Java Data Science Solutions – Analyzing Data

Overview

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.

Course Curriculum

• Section 1: Obtaining And Cleaning Data
• Section 2: Parsing And Extracting Data
• Section 3: Indexing And Searching Data
• Section 4: Analyzing Data Statistically
• Section 5: Regression Analysis And Testing

Access duration

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.

Who is this course aimed at?

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

Method of assessment

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.

Certification

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

Other Benefits

• 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