. These tools are widely used in industry and will allow you to perform real-world tasks such asdata cleaning,data transformation,database querying, andinteractive dashboard creation.

In theExcelsection, you’ll master essential spreadsheet techniques includingformulas,pivot tables,sorting/filtering, andconditional formatting. You'll then move toSQL, where you’ll learn how to writebasic to intermediate queries, performJOINs,filtering,aggregations, and manipulate data withINSERT,UPDATE, andDELETEstatements.

Next, you’ll exploredata visualization and exploratory data analysis (EDA)using both Excel and business intelligence platforms. You’ll learn how tochoose the right chart, applydata storytelling techniques, and buildinteractive dashboardswithslicers,filters, anddrilldowns. These skills are crucial for presenting insights clearly and effectively to stakeholders.

The course also introduces you toPython for data analysis, focusing on thePandas library, along withbasic visualizations using Matplotlib and Seaborn. These tools are essential for those looking to transition into more technical roles or enhance their analytical capabilities.

Toward the end of the course, you’ll focus oncommunicating insightsthrough well-structuredpresentations,storytelling with data, and delivering findings tonon-technical stakeholders. These soft skills are just as important as technical ones in a successful data career.

Whether you're astudent,career switcher, orworking professionallooking to add data analysis to your skill set, this course is structured to help you succeed—even with no prior experience.

By the end of this course, you will:

Understand the role of adata analyst

UseExcel,SQL, andPythonto clean and analyze data

BuilddashboardsusingPower BIandTableau

Tell compellingdata storiesthat drive action

Enroll today and take the first step toward becoming ajob-ready data professionalwith the tools, techniques, and confidence to work with data in any industry.

Who this course is for:
- Students and recent graduates
- Professionals in non-technical roles
- Aspiring data analysts
- Freelancers or entrepreneurs
More Info