Java Data Science Solutions - Analyzing Data

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Learn how to build data science models using Java by taking this wonderful course in Java Data Science Solutions – Analyzing Data. If you are a Java developer with a basic knowledge on data science, this course might just be the one you need to spruce up your skills in Java. This course is also set to further educate you on the modern solutions to solve common and uncommon data science related problems.

This video course will teach you on how to retrieve and read filenames from hierarchical directories using Java and Apache Commons IO, followed by an understanding on the role of Apache Tika in extracting texts from PDF files that are password protected. You will then be guided on how to use Univocity, JDOM, JSON.Simple, Jsoup and Selenium Web Driver to parse and extract data. How to index huge amounts of data using Apache Lucene to enable the fast search of data will also be thoroughly demonstrated through this course.

Get to discover how to generate summary statistics using the SummaryStatistics class and AggregateSummaryStatistics class to summarise and communicate a set of observations and on how to count the word frequency in a String using Apache Commons Math and the core libraries and mechanisms in Java 8. You will also be further given insights into simple regression, ordinary least squares regression, generalized least squares regression, Paired T-Test, Chi-Square test, One-Way ANOVA test and Kolmogorav-Smirnov test to use it effectively in your data science modelling activities. By the end of this course, you will have a sound knowledge on building data science models using Java to make significant progress in your career.

Why study at Global Edulink?

Global Edulink offers the most convenient path to gain recognised skills and training that will give you the opportunity to put into practice your knowledge and expertise in an IT or corporate environment. You can study at your own pace at Global Edulink and you will be provided with all the necessary material, tutorials, qualified course instructor, narrated e-learning modules and free resources which include Free CV writing pack, free career support and course demo to make your learning experience more enriching and rewarding.

  • Access Duration 
  • Who is this course aimed at?
  • Entry Requirements
  • Method Of Assessment
  • Certification
  • Career Path
  • Other benefits

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

This course might interest java developers wanting to improve their skills by learning how to build data science models using Java

  • Learners must be age 16 or over and should have basic understanding of the English Language, numeracy, literacy and ICT.
  • A basic understanding on data science will be needed

The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.

Those who pass this test will get a certificate in Java Data Science Solutions – Analyzing Data

With this certificate in your resume, you are sure to improve your eligibility for a number of jobs in the web applications development industry. You can also use this certificate to follow up on the other related courses or to make substantial progress in your career. Given below are some of the jobs this certificate will help you in, along with the average UK salary per annum according to,

  • Java Developer – £34,469 per annum
  • Java Programmer – £35,051 per annum
  • Java Software Developer – £33,388 per annum
  • Senior Java Developer – £51,180 per annum
  • High-quality e-learning study materials and mock exams.
  • Tutorials/materials from the industry leading experts.
  • 24/7 Access to the Learning Portal.
  • The benefit of applying for TOTUM extra Discount Card.
  • Recognised Accredited Qualification.
  • Excellent customer service and administrative support

Key Features

Gain an Accredited UK Qualification
Access to Excellent Quality Study Materials
Personalised Learning Experience
Support by Phone, Live Chat, and Email
Eligible for TOTUM Discount Card
UK Register of Learning Providers Reg No : 10053842

Course Curriculum

Getting Started
Online Training User Manual
E Certificate Download Guide 00:00:00
Section 1: Obtaining and Cleaning Data
1.1. The Course Overview 00:00:00
1.2. Retrieving All Filenames from Hierarchical Directories Using Java 00:00:00
1.3. Retrieving All Filenames from Hierarchical Directories Using Apache Commons IO 00:00:00
1.4. Reading Contents from Text Files All at Once Using Java 8 00:00:00
1.5. Reading Contentsfrom Text Files All at Once Using Apache Commons IO 00:00:00
1.6. Extracting PDF Text Using Apache Tika 00:00:00
1.7. Cleaning ASCII Text Files Using Regular Expressions 00:00:00
Section 2: Parsing and Extracting Data
2.1. Parsing Comma-Separated and Tab-Separated Value Files Using Univocity 00:00:00
2.2. Parsing XML Files Using JDOM 00:00:00
2.3. Writing JSON Files Using JSON.Simple 00:00:00
2.4. Reading JSON Files Using JSON.Simple 00:00:00
2.5. Extracting Web Data from a URL Using Jsoup 00:00:00
2.6. Extracting Web Data from a Website Using Selenium Web Driver 00:00:00
2.7. Reading Table Data from a MySQL Database 00:00:00
Section 3: Indexing and Searching Data
3.1. Indexing Data with Apache Lucene 00:00:00
3.2. Searching Indexed Data with Apache Lucene 00:00:00
Section 4: Analyzing Data Statistically
4.1. Generating Descriptive Statistics 00:00:00
4.2. Generating Summary Statistics 00:00:00
4.3. Generating Summary Statistics from Multiple Distributions 00:00:00
4.4. Computing Frequency Distribution 00:00:00
4.5. Counting Word Frequency in a String 00:00:00
4.6. Counting Word Frequency in a String Using Java 8 00:00:00
4.7. Calculating Covariance and Pearson’s Correlation of Two Sets of Data Points 00:00:00
Section 5: Regression Analysis and Testing
5.1 Computing Simple Regression 00:00:00
5.2 Computing Ordinary Least Squares Regression 00:00:00
5.3 Computing Generalized Least Squares Regression 00:00:00
5.4 Conducting a Paired T Test 00:00:00
5.5 Conducting a Chi-Square Test 00:00:00
5.6 Conducting the One-Way ANOVA Test 00:00:00
5.7 Conducting a Kolmogorov-Smirnov Test 00:00:00
Mock Exam
Mock Exam : Java Data Science Solutions – Analyzing Data 00:40:00
Exam : Java Data Science Solutions – Analyzing Data 00:40:00

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