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Data Science Bootcamp: Hands-On Java Training

Build neural networks, machine learning algorithms, classifiers and more, step by step through real examples with data visualization and more!

The Best Java Data Science Guide

Do you need to learn data science and algorithms?

Are you tired of theory and want to learn through practical projects you can put on your resume and upload to Github?

This is the course for you.

Enroll now to learn data science with Java programming.

Learn through hands-on coding examples and learn to solve problems quickly.

Don't wait! Enroll while spots are open.


COURSE BREAKDOWN

Java Data Science

Section 1: Course Introduction

Section 2: K-Nearest Neighbors Project

  • Learn how to set up data, enable user input, and set up a K-Nearest Neighbors algorithm.
  • Learn how to work with matrices, RealMatrix, and Intstream.
  • Sort euclidian distances and show classification.
  • Calculate range and normalize values before testing the application.

Section 3: Decision Trees Project

  • Build a 'display best feature to split on' project using a dataset and the Decision Trees algorithm.
  • Learn key data science fundamentals including information gain and entropy.
  • Build features, feature values, datasets, and information gain tables.

Section 4: Neural Networks Project

  • Build your own neural network algorithm.
  • Work with target result data, weight and activation functions.
  • Test the application and train your model until the error is zero.

Section 5: Naive Bayes Project

  • Build a classifier by learning different Naive Bayes algorithms.
  • Learn how to classify user input and calculate log sum, probability and conditional properties.
  • Test your applications to see your text classification at work.

A dataset and source code is provided with each project!

Your Instructor


Alexandra Kropova
Alexandra Kropova

Alexandra Kropova is a software developer specializing in OOP and JavaScript, with extensive experience in full-stack web development and app development. She has helped produce courses for Mammoth Interactive INC. since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.


 

A SCHOOL YOU CAN TRUST

  • Lifetime access that never expires
  • Project-based curriculum to superboost your portfolio
  • Graduation certificate for every course
  • Absolute beginner-friendly
  • New courses every month
  • Efficient lectures with step by step explanations
  • Relevant industry topics 8 years of award-winning course delivery
  • 700,000 students in 186 countries
  • Learn with free tools and affordable courses

Requirements

  • Experience with object-oriented programming fundamentals. If you need experience, enrol in Introduction to Algorithms in Java first.
  • We will show you how to install a free IDE such as Eclipse or Android Studio.
  • We will show you how to install Java (also free)

Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
What is the format of the courses?
Average courses are 5-50 hours long, with our biggest (to date) being Hello Coding 2.0, at 250 hours of content! Most lessons are between 15 and 30 minutes long, and they’re all available online that you can watch at any time that’s convenient for you. The videos feature a live recording of your instructor's screen as they develop in realtime. With all source code and reference files included. So there will be absolutely no guesswork for you. And in case you ever get stuck, you can ask any questions and leave comments under each lecture.
Do I get course certificates?
Yes, a course certificate will be generated at the end of each course you complete! Along with projects, certificates are a way you can prove your work on LinkedIn.
How much time do I need in order to take each course?
You can spend as much or as little time as you want. If you enroll in Lifetime Access, you get lifetime access to all course materials. With Lifetime Access, there is no expiry. You aren't required to complete the course within a certain time period. You can follow the course at your own pace and always come back to the videos later when you want to revisit the material or work on improving certain skills.
Do I have to show up at a particular place or a particular time?
No, each course happens online, and you can take it from any place where you have an internet connection. You can view all lectures offline via the Teachable iOS app. All lectures are prerecorded so you can watch them at any time that works for you. Of course, you can also enjoy all the lectures on your phone and tablet.
What if I’m not good with technology?
The majority of Mammoth Interactive students are complete beginners. Even if you feel like you know nothing about technology, you won’t feel left out. All technical concepts are described in simple terms while avoiding unnecessary jargon. Each course starts from scratch and builds up your knowledge substantially in steps. Students from age 5 to 70 have successfully completed our courses. And just in case you get stuck, you can always ask any questions under each lecture, which will be promptly answered by one of my team members.
What if I'm an experienced developer?
Stack Overflow's yearly developer survey found that developers over age 50 start to make less than their younger counterparts. Don't become one of the people affected by skill stagnation. Enroll in our school to future-proof your career for life. If you're an experienced developer, you will still benefit from Mammoth Interactive courses. By starting from scratch with each course, you will revisit the fundamentals and undo bad coding habits. You'll also find it easier to pick up new languages, making you able to take more courses and broaden your skillset.

Course Curriculum



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