Coursera

Use Tableau for your Data Science Workflow (Coursera)

Offered by Edureka,
Use Tableau for your Data Science Workflow (Coursera)

Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Uplift your expertise with advanced visualizations, mastering heatmaps, tree maps, and geographical mapping. Boost your career with our comprehensive Tableau training. Unlock the power of data visualization with our Tableau course.
This course provides an introduction to Tableau, a powerful data visualization tool, and its integration with fundamental data science concepts. Participants will gain hands-on experience in connecting to various data sources, creating insightful visualizations, and building interactive dashboards. Additionally, the course explores the synergy between Tableau and data science tools, empowering participants to leverage advanced analytics capabilities within the Tableau environment.
By the end of this course, you will be able to:

  • Create foundational visualizations (bar charts, line charts, scatter plots).
  • Learn effective data visualization practices.
  • Connect to various data sources and perform basic data preparation.
  • Explore advanced chart types and geographic mapping.
  • Customize visualizing for specific insights.

This comprehensive short course is tailored for Beginners, Data Scientists, Business Analysts, and Data Engineers eager to delve into the world of data visualization and analysis using Tableau.
Previous experience with data analysis tools and basic understanding of data science concepts are beneficial but not essential for this course.
Embark on an insightful journey to master Tableau for Data Science workflows, learning how to effectively visualize, analyze, and glean insights from large datasets.

Syllabus

Data Exploration and Visualization with Tableau in Data Science
This module is meticulously designed to empower participants with essential skills in data exploration and visualization using Tableau within the dynamic realm of data science. Participants will learn cutting-edge data visualization techniques, positioning themselves as adept practitioners in advanced analytics.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Sep 14th 2026
4 Weeks
Programming Python Machine Learning
Details
Experimentation for Improvement (Coursera) Coursera
McMaster University

Experimentation for Improvement (Coursera)

Statistics & Data Analysis Data Science

We are always using experiments to improve our lives, our community, and our work. Are you doing it efficiently? Or are you (incorrectly) changing one thing at a time and hoping for the best? In this course, you will learn how to plan efficient experiments - testing with many variables. Our goal is to find the best results using only a few experiments. A key part of the course is how to optimize a system.

Sep 14th 2026
5-12 Weeks
Statistics Data Science Regression Models
Details
Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera) Coursera
IBM

Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera)

Data Science

An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work as developed by IBM Research.

Sep 14th 2026
4 Weeks
Python Artificial Intelligence Prototyping
Details
Data Governance with Databricks (Coursera) Coursera
Whizlabs

Data Governance with Databricks (Coursera)

CS: Software Engineering

Databricks is a cloud-based data engineering tool used to process and transform large amounts of data and explore the data through machine learning models. It combines data warehouses & data lakes into a lakehouse architecture. Data governance is a broad approach that comprises the principles, practices, and tools to manage an organization’s data assets throughout its lifecycle. A data governance strategy allows organizations to make data easily available protecting their data from unauthorized access, and ensuring compliance with regulatory requirements.

Sep 14th 2026
4 Weeks
Data Warehouse Data Governance AWS
Details
Foundations of Data Science: K-Means Clustering in Python (Coursera) Coursera
University of London,Goldsmiths, University of London

Foundations of Data Science: K-Means Clustering in Python (Coursera)

Data Science

This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks.

Sep 7th 2026
5-12 Weeks
Programming Python Machine Learning
Details
Data Ingestion, Exploration & Visualization in Qlik Sense (Coursera) Coursera
Coursera Instructor Network

Data Ingestion, Exploration & Visualization in Qlik Sense (Coursera)

Statistics & Data Analysis Data Science

This course is an intermediate-level course designed for learners who want to continue their data visualization journey with Qlik Sense, a powerful sophisticated Business Intelligence tool. Data preparation and ingestion is a key prerequisite for data visualization, and this course not only dives deep into that concept, but other important intermediate topics such as filters, expressions, and personalization.

Sep 14th 2026
1 Week
Data Modeling Visualization Data Visualization
Details
Machine Learning Introduction for Everyone (Coursera) Coursera
IBM

Machine Learning Introduction for Everyone (Coursera)

Data Science

This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more.

Sep 14th 2026
3 Weeks
ML Artificial Intelligence Machine Learning
Details
Julia Scientific Programming (Coursera) Coursera
University of Cape Town

Julia Scientific Programming (Coursera)

Statistics & Data Analysis Data Science

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more.

Sep 14th 2026
4 Weeks
IPython Data Analysis Computer Programming
Details
Excel Essentials and Beyond (Coursera) Coursera
Board Infinity

Excel Essentials and Beyond (Coursera)

Statistics & Data Analysis

Dive into "Excel Essentials and Beyond", a comprehensive exploration of Excel, the world's leading spreadsheet tool. This course is thoughtfully crafted for both newcomers to Excel and also for those aiming for mastery. We begin by introducing Excel's robust interface and foundational features, ensuring a firm grasp of data organization techniques. As you advance, you'll delve into data visualization, transforming raw data into captivating stories.

Sep 14th 2026
5-12 Weeks
Excel Microsoft Excel Data Visualization
Details
Introduction to Data Visualization in Qlik Sense (Coursera) Coursera
Coursera Instructor Network

Introduction to Data Visualization in Qlik Sense (Coursera)

Statistics & Data Analysis Data Science

Data visualization is especially important today with the increased amount and velocity of data that companies capture daily, and a system is needed to ingest and make sense of all this data for improved decision-making. This course provides a comprehensive understanding of data visualization within the context of business intelligence.

Sep 14th 2026
1 Week
Visualization Data Visualization Coursera Plus
Details