$425.98 – $532.07

4 Weeks Data Science Training course in Wellington

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TruVs

Wellington

New Zealand

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Event description
4 Weeks Data Science Training is being delivered from July 6, 2020 - July 29, 2020 US Pacific Time.

About this Event

4 Weeks Data Science training is being delivered from July 6, 2020 - July 29, 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

4 Weeks Data Science Training Schedule

Features and Benefits

  • 4 Weeks, 8 sessions, 16 Hours 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 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. Also, provide the analysis of 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 learning 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
  • Creation of decision tree
  • Explore Big data concept

Course Outline

1. Introduction to Data Science

  • Data
  • Big Data

2. Python Programming & Machine Learning

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

3. Statistics

  • Statistics basics

5. Machine Learning using 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

Wellington

New Zealand

View Map

Refund Policy

Contact the organizer to request a refund.

Eventbrite's fee is nonrefundable.

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