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.
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.
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
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.
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 https://www.payscale.com/career-path-planner,
|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 : Java Data Science Solutions – Analyzing Data||00:40:00|
|Exam : Java Data Science Solutions – Analyzing Data||00:40:00|
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