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Java Tutorial for Complete Beginners

About This Course

  • Learn to program in the Java programming language. This course assumes no prior programming knowledge, just a desire to learn to program.

Other Information

  • Certificate will provided in this course of Completion
  • Full lifetime access
  • Available on Mobile & Laptop

check here https://skillzcafe.com/course-detail/java-tutorial-for-complete-beginners-john-purcell

MySQL for Beginners

About This Course

Big databases are everywhere these days. Facebook, Netflix, Uber, Airbnb use SQL-driven databases – to name just a few.

So, to be a successful developer or data scientist you need to know SQL inside-out.

But – SQL can seem complicated. Especially if you’re a beginner or more familiar with other programming languages. Don’t worry – there’s some good news…

SQL isn’t complicated – or at least it doesn’t need to be, so long as you learn it the right way.

Problem is – too many other courses out there jump around, skipping important concepts or simply teaching things badly.

That’s why this course goes further than most. You’ll get in-depth knowledge and skills that are built-up sequentially to make sure you don’t have any gaps.

License Type: CC-BY

Other Information

  • Certificate will provided in this course of Completion
  • Full lifetime access
  • Available on Mobile & Laptop

check here https://skillzcafe.com/course-detail/mysql-for-beginners-john-purcell

 

Learn Android 4.0 Programming in Java

About This Course

A practical guide to Android development. Learn to create Android programs using Java, and create the app of your dreams!

License Type: CC-BY

Other Information

  • Certificate will provided in this course of Completion
  • Full lifetime access
  • Available on Mobile & Laptop

What Students Will Learn In Your Course?

  • Learn how to create Android applications

check here  https://skillzcafe.com/course-detail/learn-android-40-programming-in-java-john-purcell

C++ Tutorial for Complete Beginners

About This Course

This course teaches you the powerful, fast and popular C++ programming language from scratch, assuming only basic computer knowledge. If you want to develop apps that squeeze the most power from your computer — high-end desktop games or complex artificial intelligence programs, for instance — or if you want to use a language that let’s you get close to your machine and access all of your computer’s hardware, C++ is the language for you. While C++ is quite challenging, in this course we’ll learn the basics step by step; towards the end of the course you’ll learn how to create a beautiful “particle fire” program, including a smattering of the basic principles of game development.

Other Information

  • Certificate will provided in this course of Completion
  • Full lifetime access
  • Available on Mobile & Laptop

check here https://skillzcafe.com/course-detail/c-tutorial-for-complete-beginners-john-purcell

 

Learn Data Science Tutorial

About This Course

Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the “sexiest job of the 21st century.” You’ll learn the important elements of data science. You’ll be introduced to the principles, practices, and tools that make data science the powerful medium for critical insight in business and research. You’ll have a solid foundation for future learning and applications in your work. With data science, you can do what you want to do, and do it better. This course covers the foundations of data science, data sourcing, coding, mathematics, and statistics.
Part 1: Data Science: An Introduction: Foundations of Data Science
– Welcome (1.1)
– Demand for Data Science (2.1)
– The Data Science Venn Diagram (2.2)
– The Data Science Pathway (2.3)
– Roles in Data Science (2.4)
– Teams in Data Science (2.5)
– Big Data (3.1)
– Coding (3.2)
– Statistics (3.3)
– Business Intelligence (3.4)
– Do No Harm (4.1)
– Methods Overview (5.1)
– Sourcing Overview (5.2)
– Coding Overview (5.3)
– Math Overview (5.4)
– Statistics Overview (5.5)
– Machine Learning Overview (5.6)
– Interpretability (6.1)
– Actionable Insights (6.2)
– Presentation Graphics (6.3)
– Reproducible Research (6.4)
– Next Steps (7.1)

Part 2: Data Sourcing: Foundations of Data Science (1:39:46)
– Welcome (1.1)
– Metrics (2.1)
– Accuracy (2.2)
– Social Context of Measurement (2.3)
– Existing Data (3.1)
– APIs (3.2)
– Scraping (3.3)
– New Data (4.1)
– Interviews (4.2)
– Surveys (4.3)
– Card Sorting (4.4)
– Lab Experiments (4.5)
– A/B Testing (4.6)
– Next Steps (5.1)

Part 3: Coding (2:32:42)
– Welcome (1.1)
– Spreadsheets (2.1)
– Tableau Public (2.2)
– SPSS (2.3)
– JASP (2.4)
– Other Software (2.5)
– HTML (3.1)
– XML (3.2)
– JSON (3.3)
– R (4.1)
– Python (4.2)
– SQL (4.3)
– C, C++, & Java (4.4)
– Bash (4.5)
– Regex (5.1)
– Next Steps (6.1)

Part 4: Mathematics (4:01:09)
– Welcome (1.1)
– Elementary Algebra (2.1)
– Linear Algebra (2.2)
– Systems of Linear Equations (2.3)
– Calculus (2.4)
– Calculus & Optimization (2.5)
– Big O (3.1)
– Probability (3.2)

Part 5: Statistics (4:44:03)
– Welcome (1.1)
– Exploration Overview (2.1)
– Exploratory Graphics (2.2)
– Exploratory Statistics (2.3)
– Descriptive Statistics (2.4)
– Inferential Statistics (3.1)
– Hypothesis Testing (3.2)
– Estimation (3.3)
– Estimators (4.1)
– Measures of Fit (4.2)
– Feature Selection (4.3)
– Problems in Modeling (4.4)
– Model Validation (4.5)
– DIY (4.6)
– Next Step (5.1)
Course created by Barton Poulson from datalab.cc.

License type: CC-BY

Other Information

  • Certificate will provided in this course of Completion
  • Full lifetime access
  • Available on Mobile & Laptop

check here https://skillzcafe.com/course-detail/learn-data-science-tutorial-barton-poulson

 

 

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