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Goliath Research Academy
Advance your career

Goliath Research Academy

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Are you ready to embark on an extraordinary journey of learning and growth?

Our online academy offers a range of carefully crafted courses designed to empower individuals like you to master the world of Data Science, Machine Learning, Deep Learning, and other related topics.
Our courses are not video based.
They have the theoretical fundamentals summarized in e-books and several Jupyter notebooks with Python scripts and many real-world examples.

Why Python?

Python is one of the most popular programming languages today.
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Easy to learn and use

It is simple to use and understand for newcomers and beginners.

Supportive Python Community

The developer community is very active and happy to help.

Hundreds of Useful Python Libraries

NumPy, Pandas, Scipy, Matplotlib, Seaborn, Pyplot, Sqllite3, BeautifulSoap

Portability

It is available for all major operating systems and on a wide range of architectures.

Versatility, Efficiency, Reliability, and Speed

We can use it in a wide variety of environments. It is efficient, reliable, and much faster than most modern languages.

Big data, Machine Learning and Cloud Computing

It is one of the most popular programming languages for data science and analytics.
  • We want you to use what you learn with us. You will need little math background and algorithmic thinking, but you will learn enough theory to understand how to approach most Data Science projects and reach a solution.
  • Our courses will allow you to learn at your own pace, test your progress, and gain a solid foundation to navigate the complex and broad field of Data Science and Business Analytics.
  • The instructors have the theoretical background and practical experience to prepare you to learn and use your knowledge for practical applications.

Our courses

Do not miss!

Computational Statistics

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Supervised Learning: From Cleaning to Predictive Power

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Unsupervised Learning

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Frequently asked questions

1. Do I need prior experience?

Our courses use Jupyter notebooks for teaching Python and how to use it for Data Science. We offer four free introductory Python courses, enough to understand the others. We created the courses with the beginner in mind. You do not need a background in data or tech, just basic computer knowledge.

2. Is it mandatory to pass the free courses?

No, it is not. The free courses allow you to learn Python for Data Analysis. They are also useful as reference material. We recommend them, but they are not mandatory.

3. How is the evaluation process?

There are some quizzes and a last test in the courses. There are no grades for quizzes. They ask you questions and provide feedback on how to answer them correctly.

4. How much time will a course take?

You can use our courses for online learning and self-paced. They can also be instructor-assisted, taking a fixed amount of time. Once you enroll by yourself, you will get full access to it. You can complete it whenever it works best for you. You can use the forum to share doubts or questions or answer them. When learning with an instructor, you will know the class schedule, receive additional exercises, and use the forum to request help.

5. I know the content of the course; can I just take the test?

Yes, you can. You can take the test and get your certificate directly. 

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