$319.89 – $425.98

16 Hours Data Science Training in Amsterdam | April 21, 2020 - May 14, 2020...

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Location

TruVs

Amsterdam

Netherlands

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Event description
16 Hours Data Science Training is being delivered from April 21, 2020 - May 14, 2020 US Pacific Time.

About this Event

16 Hours Data Science training is delivered from April 21, 2020 - May 14, 2020 for 16 Hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session.

  • All Published Ticket Prices are in US Dollars
  • The course will be taught in English language

16 Hours Data Science Training Schedule

Features and Benefits

  • 16 Hours, 8 sessions, 4 weeks of total Instructor-led and guided training
  • Training material, instructor handouts and access to useful resources on the cloud provided
  • Practical Hands-on Lab exercises provided
  • Actual code and scripts provided
  • Real-life Scenarios

Data Science Course Outline

  • From this Data Science Training you will able to learn all the Concepts of Data Science with real-time scenarios, live examples by real-time professionals.
  • Data Science is a new technology, which is basically used for apply critical analysis. It utilizes the potential and scope of Hadoop.
  • It also helps fully in R programming and machine learning implementation. It is a blend of multiple technologies like data interface, algorithm. It helps to solve an analytical problem.
  • Data Science provides a clear understanding of work in big data, analytical tool R. Also, provide the analyses big data. It gives the clear idea of understanding of data, transforming the data.
  • Also, it helps is visualizing the data, exploratory analysis, understanding of null value. It is used to impute the value with the help of different rules and logic.

Prerequisites

Basic knowledge of:

  • Mathematics
  • Statistics
  • Any Programming Language

Who can take this course

  • Any IT Professionals who are interested in Data Science

Course Objectives

After completion of the Data Science course, you will have gained the understanding of :

  • Complete knowledge of Data Science
  • Able to analyze big data
  • Able to work in Data Mining
  • Able to work on Statistics
  • Learn how to use different tool like Tableau, Map Reduce
  • Creation of decision tree
  • Explore Big data concept

Course Outline

1. Introduction to Data Science

  • Data
  • Big Data
  • Data Science Deep Dive

2. Intro to R Programming & Advanced R Programming

  • Introduction to R
  • R Programming Concepts
  • Data Manipulation in R
  • Data Import Techniques in R
  • Exploratory Data Analysis (EDA) using R
  • Data Visualization in R

3. Python Programming & Machine Learning

  • Big Data and Hadoop Introduction
  • Map Reduce Concepts
  • PIG
  • HIVE
  • Sqoop

4. Statistics

  • Statistics basics

5. Machine Learning using R & Python

  • Introduction
  • ML Fundamentals
  • Understanding Supervised and Unsupervised Learning Techniques
  • Clustering
  • Implementing Association rule mining
  • Understanding Process flow of Supervised Learning Techniques
  • Decision Tree Classifier
  • Random Forest Classifier
  • What is Random Forests
  • Naive Bayes Classifier.
  • Project Discussion
  • Problem Statement and Analysis
  • Linear Regression
  • Logistic Regression
  • Text Mining
  • Sentimental Analysis
  • Support Vector Machines
  • Deep Learning
  • Time Series Analysis

6. Apache Spark using Python

  • Apache Spark
  • Spark Core Architecture
  • Spark Internals Detailed
  • Intro to Spark Streaming
  • Intro to Spark GraphX Programming
  • Intro to Spark Mllib
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Date and Time

Location

TruVs

Amsterdam

Netherlands

View Map

Refund Policy

Contact the organizer to request a refund.

Eventbrite's fee is nonrefundable.

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