So, you want to level up your data visualization skills and turn those mind-numbing numbers into eye-catching graphics? Well, you've come to the right place! In this article, we're going to explore some of the coolest data visualization courses out there. Whether you're a seasoned pro looking to fine-tune your skills or a complete newbie, Let’s jump right in:
Level: Beginner
Duration: Approx. 6 Month (3 hours/week)
Fee: Free to audit only upgrade for certificates, Financial aid also available
What you’ll learn: Storyboarding, Maps, Tableau software, Data Viz
About the course: If you're new to data visualization, this Specialization with Tableau is perfect for you. It'll show you the ropes and best practices using Tableau's resources. You'll learn to create powerful reports and dashboards, make data-driven decisions, and even tackle predictive analytics. The cherry on top is a Capstone Project where you'll showcase your skills to top executives.
Link: Here.
Level: Beginner
Duration: Approx. 9 hours
Fee: Free to audit only upgrade for certificates, Financial aid also available
What you’ll learn: Microsoft Excel, Data Analysis, Data Visualization (DataViz), IBM Cognos Analytics, Dashboard
About the course: This course is all about telling captivating stories with your data, and the best part? No coding required! You'll start by mastering the basics of data visualization in Excel, creating charts like lines, pies, and bars. Then, You'll take it up a notch with cool visualizations like Treemaps, Scatter Charts, Histograms, Filled Map Charts, and Sparklines.
But that's not all! You'll also dive into business intelligence tools like Cognos Analytics to create interactive dashboards. By the end of the course, you'll understand the power of data visualizations in conveying your analysis and have the skills to create them like a pro.
With hands-on labs and a final project where you'll build a portfolio-worthy set of visualizations and an interactive dashboard, you'll be ready to impress peers, communities, and potential employers.
Link: Here.
Level: Beginner
Duration: Approx. 6 weeks (3 hours/week)
Fee: Free to audit only upgrade for certificates
What you’ll learn: Google Sheets, Tableau, High charts, Carto, Leaflet, GitHub
About the Course: In this course, you'll learn how to create interactive charts and personalized maps for your website. You'll start with easy-to-use tools and gradually dive into editing code templates on GitHub. You'll follow step-by-step tutorials with video screencasts and share your work for feedback online. Gain inspiration from real-world examples of Trinity College students collaborating with community organizations in Hartford, Connecticut. Whether you're a non-profit, small business owner, journalist, academic, or just want to showcase your data, this course is perfect for you. No prior experience needed!
Link: Here.
Skill Level: Intermediate Level
Duration: 16 Weeks
Fee: Free to start only upgrade for certificates
What you’ll learn: Data visualization, Data Preprocessing, Data Processing, Logistic Regression, Linear Regression , Regularization, Provides hands-on experience of The R Programming Language, R Programming Syntax, R Programming and Data Structures
About This Course :
Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data.This course will introduce students to the field by covering state-of-the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language.
Link: here
Level: Beginner to Intermediate Level
Duration : 8 weeks long
Fee: Free to audit only upgrade for certificates
What you’ll learn: Data visualization principles, Use of ggplot2 to create custom plots, Communicate data-driven findings, Exploratory data analysis, etc.
About This Course : This course covers the basics of data visualization and exploratory data analysis for the Professional Certificate Program in Data Science.The course will use ggplot2, a data visualization package for the statistical programming language R, to explore three motivating examples. The course will start with simple datasets and then move on to case studies about world health, economics, and infectious disease trends in the United States.
The course will cover the importance of handling data with care due to mistakes, biases, systematic errors, and other unexpected problems that can occur within datasets. The course emphasizes the growing reliance on data visualizations across various fields, highlighting its ability to communicate data-driven findings, motivate analyses, and detect flaws.By the end of the course, learners will acquire the necessary skills to leverage data to reveal valuable insights and advance their careers.
Link: Here
In conclusion, these five courses for data visualization offer a wealth of knowledge and practical skills to help you excel in the field. Whether you choose the Data Visualization with Tableau Specialization, Data Visualization and Dashboards with Excel and Cognos, Data Visualization for all, Data Visualization Tips and Tricks, or Microsoft Excel - Data Visualization, Excel Charts & Graphs, each course caters to different skill levels and provides a unique learning experience.
By enrolling in these courses, you'll gain hands-on experience through projects, practical exercises, and real resources and instructor guidance that will enhance your learning journey. Moreover, the flexibility of these courses allows you to learn at your own pace, making it convenient for both busy professionals and enthusiastic learners.
We at Alphaa AI are on a mission to tell #1billion #datastories with their unique perspective. We are the community that is creating Citizen Data Scientists, who bring in data first approach to their work, core specialisation, and the organisation.With Saurabh Moody and Preksha Kaparwan you can start your journey as a citizen data scientist.
