Coursera - Python, Sql, Tableau For Data Science Professional Certificate
Released 10/2025
By Professionals from the Industry
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 72 Lessons ( 5h 25m ) | Size: 2.1 GB
Build a Complete Data Science Skillset. Gain hands-on experience with industry-standard tools like Python, SQL, Tableau, Excel, and AWS.
What you'll learn
Leverage SQL to extract actionable insights from complex databases to drive strategic business decisions.
Automate data workflows and discover hidden patterns using industry-standard programming tools like Python.
Craft compelling data narratives that captivate stakeholders and drive impactful action using Tableau's dynamic visualization capabilities.
Predict future trends and automate data-driven decisions with AWS's cutting-edge machine learning platform.
Skills you'll gain
Feature Engineering
Database Management
Matplotlib
Unsupervised Learning
Data Storytelling
Data Analysis
Machine Learning
Interactive Data Visualization
Database Design
Data Visualization
A/B Testing
Data Visualization Software
Tableau Software
Exploratory Data Analysis
Data Presentation
SQL
Tools you'll learn
Pandas (Python Package)
Python Programming
Dashboard
AWS SageMaker
Move beyond spreadsheets and build a strong foundation in modern data science. The Python, SQL, Tableau for Data Science Professional Certificate is a hands-on, beginner-friendly program that helps you develop practical skills using essential tools: SQL, Python, Microsoft Excel, Tableau, and AWS Machine Learning. Designed as an accessible, industry-agnostic starting point, the program supports learners who want to explore data science or build skills from the ground up.
You'll progress through the full data science workflow-learning how to collect, clean, analyze, and visualize data. You'll manage and query structured data with SQL, automate tasks and perform analysis using Python, organize and model data in Excel, design dashboards in Tableau, and explore machine learning concepts with AWS tools. You'll also practice integrating AI and optimizing data processes, while applying ethical and efficient data handling practices.
Through real-world, hands-on projects, you'll apply your skills to solve practical data challenges and build a portfolio that highlights your experience. This includes SQL analyses, Python scripts, Excel-based models, Tableau dashboards, and basic AWS machine learning applications. By the end of the program, you'll have gained confidence with core industry tools and developed transferable skills that apply across fields like finance, healthcare, marketing, and operations, equipping you to support data-informed decision-making in any career path.
Applied Learning Project
Throughout this certificate, you'll tackle real-world challenges through hands-on projects that build progressively
• Transform retail data using SQL and GitHub version control, creating AI-assisted analysis reports and maintaining documentation
• Build machine learning solutions with AWS SageMaker, implementing feature engineering, automated data pipelines, and predictive modeling with AI documentation
• Design interactive business intelligence dashboards with advanced calculations, real-time updates, and AI-enhanced data narratives
• Complete a capstone project combining SQL analysis, cloud ML, interactive visualizations, and stakeholder presentations
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