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E-Learning: Data Science - Bundle (GK7739-LP)

  • Prijs: eur1.235,00
  • Code training: GK7739-LP
  • Dagen toegang: 365 dagen

eur1.235,00

(excl. BTW)

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Omschrijving

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This bundle of 10 on-demand courses provides a 12-month subscription to essential data science courses. You will explore data science and data analysis using Python, R, Java and Apache Spark. With video modules and eBooks, these courses give you the chance to hear directly from experts in the field and apply their learning to real-world problems.

Aanvullende informatie

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This bundle is designed for developers who have a basic understanding of data science technologies and principles and wish to learn advanced techniques and tools for data analysis and manipulation.

Doelstellingen

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The Advanced Data Science bundle is a 12-month subscription to these ten essential data science courses:
  • Data Science with Python
  • Data Science with R
  • Data Science with Java
  • Data Science with Apache Spark
  • Data Science with Julia
  • Data Analysis with Python
  • Data Analysis with R
  • Data Analysis with Java
  • Data Visualization with Python
  • Data Visualization with R

Inhoud

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GK7680-LP - Data Science with Python

  • A glance at Python’s essential libraries
  • The data science process
  • Data loading and pre-processing with pandas
  • Data pre-processing with Numpy; Introducing EDA
  • The detection and treatment of outliers
  • Visualization and presentation using seaborn, ggplot and matplotlib
  • recommenders system
  • data mining and machine learning techniques

GK7700-LP - Data Science with R

  • Introducing R
  • Functions in R
  • Statistical Inference in R
  • Getting Data into R
  • Cleaning and Data Manipulation
  • Visualizing Data with ggplot2
  • Making Interactive Reports
  • Time Series Mining with R
  • Supervised Machine Learning
  • Unsupervised Machine Learning

GK7712-LP - Data Science with Java

  • Getting started with Data Science
  • Data Acquisition and Cleaning
  • Statistical Data Analysis Techniques
  • Machine Learning
  • Neural Networks
  • Visual and Audio Analysis
  • Text Analysis
  • Parallel Techniques for Data Analysis

GK7713-LP - Data Science with Apache Spark

  • Getting started with Data Science
  • Data Acquisition and Cleaning
  • Statistical Data Analysis Techniques
  • Machine Learning
  • Neural Networks
  • Visual and Audio Analysis
  • Text Analysis
  • Parallel Techniques for Data Analysis

GK7714-LP - Data Science with Julia

  • The Groundwork: Julia’s environment
  • Data Processing and Cleaning
  • Making sense of data using Visualization
  • Supervised and Unsupervised Machine Learning
  • Deep Learning with Mocha.jl

GK7715-LP - Data Analysis with Python

  • Getting Started with Python Libraries
  • Retrieving, Processing, Manipulating and Storing Data
  • Presenting stories via simple visualizations
  • Signal Processing and Time-series
  • Analyzing Textual Data and Social Media
  • Predictive Analytics and Machine Learning
  • Performance Tuning, Profiling and Concurrency

GK7716-LP - Data Analysis with R

  • Data Visualization with R/RStudio
  • Data Partitioning, Multiple Linear Regression and Multicollinearity
  • Building recommendation systems to carry out smart analytics over complex datasets
  • Taming time series data – Time Series analysis using Recurrent Neural Networks
  • Streaming data Clustering analysis in R
  • Analyze and understand networks using R

GK7717-LP - Data Analysis with Java

  • Introduction to Data Analysis
  • Data Preprocessing and Data Visualization
  • Working with NoSQL Databases
  • Perform machine learning algorithms to perform efficient smart analytics
  • Using JDBC to Access SQL and MySQL Databases
  • Implementing Statistical Data Analysis Techniques Using Java APIs

GK7718-LP - Data Visualization with Python

  • Hello to the world of plotting
  • Figure layout and annotations
  • Visualizing online data
  • Extending to multidimensional space
  • Adding interactivity and animating plots
  • Practical guide to scientific plotting

GK7719-LP - Data Visualization with R

  • Introducing scientific plotting in R
  • Scientific plotting in ggplot2
  • Basic and interactive plots
  • Heat maps and dendrograms
  • The pie chart and its alternatives
  • Data in higher dimensions
  • Visualizing continuous data
  • Creating applications in R


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