Data Analysis courses

4.46

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,”...

4.9

Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how...

4.83

D​escribe different types of data analytic questionsConduct hypothesis tests of your dataA​pply linear modeling techniques to answer multivariable questionsA​pply machine learning workflows to detect complex patterns in your data

3.56

Project structure of interactive Python data applicationsPython web server frameworks: (e. g. ) Flask, Django, DashBest practices around deploying ML models and monitoring performanceDeployment scripts, serializing models, APIs

4.95

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....

4.72

Make use of unicode characters and stringsUnderstand the basics of building a search engineSelect and process the data of your choiceCreate email data visualizations

4.75

Explain what Data Analytics is and the key steps in the Data Analytics process. Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst. Describe the...

RNA-Seq is an exciting next-generation sequencing method used for identifying genes and pathways underlying particular diseases or conditions. As high-throughput sequencing becomes more affordable and accessible to a wider community of researchers,...

Why Learn R? R is a widely used statistical programming language that’s beloved by users in academia and industry. R works well with data, making it a great language for anyone interested in data analysis,...

4.75

The Capstone project will allow you to continue to apply and refine the data analytic techniques learned from the previous courses in the Specialization to address an important issue in society. You will use real...

4.24

Understand how text is handled in PythonApply basic natural language processing methodsWrite code that groups documents by topicDescribe the nltk framework for manipulating text

4.44

Examine and improve an ineffective visualization Examine and improve an ineffective visualization Apply visualization best practices Create and design visualizations that work best for the target audience

4.66

One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful...

4.66

This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization...

This course provides a comprehensive introduction to working with base graphics in R.

4.29

This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profilin...

4.1

Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres...

Time series data is fun, but challenging. When ordering matters, your datasets get large, and timestamp precision differences can foil your merges, building reliable data processing pipelines requires a principled approach with the right tools....

What powers the systems that we use every day without realizing, like fraud detection to keep our transactions secure or traffic signals that keep traffic flowing smoothly? The answer is streaming data (data that is...

4.63

In this course you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of...