Statistical Data Analysis with Java
Statistical Data Analysis with Java, available at $54.99, has an average rating of 4, with 36 lectures, 2 quizzes, based on 5 reviews, and has 73 subscribers.
You will learn about Evaluate your data with different types of data analysis techniques Apply data analysis techniques to make sense of your data Explore the world of big data analysis with Java Get to know the basics of data analysis and explore how data changes state Implement statistical data analysis techniques using Java APIs Use JDBC to connect Java to SQL and MySQL databases This course is ideal for individuals who are Mid-level developers & architects who are familiar with Java programming. or Developers with some prior experience of programming in Java, looking to learn how to effectively leverage its data structures for data processing. It is particularly useful for Mid-level developers & architects who are familiar with Java programming. or Developers with some prior experience of programming in Java, looking to learn how to effectively leverage its data structures for data processing.
Enroll now: Statistical Data Analysis with Java
Summary
Title: Statistical Data Analysis with Java
Price: $54.99
Average Rating: 4
Number of Lectures: 36
Number of Quizzes: 2
Number of Published Lectures: 36
Number of Published Quizzes: 2
Number of Curriculum Items: 38
Number of Published Curriculum Objects: 38
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Evaluate your data with different types of data analysis techniques
- Apply data analysis techniques to make sense of your data
- Explore the world of big data analysis with Java
- Get to know the basics of data analysis and explore how data changes state
- Implement statistical data analysis techniques using Java APIs
- Use JDBC to connect Java to SQL and MySQL databases
Who Should Attend
- Mid-level developers & architects who are familiar with Java programming.
- Developers with some prior experience of programming in Java, looking to learn how to effectively leverage its data structures for data processing.
Target Audiences
- Mid-level developers & architects who are familiar with Java programming.
- Developers with some prior experience of programming in Java, looking to learn how to effectively leverage its data structures for data processing.
Are you willing to know how to model and visualize your data efficiently with Java in a jiffy in order to get familiar with the various types of data analysis so you can make sense of your data with Java? Then this course is for you!
With this comprehensive course, you’ll begin learning to apply the basic analysis to your business needs and create time-series predictions along with implementing statistical data analysis techniques using Java APIs. Then you’ll learn about how to obtain, understand, and evaluate the text. Then you will learn to apply analysis techniques, so as to gain valuable insights provided by software programs after processing the information; along with this, you will also be learning various java tools to visualize data in various forms.
Contents and Overview
This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Basic Data Analysis with Java starts by showing you the various techniques of pre-processing your data. You will then get well-versed with the basics of data analysis with Java, how data changes state, and how Java fits into the analysis. You will then learn to apply the basic analysis to your business needs and create time-series predictions. Finally, you will see how to implement statistical data analysis techniques using Java APIs. You will also use JDBC to connect Java to SQL and MySQL databases. At the end of the video course, you will also see how to work with NoSQL databases.
The second course, Making Sense of Data with Java starts by showing you how to obtain, understand, and evaluate the text. You’ll look at different files and see how to apply analysis techniques, so your software programs can make sense of information to gain valuable insights. You’ll also learn to use Java tools to visualize data in various forms. Finally, you will be walked through different methods to analyze text, big data, and other types of multimedia such as image analysis, facial analysis, and pattern recognition.
About the Authors:
-
Erik Costlow was the principal product manager for Oracle’s launch of Java 8. His background is in software security analysis, dealing with the security issues that rose to the surface within Java 6 and Java 7. While working on the JDK, Erik applied different data analysis techniques to identify and mitigate ways that threats could propagate through the overall Java platform and overlying applications.
Course Curriculum
Chapter 1: Basic Data Analysis with Java
Lecture 1: The Course Overview
Lecture 2: The Purpose of Data Analysis
Lecture 3: Surveying Data Types and Data Structures
Lecture 4: Data Sets and File Formats
Lecture 5: Generating Test Data
Lecture 6: Pre-processing Data Sets
Lecture 7: Types of Data Analysis Problems
Lecture 8: Java Components
Lecture 9: Business Intelligence
Lecture 10: Time Series Predictions
Lecture 11: Descriptive Statistics
Lecture 12: Random Sampling
Lecture 13: Elementary Probability
Lecture 14: Bayes’ Theorem
Lecture 15: Tables and Databases
Lecture 16: MySQL
Lecture 17: Code Using JDBC or JPA
Lecture 18: SQL Versus NoSQL Database Systems
Lecture 19: XML and JSON Data Formats
Lecture 20: Data Conversion
Lecture 21: Selection
Lecture 22: Subsetting
Lecture 23: DateTime APIs in JDK 8
Lecture 24: Resampling
Chapter 2: Making Sense of Data with Java
Lecture 1: The Course Overview
Lecture 2: Text Mining
Lecture 3: Sentiment Analysis
Lecture 4: Datasaurus Dozen
Lecture 5: Charts and Graphs
Lecture 6: Charts with Lots of Data
Lecture 7: Time Series Graphs
Lecture 8: Data Versus Big Data
Lecture 9: The Hadoop Framework
Lecture 10: Image Processing
Lecture 11: Facial Analysis
Lecture 12: Pattern Recognition
Instructors
-
Packt Publishing
Tech Knowledge in Motion
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 3 votes
- 5 stars: 1 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024