Data Analysis courses

4.58

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences,...

This course will provide you an understanding of how to use built-in PostgreSQL functions in your SQL queries to manipulate different types of data including strings, character, numeric and date/time. We'll travel back to a...

4.12

D​istinguish between tidy and non-tidy dataDescribe how non-tidy data can be transformed into tidy dataD​escribe the Tidyverse ecosystem of packagesO​rganize and initialize a data science project

Take your reporting skills to the next level with Tableau’s built-in statistical functions. Using drag and drop analytics, you'll learn how to perform univariate and bivariate exploratory data analysis and create regression models to spot...

The field of biomedical imaging has exploded in recent years - but for the uninitiated, even loading data can be a challenge! In this introductory course, you'll learn the fundamentals of image analysis using NumPy,...

4.76

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

4.56

Ingest, transform, and query data to extract valuable insights. Leverage existing SQL skills to start working with Apache Spark.

Take your Tableau skills up a notch with advanced analytics and visualizations. In this course, you’ll learn how to create detail-rich map visualizations, configure date and time fields to show trends over time, and extend...

Do you want to make beautiful, informative visualizations with ease? If so, then you must learn seaborn! Seaborn is a visualization library that is an essential part of the python data science toolkit. In this...

In the real world, data sets typically come split across many tables while most data analysis functions in R are designed to work with single tables of data. In this course, you'll learn how to...

4.7

Use different tools to browse existing databases and tables in big data systemsUse different tools to explore files in distributed big data filesystems and cloud storageCreate and manage big data databases and tables using Apache...

Visualization is an essential component of interactive data analysis in R. Traditional (base) graphics is powerful, but limited in its ability to deal with multivariate data. Trellis graphics is the natural successor to traditional graphics,...

4.71

Use dimensions, measures, filters, and pivots to analyze and visualize dataCreate advanced metrics instantaneously with table calculationsCreate and share visualizations using Looks and dashboardsUtilize folders and boards in Looker to manage and org...

4.53

Create bar charts, histograms, pie charts, scatter plots, line graphs, box plots, and maps using R and related packages. Design customized charts and plots using annotations, axis titles, text labels, themes, and faceting. Create maps...

4.53

Describe the use of data visualizations to talk about data and the results of data analysisIdentify Tableau as a data visualization tool and understand its usesExplain what data driven stories are including reference to their...

Why Learn BI Dashboards with Microsoft Power BI? If you’re a Data and BI analyst, you don’t only need to make sense of data — you need to communicate your findings effectively to stakeholders. Business...

4.5

Describe the importance of data visualization. Relate the history of Matplotlib and its architecture. Apply Matplotlib to create plots using Jupyter notebooks. Discover how to read CSV files into a Pandas DataFrame; process and manipulate...

4.75

Distinguish operational from analytic databases, and understand how these are applied in big dataUnderstand how database and table design provides structures for working with dataAppreciate how differences in volume and variety of data affects your...

4.7

Create basic charts and pivot charts in Excel. Explain the important role charts play in telling a data-driven story. Construct advanced charts and visualizations. Build dashboards using Excel and Cognos Analytics.

4.71

Explain the capstone project scenario and a problem that you will solve with location data. Select a location data provider based on its features. Demonstrate proficiency by creating a Jupyter Notebook for the capstone project...