Changes are constant; getting updated with time is only the option to sustain in the IT industry. Many of us are still stuck in March 2020. The Tech world has gone through many changes since the pandemic. A lot to learn in the IT Industry. Over the last two years, many of us have re-evaluated our priorities. We tested our careers skills and made them change. You must learn new technologies and skills throughout your life to keep up with changes in the IT industry and at your workplace. The new courses and certifications will help you grow in your career and boost your career opportunities. Various new technologies come and take place at your workplace. Data Science, Artificial Intelligence, and Machine Learning will take top places.
Data Science and Artificial Intelligence are booming areas in the IT sector. Machine learning is part of artificial intelligence, which offers a deeper look into data. Here we are giving 4 – High Demand data science courses in 2022.
SQL for Data Science by UC Davis (Coursera)
A good data scientist should be able to recover and work on unchanged data. They can work only when they are a master or well-versed in SQL. SQL is the standard language for communicating with database systems. This course is one of the SQL courses available on the internet today. The University of California creates the course. The online platform Coursera hosts the course. The course will cover the basics of SQL, the foundation, relationships in source data, tips and tricks to apply SQL in a data science context, use SQL commands to filter, sort, and summarise data. The course will also take you through real-world programming assignments.
- Online platform: Coursera
- Course duration: Approx, 14 Hrs
- University: University of California
IBM Data Science Professional Certificate (Coursera)
This course is one of the best online courses for data science professionals from IBM. The course is available on the Coursera online platform, designed by working professionals for the students who are willing to make their career in data science. The course is covered by the extensive hands-on and practical study. The program will cover data science and machine learning topics. It also includes open-source tools and libraries, data science methodology, Python programming, data analysis and visualization with Python, SQL and database knowledge, basics of machine learning, and applied data science. The program also offers a capstone project that will help you understand the life project.
- Duration: 9 courses, approx 2 months,
- Online platform: Coursera
Machine Learning Certification by Stanford University (Coursera)
developed by renowned AI expert Andrew Ng, this course is one of the best machine learning courses. It explains the most effective machine learning techniques and their implementation in the real world. With theoretical knowledge, you will also learn statistical pattern recognition and practical knowledge with these techniques.
- Duration: 55 hours
- Online platform: Coursera
- University: Stanford University.
Statistics for Data Science with Python by Coursera
This program will help you learn the basic principles of statistical methods and data analysis procedures. The course covers the topics of statistics of data gathering, summarizing data using descriptive statistics, displaying and visualizing data, probability distributions, hypothesis testing, analysis of variance, regression, and correlation analysis.
- Course Duration – 6 Weeks
- Online platform: Coursera
- Certified by: IBM
