Programming Languages Courses and Certifications

Learn XML Crash Course: Discover Essential XML Fundamentals

2545 ratings at Udemy

Jump into the world of XML with this fast and immersive course.

• Udemy
• 3 hours 3 minutes
• Self-Paced
• Paid Course

Introduction to Python Fundamentals

Learn Python basics with a slow-paced approach, covering variables, operators, input/output, and flow control. Build simple programs and gain confidence in programming, perfect for beginners.

• Coursera
• 20 hours 21 minutes
• Self-Paced
• Paid Course

Deepen JavaScript skills with classes, promises, async/await, and requests. Master advanced concepts like currying, hoisting, and concurrency for efficient, large-scale web app development.

• Codecademy
• 11 hours
• Self-Paced
• Free Trial Available

Introduction to R Programming and Tidyverse

Learn R programming and Tidyverse essentials for data analysis and visualization. Master RMarkdown, functions, ggplot2, and dplyr to create reproducible reports and gain valuable data science skills.

• Coursera
• 23 hours 21 minutes
• Self-Paced
• Paid Course

Career Certificate

Expressway to Data Science: Python Programming

Learn Python programming for data science from scratch. Master fundamentals, functions, and essential packages like Pandas and Numpy. Ideal for beginners seeking a fun, step-by-step approach to Python and data analysis.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Python Packages for Data Science

Explore essential Python packages for data science: Pandas, NumPy, Matplotlib, and Seaborn. Learn data manipulation and visualization techniques to enhance your data analysis skills.

• Coursera
• 20 hours
• Self-Paced
• Paid Course

Career Certificate

Expressway to Data Science: R Programming and Tidyverse

Master R programming and Tidyverse for data science: import, tidy, and visualize data using ggplot2. Develop skills for reproducible research and advanced data analysis techniques.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Introduction to Python Functions

Learn to create and use Python functions for data manipulation, making your programs reusable and adaptive. Covers basic definitions, parameters, return values, and nested functions.

• Coursera
• 18 hours 59 minutes
• Self-Paced
• Paid Course

Java Foundations: The Complete Course with Java 21 Updates

2512 ratings at Udemy

Covers Java 21 & Earlier, Streams/Lambdas, Regex, TDD/Testing, Optionals, JDBC/SQL Intro to Spring & More Using IntelliJ

• Udemy
• 3 days 17 hours 47 minutes
• Self-Paced
• Paid Course

Introduction to Python for Scientific Computing

Discover Python fundamentals for scientific computing, from basic programming to advanced numerical analysis, data visualization, and problem-solving with NumPy and SciPy.

• Coursera
• 9 hours 5 minutes
• Self-Paced
• Paid Course

Mastering 4 critical SKILLS using C++ 17

2508 ratings at Udemy

170 problems to enhance problem-solving skills. 6 projects for Project Building and Design Skills. High-quality quizzes

• Udemy
• 1 day 9 hours 28 minutes
• Self-Paced
• Paid Course

ASP.NET Core Identity & Security

2517 ratings at Udemy

ASP.NET Core Identity , 2FA/MFA, OAuth, Json Web Token (Jwt), Microservices Security and OWASP

• Udemy
• 4 hours 27 minutes
• Self-Paced
• Paid Course

Data Analysis with Tidyverse

Learn to analyze data using R's Tidyverse: import, tidy, manipulate relational data, work with strings and categorical variables. Gain practical skills for effective data analysis and visualization.

• Coursera
• 17 hours 3 minutes
• Self-Paced
• Paid Course

Statistics and Data Analysis with R

Master statistical analysis using RStudio through hands-on practice with probability, hypothesis testing, regression, and ANOVA. Learn to manipulate data, create visualizations, and perform complex calculations using R programming.

• Coursera
• 3 days 23 hours 28 minutes
• Self-Paced
• Paid Course

R Programming and Tidyverse Capstone Project

Reinforce R and tidyverse skills through hands-on COVID-19 data analysis. Import, clean, and visualize datasets to create a comprehensive report for your data science portfolio.

• Coursera
• 9 hours 41 minutes
• Self-Paced
• Paid Course