136 results for "data analytics"

Case Studies in Statistical Thinking

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

4 hours Probability & Statistics Justin Bois Course

Data Cleaning in Python

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

4 hours Importing & Cleaning Data Adel Nehme Course

Python for MATLAB Users

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

4 hours Programming Justin Kiggins Course

Survival Analysis in R

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

4 hours Probability & Statistics Heidi Seibold Course

Supervised Learning in R: Case Studies

Apply your supervised machine learning skills by working through four case studies using data from the real world.

4 hours Machine Learning DataCamp Content Creator Course

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hours Programming David Robinson Course

Introduction to Power BI

Gain a 360° overview of how to explore and use Power BI to build impactful reports.

4 hours Data Visualization Sara Billen Course

Spatial Statistics in R

Learn how to make sense of spatial data and deal with various classes of statistical problems associated with it.

4 hours Probability & Statistics Barry Rowlingson Course

Big Data Fundamentals with PySpark

Learn the fundamentals of working with big data with PySpark.

4 hours Programming Upendra Kumar Devisetty Course

Analyzing IoT Data in Python

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

4 hours Data Manipulation Matthias Voppichler Course

Visualizing Geospatial Data in R

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

4 hours Data Visualization Charlotte Wickham Course

Intermediate SQL

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

4 hours Programming Mona Khalil Course

String Manipulation with stringr in R

Learn how to pull character strings apart, put them back together and use the stringr package.

4 hours Programming Charlotte Wickham Course

Analyzing Social Media Data in R

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

4 hours Data Manipulation Sowmya Vivek Course

RNA-Seq with Bioconductor in R

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

4 hours Other Mary Piper Course

Introduction to R for Finance

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

4 hours Applied Finance Lore Dirick Course

Sentiment Analysis in R: The Tidy Way

In this course, you will the learn principles of sentiment analysis from a tidy data perspective.

4 hours Machine Learning DataCamp Content Creator Course

Introduction to Statistics in Spreadsheets

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

4 hours Probability & Statistics EDWARD KWARTLER Course

Introduction to Bioconductor in R

Learn to use essential bioconductor packages using datasets from virus, fungus, human and plants!

4 hours Other Paula Martinez Course

Market Basket Analysis in R

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

4 hours Data Manipulation Christopher Bruffaerts Course

Time Series Analysis in SQL Server

Explore ways to work with date and time data in SQL Server for time series analysis

5 hours Data Manipulation Kevin Feasel Course

Cleaning Data in Python

This course will equip you with all the skills you need to clean your data in Python.

4 hours Importing & Cleaning Data Daniel Chen Course

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

4 hours Probability & Statistics Justin Bois Course

Multivariate Probability Distributions in R

Learn to analyze, plot, and model multivariate data.

4 hours Probability & Statistics Surajit Ray Course

Data Science for Everyone

An introduction to data science with no coding involved.

4 hours Other Hadrien Lacroix Course

Data Manipulation with data.table in R

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

4 hours Programming Matt Dowle Course

Cluster Analysis in Python

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

4 hours Machine Learning Shaumik Daityari Course

Cleaning Data in R

Learn to explore your data so you can properly clean and prepare it for analysis.

4 hours Importing & Cleaning Data Nick Carchedi Course

Cluster Analysis in R

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hours Machine Learning Dmitriy Gorenshteyn Course

Network Analysis in R

In this course you'll learn to analyze and visualize network data with the igraph package.

4 hours Probability & Statistics James Curley Course

Spatial Analysis with sf and raster in R

Analyze spatial data using the sf and raster packages.

4 hours Probability & Statistics Zev Ross Course

Factor Analysis in R

Explore latent variables, such as personality using exploratory and confirmatory factor analyses.

4 hours Probability & Statistics Jennifer Brussow Course

Network Analysis in the Tidyverse

Learn how to analyze and visualize network data in the R programming language using the tidyverse approach.

4 hours Probability & Statistics Massimo Franceschet Course

Longitudinal Analysis in R

Learn how to analyze and model longitudinal data.

4 hours Probability & Statistics DataCamp Content Creator Course

Time Series Analysis in Python

In this course you'll learn the basics of analyzing time series data.

4 hours Probability & Statistics Rob Reider Course

Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

4 hours Probability & Statistics David S. Matteson Course

Biomedical Image Analysis in Python

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

4 hours Data Manipulation Stephen Bailey Course

Differential Expression Analysis with limma in R

Learn to use the Bioconductor package limma for differential gene expression analysis.

4 hours Other John Blischak Course

Introduction to Importing Data in R

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

3 hours Importing & Cleaning Data Filip Schouwenaars Course

Introduction to Network Analysis in Python

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

4 hours Probability & Statistics Eric Ma Course

Manipulating Time Series Data with xts and zoo in R

The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.

4 hours Data Manipulation Jeffrey Ryan Course

Introduction to Portfolio Analysis in R

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

5 hours Applied Finance Kris Boudt Course

Introduction to Portfolio Analysis in Python

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

4 hours Applied Finance Charlotte Werger Course

Working with Web Data in R

Learn how to efficiently import data from the web into R.

4 hours Importing & Cleaning Data Charlotte Wickham Course

Linear Algebra for Data Science in R

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

4 hours Probability & Statistics Eric Eager Course

Visualizing Time Series Data in R

Learn how to visualize time series in R, then practice with a stock-picking case study.

4 hours Data Visualization Arnaud Amsellem Course

Case Studies: Network Analysis in R

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

4 hours Probability & Statistics Ted Hart Course

Image Processing with Keras in Python

Learn powerful techniques for image analysis in Python using deep learning and convolutional neural networks in Keras.

4 hours Machine Learning Ariel Rokem Course

Single-Cell RNA-Seq with Bioconductor in R

Analyze single-cell RNA-Seq data using normalization, dimensionality reduction, clustering and differential expression.

4 hours Other Fanny Perraudeau Course

Introduction to Python for Finance

This course introduces Python for financial analysis.

4 hours Applied Finance Adina Howe Course
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