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85 Courses

Course

Object-Oriented Programming with S3 and R6 in R

  • AdvancedSkill Level
  • 4.7+
  • 271 reviews

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Software Development

4 hours

Course

Introduction to Testing in Java

  • AdvancedSkill Level
  • 4.8+
  • 114 reviews

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

Software Development

3 hours

Course

Introduction to Scala

  • IntermediateSkill Level
  • 4.8+
  • 129 reviews

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

Software Development

3 hours

Course

Case Study: Building Software in Python

  • AdvancedSkill Level
  • 4.7+
  • 254 reviews

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

Software Development

3 hours

Course

Concepts in Computer Science

  • BasicSkill Level
  • 4.7+
  • 163 reviews

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

Software Development

3 hours

Course

Writing Efficient Code with pandas

  • IntermediateSkill Level
  • 4.8+
  • 147 reviews

Learn efficient techniques in pandas to optimize your Python code.

Software Development

4 hours

Course

Python for R Users

  • IntermediateSkill Level
  • 4.7+
  • 74 reviews

This course is for R users who want to get up to speed with Python!

Software Development

5 hours

Course

Querying a PostgreSQL Database in Java

  • AdvancedSkill Level
  • 4.8+
  • 72 reviews

Connect Java to PostgreSQL with JDBC. Write secure queries, manage transactions, and handle large datasets efficiently.

Software Development

3 hours

Course

Python for Spreadsheet Users

  • BasicSkill Level
  • 4.8+
  • 34 reviews

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Software Development

4 hours

Course

Importing Data in Java

  • IntermediateSkill Level
  • 4.8+
  • 44 reviews

Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.

Software Development

3 hours

Course

Developing R Packages

  • IntermediateSkill Level
  • 4.7+
  • 137 reviews

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Software Development

4 hours

Course

Programming Paradigm Concepts

  • BasicSkill Level
  • 4.8+
  • 122 reviews

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Software Development

2 hours

Course

Python for MATLAB Users

  • BasicSkill Level
  • 4.7+
  • 28 reviews

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Software Development

4 hours

Course

Parallel Programming with Dask in Python

  • IntermediateSkill Level
  • 4.8+
  • 61 reviews

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

Software Development

4 hours

Course

R For SAS Users

  • BasicSkill Level
  • 4.7+
  • 27 reviews

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

Software Development

4 hours

Course

Intermediate Julia

  • BasicSkill Level
  • 4.7+
  • 79 reviews

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

Software Development

4 hours

Course

Parallel Programming in R

  • IntermediateSkill Level
  • 4.7+
  • 71 reviews

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Software Development

4 hours

Course

Defensive R Programming

  • IntermediateSkill Level
  • 4.9+
  • 70 reviews

Learn defensive programming in R to make your code more robust.

Software Development

4 hours

Course

Intermediate Regular Expressions in R

  • IntermediateSkill Level
  • 4.8+
  • 33 reviews

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Software Development

4 hours

Course

Optimizing R Code with Rcpp

  • IntermediateSkill Level
  • 4.9+
  • 12 reviews

Use C++ to dramatically boost the performance of your R code.

Software Development

4 hours

Course

Scalable Data Processing in R

  • AdvancedSkill Level
  • 4.6+
  • 22 reviews

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

Software Development

4 hours

FAQs

What is data science?

Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.

How can I learn data science?

You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.

What skills are required for data science?

As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.

What can I use data science for?

In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.

Is data science a good career?

Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.

Is it difficult to become a data scientist?

There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.

Does data science require coding?

Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.

How long does it take to become a data scientist?

For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.

What topics can I study within data science?

Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.

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