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Our Courses
Data Analytics and Visualization Capstone Project
Accelerate the knowledge you gain from previous courses in the IBM Data Analyst Professional Certificate program. Assume the role of an Associate Data Analyst and use various skills and techniques on real-world datasets to accomplish a task.
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15
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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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Self Paced
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44
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English
Excel for Everyone: Data Analysis Fundamentals
Perform advanced data wrangling, analysis and dashboard visualization to help drive strategic decision-making.
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Self Paced
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English
Advanced Bioconductor
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
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Self Paced
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44
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English
Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
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Self Paced
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12
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English
Introduction to Digital Humanities
Develop skills in digital research and visualization techniques across subjects and fields within the humanities.
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35
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English
Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms
Learn more complex tree data structures, AVL and (2-4) trees. Investigate the balancing techniques found in both tree types. Implement these techniques in AVL operations. Explore sorting algorithms with simple iterative sorts, followed by Divide and Conquer algorithms. Use the course visualizations to understand the performance.
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English
Data Science with R - Capstone Project
In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role of a Data Scientist who has recently joined an organization and be presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets.
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Self Paced
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26 hours
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English
Data Science
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
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English
Applied Data Science with Python
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language.
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English
Python for Everybody
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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English
Data Analytics in the Public Sector with R
Every government entity collects and stores millions of data points to perform administrative and legislative duties, allocate resources, and make decisions. Professionals in the public sector need the necessary skills to accurately interpret and inform administrators and policymakers about the meaning behind these data. This Specialization will equip you with fundamental technical skills using the R programming language to gather, manipulate, analyze, visualize, and interpret data to inform public policy and public administrative functions.
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English
Business Intelligence and Competitive Analysis
American Airlines (AAL), one of the world’s largest airline group and a SP500 company, is in trouble. With the growth rate of its stock price ranked at the bottom of all major US airlines, AAL needs to find out its key problems, the root causes, and how to turn the company and its stock price around. Addressing the challenge faced by AAL may well be a large-scale management consulting project.
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Self Paced
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11 hours
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English
Value Chain Analysis and Visualization in Miro
By the end of this project, you will be able to support cost-effective product development by conducting a value chain analysis.
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3 hours
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English
AutoML tools for data science
By the end of this project, you will learn how to perform analysis on data using different python libraries and export reports and visualization without much hassle all this with minimal coding.
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Self Paced
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3 hours
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English
Analytics for Decision Making
The field of analytics is typically built on four pillars: Descriptive Analytics, Predictive Analytics, Causal Analytics, and Prescriptive Analytics. Descriptive analytics (e.g., visualization, BI) deal with the exploration of data for patterns, predictive analytics (e.g., data mining, time-series forecasting) identifies what can happen next, causal modeling establishes causation, and prescriptive analytics help with formulating decisions. This specialization focuses on the Prescriptive Analytics (the final pillar).
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English
IBM Data Science
Prepare for a career in the high-growth field of data science. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 4 months. No prior knowledge of computer science or programming languages is required. Data science involves gathering, cleaning, organizing, and analyzing data with the goal of extracting helpful insights and predicting expected outcomes.
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English
Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues
Work with the principles of data storage in Arrays, ArrayLists & LinkedList nodes. Understand their operations and performance with visualizations. Implement low-level linear, linked data structures with recursive methods, and explore their edge cases. Extend these structures to the Abstract Data Types, Stacks, Queues and Deques.
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English
Excel to MySQL: Analytic Techniques for Business
Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights.
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English
Business Intelligence con la Product Suite di Tableau
Questo corso è rivolto a tutti coloro che hanno maturato una conoscenza solida di Tableau. Dopo aver imparato a analizzare dati e costruire visualizzazioni è arrivato il momento di approfondire la conoscenza della Business Intelligence (BI) e andare oltre Tableau. La week 1 è dedicata alle Dashboard e alle Story.
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Self Paced
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25 hours
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Italian
Data Science and Analysis Tools - from Jupyter to R Markdown
This specialization is intended for people without programming experience who seek an approachable introduction to data science that uses Python and R to describe and visualize data sets. This course will equip learners with foundational knowledge of data analysis suitable for any analyst roles. In these four courses, you will cover everything from data wrangling to data visualization.
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English
Data Visualization in Excel: Build an Interactive Dashboard
In this 2-hour long project, you will create an interactive dashboard within Excel.
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Self Paced
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3 hours
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English
Exploratory Data Analysis for the Public Sector with ggplot
Learn about the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA). Learn analytical and technical skills using the R programming language to explore, visualize, and present data, with a focus on equity and the administrative functions of planning and reporting. Technical skills in this course will focus on the ggplot2 library of the tidyverse, and include developing bar, line, and scatter charts, generating trend lines, and understanding histograms, kernel density estimations, violin plots, and ridgeplots.
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Self Paced
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18 hours
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English
Social Determinants of Health: Health Care Systems
This third of five courses explores topics related to the social determinants of health and health care systems. This course will also focus on the relationship between the social determinants of health, mental health, substance abuse, and trauma. The topics of this course include: 1. Health Literacy 2. Mental Health & Substance Abuse 3. Violence, Conflict, and Trauma 4. Ethical Considerations for Health Systems and Data 5. Data Applications: Correlation Analysis and Heat Map Visualization
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Self Paced
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23 hours
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English
Data Warehousing for Business Intelligence
Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics. This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics.
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English