The last few years have seen artificial intelligence (AI) and data science as an ever-evolving and rapidly growing space. It has been vastly adopted across sectors and domains not just to study and analyze data or find hidden patterns but to also make meaningful real-life decisions.
Is Artificial Intelligence and Data Science a good career?
While the data science global market anticipates reaching more than USD 178 billion by 2025. Both data science and AI have been touted to be remarkable careers in the tech industry. Both AI and data science have a distinctive role to play when it comes to generating a successful business. So, businesses need both AI and data science, if they’re looking to compete with jobs of the future.
Here are a few job roles that you can fill:
- Backend Python Engineer – Artificial Intelligence
- Data Scientist/ Research and Development Lead
- Business Analyst – Intelligent Automation / AI
- Programme Manager – Intelligent Automation / RPA
- Data Engineer
- Data Scientist
- Product Marketing Engineer – FPGA – AI/ Machine Learning
- Lead SoC Architect
- Data Science Analyst
A.I. engineers who have at least five years of experience in the field can easily earn $150,000 or more per year. Some of the highest-paid A.I. engineers in the world make more than $200,000 per year.
Data Science Salary
In 2021, the average data scientist salary of those with a master’s degree in IT was $186,000. That’s 59 percent higher than the median for those with a bachelor’s degree, whose average salary was $99,000.
Free AI Courses and Tutorials
Machine Learning (Coursera)
4.8 (167,660 ratings) || 4,663,966 + students enrolled
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. Many researchers also think it is the best way to make progress towards human-level AI.
In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.
Learn with Google AI (Google)
4.7 (177,960 ratings) || 863,897 + students enrolled
This newly launched resource is part of Google’s plan to broaden the understanding of AI among the general public. Material is slowly being added but it already contains a Machine Learning with TensorFlow (Google’s machine learning library) crash course.
The course covers the ground from a basic introduction to machine learning to getting started with TensorFlow, to designing and training neural nets.
Artificial Intelligence Markup Language (Udemy)
4.8 (1,052 ratings) || 7,7752+ students enrolled
This course is designed for people with absolutely no knowledge of Artificial Intelligence Markup Language (AIML). It guides you step by step and teaches you how to create a chatbot using the world’s most popular chatbot language. From the very beginning to more advanced features, take it at your own pace, practice, and learn from Steve Worswick, the 5 times holder of the Loebner Prize.
Free Data Science Courses and Tutorials
An Introduction to Data Science (Udemy)
4.6 (17,960 ratings) || 83,897 + students enrolled
This course focuses on the fundamental aspects of Data Science. Which is a developing field & also the future of Artificial Intelligence.
you will also get to know :
Basic concepts like noise vs data and different types of graphs to represent data. All you need to know is to master data science and get your dream job. The course content is based on research and its real. The upcoming courses will be based on relevant topics for which this will be a prerequisite. To complete this course and stay connected to me to get info about upcoming courses & this will help you to boost up your career.
What is Data Science? (Coursera)
4.9 (67,660 ratings) || 552,542 + students enrolled
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
IBM Data Science Professional Certificate (Coursera)
4.6 (52,821 ratings) || 83,476 + students enrolled
The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open-source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.
Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.
In addition to earning a Professional Certificate from Coursera, you’ll also receive a digital Badge from IBM recognizing your proficiency in data science.