#### Foundations of Predictive *Analytics* in Python (Part 2)

Learn how to prepare and organize your *data* for predictive *analytics.*

118 results
for "data analytics"

Learn how to prepare and organize your *data* for predictive *analytics.*

4 hours
Machine Learning
Nele Verbiest
Course

Use a rich baseball dataset from the MLB's Statcast system to practice your *data* exploration skills.

4 hours
Case Studies
Brian M. Mills
Course

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

4 hours
Probability & Statistics
Bart Baesens
Course

Learn to acquire *data* from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

4 hours
Data Manipulation
Amany Mahfouz
Course

Learn to manipulate and analyze flexibly structured *data* with MongoDB.

4 hours
Data Manipulation
Donny Winston
Course

Manipulate, visualize, and perform statistical tests on HR *data.*

5 hours
Case Studies
Ben Teusch
Course

Analyze text *data* in R using the tidy framework.

4 hours
Data Manipulation
Marc Dotson
Course

Leverage the power of Python and PuLP to optimize supply chains.

4 hours
Machine Learning
Aaren Stubberfield
Course

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

4 hours
Probability & Statistics
Ryan Grossman
Course

In this course you'll learn how to use *data* science for several common marketing tasks.

4 hours
Probability & Statistics
Verena Pflieger
Course

In this course you'll learn how to apply machine learning in the HR domain.

4 hours
Machine Learning
Hrant Davtyan
Course

Learn to analyze and model customer choice *data* in R.

4 hours
Probability & Statistics
Elea McDonnell Feit
Course

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event *data.*

4 hours
Probability & Statistics
Gert Janssenswillen
Course

Predict employee turnover and design retention strategies.

4 hours
Case Studies
Anurag Gupta
Course

Learn all about modularity, documentation, & automated testing to help you solve *Data* Science problems quicker and more reliably.

4 hours
Programming
Adam Spannbauer
Course

Learn to detect fraud with *analytics* in R.

4 hours
Machine Learning
Bart Baesens
Course

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network *analytics.*

4 hours
Probability & Statistics
Eric Ma
Course

Learn how to segment customers in Python.

4 hours
Machine Learning
Karolis Urbonas
Course

Learn how to detect fraud using Python.

4 hours
Machine Learning
Charlotte Werger
Course

Learn how to analyze a SQL table and report insights to management.

4 hours
Reporting
Bart Baesens
Course

Learn how to take the Python workflows you currently have and easily scale them up to large datasets without the need for distributed computing environments.

4 hours
Data Manipulation
Team Anaconda
Course

Learn how to analyze *data* with spreadsheets using functions such as SUM(), AVERAGE(), and VLOOKUP().

3 hours
Programming
Vincent Vankrunkelsven
Course

Learn how to use graphical and numerical techniques to begin uncovering the structure of your *data.*

4 hours
Probability & Statistics
Andrew Bray
Course

Use *data* manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

4 hours
Case Studies
David Robinson
Course

Learn how to explore, visualize, and extract insights from *data.*

4 hours
Case Studies
Allen Downey
Course

Learn how to explore what's available in a database: the tables, relationships between them, and *data* stored in them.

4 hours
Data Manipulation
Christina Maimone
Course

Learn what Bayesian *data* *analysis* is, how it works, and why it is a useful tool to have in your *data* science toolbox.

4 hours
Probability & Statistics
Rasmus Bååth
Course

Master the basics of *data* *analysis* in Python. Expand your skill set by learning scientific computing with numpy.

4 hours
Programming
Filip Schouwenaars
Course

Master the basics of *data* *analysis* by manipulating common *data* structures such as vectors, matrices and *data* frames.

4 hours
Programming
Jonathan Cornelissen
Course

In this course you'll learn about basic experimental design, a crucial part of any *data* *analysis*.

4 hours
Probability & Statistics
kaelen medeiros
Course

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for *data* *analysis*.

4 hours
Programming
Ginger Grant
Course

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

4 hours
Probability & Statistics
Ben Baumer
Course

Learn to visualize multivariate datasets using lattice graphics.

4 hours
Data Visualization
Deepayan Sarkar
Course

Learn how to analyze huge datasets using Apache Spark and R using the sparklyr package.

4 hours
Other
Richie Cotton
Course

Make it easy to visualise, explore, and impute missing *data* with naniar, a tidyverse friendly approach to missing *data.*

4 hours
Importing & Cleaning Data
Nicholas Tierney
Course

Learn rbokeh: a visualization library for interactive web-based plots.

4 hours
Data Visualization
Omayma Said
Course

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

4 hours
Programming
Colin Gillespie
Course

Learn the basics of spreadsheets by working with rows, columns, addresses, and ranges.

2 hours
Programming
Vincent Vankrunkelsven
Course

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

4 hours
Data Visualization
Timo Grossenbacher
Course

This course will show you how to combine and merge datasets with *data*.table.

4 hours
Data Manipulation
Scott Ritchie
Course

Learn R for *data* science by wrangling, visualizing, and modeling political *data* like polls and election results.

4 hours
Case Studies
G Elliott Morris
Course

Master SQL Server programming by learning to create, update and execute functions and stored procedures.

4 hours
Programming
Meghan Kwartler
Course

Build the foundation you need to think statistically and to speak the language of your *data.*

3 hours
Probability & Statistics
Justin Bois
Course

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

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

4 hours
Programming
Justin Kiggins
Course

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

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

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

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

Learn how to use Python to analyze customer churn and build a model to predict it.

4 hours
Case Studies
Mark Peterson
Course

Build a binary classifier to predict if a blood donor is likely to donate again.

45 minutes
Data Manipulation, Machine Learning...
Dimitri Denisjonok
Project

Analyze health survey *data* to determine how BMI is associated with physical activity and smoking.

45 minutes
Probability & Statistics, Case Studies
Jessica Minnier
Project

Use MLB's Statcast *data* to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.

45 minutes
Data Manipulation, Data Visualization...
David Venturi
Project

Use R to make art and create imaginary flowers inspired by nature.

45 minutes
Data Visualization, Case Studies
Antonio Sánchez Chinchón
Project

If you've never done a DataCamp project, this is the place to start!

45 minutes
Data Manipulation, Data Visualization...
David Venturi
Project

If you've never done a DataCamp project, this is the place to start!

30 minutes
Data Visualization, Case Studies
Rasmus Bååth
Project

If you've never done a DataCamp project, this is the place to start!

30 minutes
Data Visualization, Case Studies
Rasmus Bååth
Project

Use your logistic regression skills to protect people from becoming zombies!

45 minutes
Data Manipulation, Data Visualization...
Jenine Harris
Project

Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.

45 minutes
Data Manipulation, Data Visualization...
Madeleine Bonsma-Fisher
Project

Use cluster *analysis* to glean insights into cryptocurrency gambling behavior.

45 minutes
Data Manipulation, Data Visualization...
Eric Hare
Project

Apply hierarchical and mixed-effect models to analyze Maryland crime rates.

45 minutes
Data Manipulation, Data Visualization...
Richard Erickson
Project

Apply text mining to Donald Trump's tweets to confirm if he writes the (angrier) Android half.

45 minutes
Data Manipulation, Data Visualization...
David Robinson
Project

Analyze the dialog and IMDB ratings of 287 South Park episodes. Warning: contains explicit language.

45 minutes
Data Manipulation, Data Visualization...
Patrik Drhlík
Project

Play bank *data* scientist and use regression discontinuity to see which debts are worth collecting.

45 minutes
Data Manipulation, Data Visualization...
Howard Friedman
Project

Load, clean, and visualize scraped Google Play Store *data* to understand the Android app market.

45 minutes
Data Manipulation, Data Visualization...
Lavanya Gupta
Project

Scrape news headlines for FB and TSLA then apply sentiment *analysis* to generate investment insight.

45 minutes
Data Manipulation, Data Visualization...
Juan González-Vallinas
Project

Explore the salary potential of college majors with a k-means cluster *analysis*.

45 minutes
Data Manipulation, Data Visualization...
Jaclyn Burge
Project

Discover how the US bond yields behave using descriptive statistics and advanced modeling.

45 minutes
Data Visualization, Applied Finance
József Soltész
Project

Apply unsupervised learning techniques to help plan an education program in Argentina.

45 minutes
Data Manipulation, Data Visualization...
Rafael La Buonora
Project

Write functions to forecast time series of food prices in Rwanda.

45 minutes
Data Manipulation, Data Visualization...
Richie Cotton
Project

Examine the network of connections among local health departments in the United States.

60 minutes
Data Manipulation, Data Visualization...
Jenine Harris
Project

Recreate John Snow's famous map of the 1854 cholera outbreak in London.

60 minutes
Data Manipulation, Data Visualization...
Radovan Kavicky
Project