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Our Courses
Data Visualization & Storytelling in Python
Hello everyone and welcome to this new hands-on project on data visualization and storytelling in python. In this project, we will leverage 3 powerful libraries known as Seaborn, Matplotlib and Plotly to visualize data in an interactive way. This project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.
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Course by
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Self Paced
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3 hours
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English
Create a Big Number KPI Dashboard in Tableau Public
Tableau is widely recognized as one of the premier data visualization software programs.
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Course by
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Self Paced
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2 hours
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English
Sales Reporting with HubSpot
In this course, you will use your business data and identify key metrics in order to report on sales with HubSpot’s dashboards. First, you will learn how to operate a data-driven business and how to audit, clean, and organize your data within HubSpot’s CRM. You will then learn to identify the key metrics used to analyze your data on sales and customer service success, within the stages of the Inbound Methodology. This will cover types of testing, using the Sales Hub tools, and reporting in each stage of the methodology.
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Course by
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Self Paced
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English
Visualizing Data in the Tidyverse
Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what’s going on in the data set. Similarly, once you’ve completed your analysis and are ready to present your findings, data visualizations are a highly effective way to communicate your results to others.
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Course by
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Self Paced
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17 hours
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English
Getting Started with Data Warehousing and BI Analytics
Kickstart your Data Warehousing and Business Intelligence (BI) Analytics journey with this self-paced course. You will learn how to design, deploy, load, manage, and query data warehouses and data marts. You will also work with BI tools to analyze data in these repositories.
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Course by
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Self Paced
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17 hours
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English
Data Visualization with Plotly Express
Welcome to this project-based course on Data Visualization with Plotly Express. In this project, you will create quick and interactive data visualizations with Plotly Express: a high-level data visualization library in Python inspired by Seaborn and ggplot2. You will explore the various features of the in-built Gapminder dataset, and produce interactive, publication-quality graphs to augment analysis. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser.
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Course by
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Self Paced
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3 hours
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English
COVID19 Data Visualization Using Python
By the end of this project, you will learn How you can use data visualization techniques to answer to some analytical questions.
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Course by
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Self Paced
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2 hours
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English
Master the Art of Data Visualization With Tableau Public
Tableau is widely recognized as one of the premier data visualization software programs.
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Course by
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Self Paced
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3 hours
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English
Data Visualization using dplyr and ggplot2 in R
Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R. By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset.
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Course by
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Self Paced
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3 hours
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English
Fundamentals of Data Visualization
Data is everywhere. Charts, graphs, and other types of information visualizations help people to make sense of this data. This course explores the design, development, and evaluation of such information visualizations. By combining aspects of design, computer graphics, HCI, and data science, you will gain hands-on experience with creating visualizations, using exploratory tools, and architecting data narratives.
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Course by
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Self Paced
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15 hours
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English
Plots Creation using Matplotlib Python
By the end of this project, you will be able to add the data in the CSV file to Pandas data frame, plot the graph, and set marker type and color. You will also be able to apply labels, change font size, add grid lines and legends. Finally, you will be able to create the boxplot and save the graph as an image using the matplotlib and seaborn libraries, which are the most important libraries in python that are used for Data Visualization. You can create bar-plots, scatter-plots, histograms, and a lot more with them. This guided project is for people in the field of data and data analysis.
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Course by
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Self Paced
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3 hours
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English
Geospatial Data Visualization using Python and Folium
In this project, we are going to learn how to process and analyze geospatial data.
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Course by
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Self Paced
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3 hours
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English
Principal Component Analysis with NumPy
Welcome to this 2 hour long project-based course on Principal Component Analysis with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals.
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Course by
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Self Paced
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3 hours
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English
Visualize Financial Data In Tableau
Tableau is widely recognized as one of the premier data visualization software programs.
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Course by
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Self Paced
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2 hours
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English
Exploratory vs Confirmatory data analysis using Python
This Guided Project, Exploratory and Confirmatory Data Analysis using python, is for those who want to learn about different methods of data analysis. In this 2-hour-long project-based course, you will understand and apply Exploratory Data Analysis, build different Data visualizations, apply different exploration techniques based on the data at hand and define and understand the concept of Confirmatory Data Analysis. This project is unique because you will learn how and where to start your data exploration.
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Course by
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Self Paced
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2 hours
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English
Assessment for Data Analysis and Visualization Foundations
This course is the final step in the Data Analysis and Visualization Foundations Specialization. It contains a graded final examination that covers content from three courses: Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos. From the Introduction to Data Analytics course, your understanding will be assessed on topics like the data ecosystem and the fundamentals of data analysis, covering tools for data gathering and data mining.
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Course by
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Self Paced
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1 hour
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English
MLOps Platforms: Amazon SageMaker and Azure ML
In MLOps (Machine Learning Operations) Platforms: Amazon SageMaker and Azure ML you will learn the necessary skills to build, train, and deploy machine learning solutions in a production environment using two leading cloud platforms: Amazon Web Services (AWS) and Microsoft Azure.
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Course by
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Self Paced
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13 hours
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English
Data Analysis Using Python
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization.
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Course by
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Self Paced
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17 hours
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English
Data Analysis with Python
Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models.
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Course by
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Self Paced
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15 hours
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English
Data Visualization Capstone
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports.
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Course by
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Self Paced
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22 hours
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English
Create Geovisualizations in Tableau
Tableau is widely recognized as one of the premier data visualization software programs.
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Course by
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Self Paced
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3 hours
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English
Empathy and Data in Risk Management
Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course focuses on the process of managing enterprise risk, in which understanding both data and stakeholder enriches each step. The course introduces the three lines of defense, tools to identify and assess risks, risk responses, key risk indicators, and risk reporting.
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Course by
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Self Paced
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16 hours
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English
Data Analysis with Python Project
The "Data Analysis Project" course empowers students to apply their knowledge and skills gained in this specialization to conduct a real-life data analysis project of their interest. Participants will explore various directions in data analysis, including supervised and unsupervised learning, regression, clustering, dimension reduction, association rules, and outlier detection. Throughout the modules, students will learn essential data analysis techniques and methodologies and embark on a journey from raw data to knowledge and intelligence.
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Course by
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Self Paced
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18 hours
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English
Tools for Exploratory Data Analysis in Business
This course introduces several tools for processing business data to obtain actionable insight. The most important tool is the mind of the data analyst. Accordingly, in this course, you will explore what it means to have an analytic mindset. You will also practice identifying business problems that can be answered using data analytics. You will then be introduced to various software platforms to extract, transform, and load (ETL) data into tools for conducting exploratory data analytics (EDA).
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Course by
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Self Paced
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19 hours
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English
Getting Started with Data Visualization in R
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports.
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Course by
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Self Paced
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12 hours
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English