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Congratulations to all the Fresh IT Graduates reading this blog right now. You have completed a very important phase in your life and now it’ time to embark upon a new one. There are people waiting to hire talented people like you. But whatever you do, make sure you do it with passion. If you are a bit doubtful about what job you should pick and unable to find your passion, there are thousands of Free Online Certifications that you can take right now.
This free online course bridges the gap between introductory and advanced courses in Python. If you had been taught Python at undergrad level, it’s a plus. But if you are new to this language, this curse covers the basics as well as the advanced topics related to this language. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings. This version of the course includes a new module on statistical learning.
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it.
As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.
We’ll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care. The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualization particularly important.
Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind’s AlphaGo beat the World champion at Go – a game where intuition plays a key role.
But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that’s why it’s at the heart of Artificial intelligence.
This course offers the chance to learn about the ins-and-outs of FinTech. It is offered by the University of Hong Kong. It covers the topic, What FinTech is and how it is transforming the world of finance around the world. Understand the major technologies involved in FinTech and the major players in the market, including startups, TechFins, traditional financial institutions, and regulators.
All the 5 courses listed above are meant to be completed via self-study. What are you waiting for, get a piece of paper and start crafting down in how many days you want to complete your chosen course? How about setting a new challenge for yourself.
In the meantime, you might want to check out The 2019 LinkedIn Grads Guide to Getting Hired for better insight into what big companies like Microsoft, Facebook are looking for.
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