The 21st century has shown that having more understanding and certification in computer science is essential.

Unfortunately, the competition has become more challenging for those without extra qualifications when it comes to job searching. So, what is the best course in computer science for a job?

As the world progresses, you get to see online schooling has become more rampant and recommended in computer science.

Regardless, taking an online course will help to boost your knowledge in the field of computer science.

After much research, I have compiled the best eight computer science online courses for jobs. So, let’s take a look.

Best Course In Computer Science For Job

Whether you have graduated from computer science or not, you might want to consider taking at least one of the below-listed courses.

Not only will they increase your knowledge in the computer science field, but they will boost your profile for jobs.

The best courses to further your study in computer science depend on the job position you want.

However, some of them range from programming to front-end developers. Nevertheless, let’s dive into the best courses in computer science for a job.

Data Science Foundation: Computational Thinking using Python

About this course

This course explains the fundamental programming skills to possess for manipulating data. It will show you how you can use Python to manipulate and organize data in tables. 

This Data Science Foundation course focuses on the beginner programmer. However, you might need to have a level of expertise in programming to fully grasp the lessons taught in this course. 

This course will emphasize working on real-world data sets through interactive assignments to apply your learnt skills. In addition, this course will also allow you to hone your interpretation skills which are essential for data scientists.

Why is this course good?

  • It teaches the basics of the Python programming language and its application in data analysis.
  • It suggests the best tools used by academic data scientists in the industry – tools like Jupyter Notebooks.
  • Allows you to learn the fundamental principles of visualization.

Who this course for:

  • Students of computer science that want to know basic Python programming.
  • Data analysts and programmers.

Course offered by:

  • edX
  • University of California, Berkeley.

Duration: 5 weeks (including 4 – 6 hours weekly).

Level: Beginner.

Introduction To Database and SQL

About this course

This course helps you to understand what databases are and the reason for using them. It also explores how you can apply SQL to your search and ways to manipulate your data.

Further into the course, you will know the primary keys and their relation with tables. Finally, this course will take you through grouping and how to export data from different databases.

Why is this course good?

  • It teaches the role of primary keys.
  • Creates SQL statements for you to do searches in a database.
  • Allows you to learn ways to apply relationships to tables within a database.
  • It shows you how you can apply filters in SQL statements.

Who this course for:

  • Novice SQL and database users and students.
  • Computer science graduates with little knowledge of SQL.

Course offered by:

  • Future Learn
  • Raspberry Pi

Duration: 3 weeks (including 2 hours weekly), assignments and case studies.

Level: Intermediate.

Program in Big Data Engineering

About this course

This course is a post-graduate programme that helps professionals grasp a better understanding of Big Data Engineering. Unlike some other online computer courses, this program requires you to be an expert computer scientist.

This programme spans out 11 months, and you will learn several data engineering principles. The syllabus will highlight the foundations and platforms for Big Data, batch processing & ETL, Real-Time & Streaming Data, and analytics.

Why is this course good?

  • It will teach MapReduce, Big Data analytics, and Data Processing.
  • You become a professional Big Data engineer, admin, analyst, and architect.
  • Expands on the foundations and platforms for Big Data.

Who this course for:

  • IT and technology professionals.
  • C++ professionals that are looking to learn about Big Data.
  • Project leads and managers in tech companies.

Course offered by:

  • upGrad.
  • BITS Pilani.

Duration: 11 months (including a recommended 10 – 12 hours weekly lectures), 7+ case studies and projects.

Level: Expert.

Predictive Analytics Using Machine Learning

About this course

This course gives you an insight into machine learning-based responses to predictive modelling that includes support vector machines and tree-based techniques. The models in this course form the basis of some cutting-edge analytic tools.

Primarily, this course consists of two case studies – flight delay and cancellation predictions and forecasting behaviour of customers after a marketing campaign. Additionally, you will learn the topology, biases, and kernels of neural networks.

Why is this course good?

  • It brings about understanding between machine learning and different statistical models.
  • You can apply machine learning models to your job and business situations.
  • Allows you to practice building tree-based models, neural networks, and support vector machines.

Who this course for:

  • Potential predictive analysts. 
  • Programmers looking to use machine learning for predictions.

Course offered by: 

  • edX.
  • The University of Edinburgh.

Duration: 6 weeks (8 – 10 hours weekly), assignments, case studies.

Level: Intermediate.

Front-End Web Developer: CSS Basics

About this course

If you are journeying into becoming a web developer, this course is just what you need. This course teaches you the different ways you can professionally style your website for a unique look and feel.

This course will give you step-by-step guidance using the latest Web standards in your job or personal websites. You will explore numerous CSS features that will teach you how to set colours, fonts, and layout in websites.

To fully grasp this course, you should have familiar knowledge of HTML. Regardless, this course will give you all the HTML code when necessary.

Why is this course good?

  • You get to learn the fundamental CSS selectors. 
  • It allows for an understanding of the basic selection of CSS properties.
  • You learn about how to design page layout with CSS relative positioning.

Who this course for:

  • Website developers looking to gain more knowledge.
  • Website designers.

Course offered by:

  • edX.

Duration: 5 Weeks (including 5 – 7 hours weekly), assignments, and case studies.

Level: Intermediate.

CS50’s Introduction to Computer Science

About this course

This course introduces you to the intellectual enterprises in computer science and the skill of programming non-majors and majors alike. The topics teach algorithms, encapsulation, data structure, and resource management.

Additionally, you learn languages including Python, SQL, C, JavaScript, and HTML. This course doesn’t require you to have prior expert knowledge of specific computer advanced courses.

Why is this course good?

  • It sharpens and broadens how you think algorithmically and solve programming-related problems.
  • Allows you to get familiar with different computer languages like Python, HTML, SQL.
  • It teaches you how to develop and deliver a final programming project in your job.

Who this course for:

  • Programmers and developers.
  • Computer scientists.

Course offered by:

  • Harvard University.
  • edX.

Duration: 12 weeks (including 6 – 18 hours weekly classes)

Level: Intermediate.

Blockchain Technology Management – Executive Program

About this course

This course teaches the expert computer scientist how to approach the real-world business problems from the blockchain consultant perspective. You learn about the demystifying blockchain and enterprise application in the first week.

Additionally, you will see the introduction and application of blockchain network and architecture in play. If you also want to learn ways to design a BRD for technical architects, this course has got you covered.

Why is this course good?

  • It teaches computer scientists about blockchain technologies and how to use them in solving business problems.
  • Allows you to apply for jobs positions like blockchain consultants and analysts.
  • You learn about business & integration architecture with this course.

Who this course for:

  • Project managers and technical architects.
  • People that are domain experts, BFSI professionals, and FinTech specialists.
  • Anyone looking to improve their knowledge in Blockchain technology. 

Course offered by:

  • upGrad.
  • Institute of Management Technology.

Duration: 5 months (including 13 case studies and assignments).

Level: Intermediate.

Java Programming Introduction: Starting to Code in Java

About this course

This course introduces you to the powerful concepts of Java programming, which include functional abstraction and object-oriented programming (OOP) paradigm. This also applies to the use of case studies to implement programs.

In this course, the tutors emphasize immediate feedback and fun experiences. This course also allows you to program today’s smartphones and gadgets. As a result, the idea of computational thinking comes to light daily.

Why is this course good?

  • It teaches the basic knowledge you need for Java programming and algorithm jobs.
  • You get an understanding of the basic mechanisms of the object-oriented programming (OOP) paradigm.
  • Allows for you to use and interpret API and other Java classes.

Who this course for:

  • Programmers and full-stack developers.
  • Aspiring developer in any niche.

Course offered by:

  • edX.
  • Universidad Carlos III de Madrid.

Duration: 5 weeks (7 – 10 hours weekly), assignments and case studies.

Level: Intermediate.

What Are The Goals of Computer Science Courses?

The computer science courses are there for one significant reason, to improve the ability of all the student participants. For these courses, individual students might have their unique reasons for taking them.

However, the more generic reason for taking any of these courses is to apply for jobs in that field. Additionally, knowing these courses places you at an advantage over your peers that don’t take them.

As a plus, your resume, portfolio, and CV feel enhanced. For instance, if you want a full-stack developer position in a company, having certification in Java programming qualifies you for it.

Why Get A Computer Science Certification?

Generally, certifications are physical proofs that back your claims of education in a particular field. The reasons you should not only engage in one of the online

course but have certificates include;
It improves your profile.
Your knowledge in the computer science niche broadens.
The chances of getting employment in large corporations are higher.

Conclusion

Taking online courses have proven to be an important decision for many computer scientists in recent times. It not only improves your knowledge but increases the chances of employment opportunities.

Nevertheless, suppose you are looking to get a job as a programmer, developer, or blockchain expert. In that case, I’ll advise you to consider any of the best eight computer science courses mentioned above.