Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
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
Stakeholder Outreach: Effective Communication of Complex Environmental Threats
Learn how to engage communities through powerful storytelling, data visualization, and persuasive presence to motivate action on complex environmental projects.
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Course by
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Self Paced
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10
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English
Storytelling and Persuading using Data and Digital Technologies
Learn how to gain traction for your digital transformation initiatives with stories based on data that use compelling data visualizations to build a persuasive business case.
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Course by
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Self Paced
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10
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English
MATLAB Essentials
Master the essentials of data visualization, data analysis, programming, and app design interactively with MATLAB.
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Course by
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6
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English
Data Visualization and Building Dashboards with Excel and Cognos
Build the fundamental knowledge necessary to use Excel and IBM Cognos Analytics to create data visualizations and to create dashboards containing those visualizations to help tell a lucid story about data.
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Course by
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28
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English
Visualizing Data with Python
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
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Course by
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28
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English
MATLAB and Octave for Beginners
Learn MATLAB and Octave and start experimenting with matrix manipulations, data visualizations, functions and mathematical computations.
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Course by
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Self Paced
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44
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English
Data Visualization with Tableau
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling.
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Course by
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Self Paced
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English
Analyze Digital Marketing Spend 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
Accounting Data Analytics
This specialization develops learners’ analytics mindset and knowledge of data analytics tools and techniques. Specifically, this specialization develops learners' analytics skills by first introducing an analytic mindset, data preparation, visualization, and analysis using Excel. Next, this specialization develops learners' skills of using Python for data preparation, data visualization, data analysis, and data interpretation and the ability to apply these skills to issues relevant to accounting.
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Course by
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Self Paced
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English
IBM Data Analytics with Excel and R
Prepare for the in-demand field of data analytics. In this program, you’ll learn high valued skills like Excel, Cognos Analytics, and R programming language to get job-ready in less than 3 months. Data analytics is a strategy-based science where data is analyzed to find trends, answer questions, shape business processes, and aid decision-making. This Professional Certificate focuses on data analysis using Microsoft Excel and R programming language.
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Course by
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Self Paced
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English
Data Mining
The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science.
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Course by
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Self Paced
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English
MATLAB Programming for Engineers and Scientists
This Specialization is designed for learners with little to no programming experience and teaches them to create MATLAB programs that solve real-world engineering and scientific problems. While the focus is on general computer programming principles, the courses also provide in-depth coverage of MATLAB's unique features for engineering and scientific computing. The first course covers basic programming concepts. The second course teaches techniques for using ChatGPT to program more productively.
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Course by
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Self Paced
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English
Mining Quality Prediction Using Machine & Deep Learning
In this 1.5-hour long project-based course, you will be able to: - Understand the theory and intuition behind Simple and Multiple Linear Regression. - Import Key python libraries, datasets and perform data visualization - Perform exploratory data analysis and standardize the training and testing data. - Train and Evaluate different regression models using Sci-kit Learn library. - Build and train an Artificial Neural Network to perform regression. - Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, and adjusted R2. - Assess the performance of regressio
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Course by
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Self Paced
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2 hours
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English
Data Visualization & Dashboarding with R
This Specialization is intended for learners seeking to develop the ability to visualize data using R. Through five courses, you will use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences.
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Course by
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Self Paced
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English
Interactive Geospatial Visualization:Kepler GL & Jupyter Lab
In this 1-hour long project-based course, you will learn how to easily create beautiful data visualization with Kepler inside Jupyter Notebooks and effectively design different geospatial data visualizations.
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Course by
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Self Paced
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4 hours
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English
Data Literacy
This specialization is intended for professionals seeking to develop a skill set for interpreting statistical results. Through four courses and a capstone project, you will cover descriptive statistics, data visualization, measurement, regression modeling, probability and uncertainty which will prepare you to interpret and critically evaluate a quantitative analysis.
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Course by
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Self Paced
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English
Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
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Course by
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Self Paced
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12
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English
Responsive Website Development and Design
Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet. This Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework.
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Course by
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Self Paced
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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 Power BI: Storytelling with Data
Data is the new lifeblood of business and visualization has emerged as the common language.
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Course by
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Self Paced
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2 hours
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English
Building Data Visualization Tools
The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks.
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Course by
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Self Paced
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13 hours
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English
Time Series Data Visualization And Analysis Techniques
By the end of this project we will learn how to analyze time series data. We are going to talk about different visualization techniques for time series datasets and we are going to compare them in terms of the tasks that we can solve using each of them. Tasks such as outlier detection, Key moments detection and overall tren
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Course by
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Self Paced
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3 hours
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English