Data science is a subject that combines domain expertise, programming skills, and mathematical and statistical expertise to extract usable insights from data. Data scientists, also known as data engineers, use machine learning techniques to build artificial intelligence (AI) for systems to perform tasks that would normally need human expertise. Furthermore, these systems provide insights that analysts and business users can use to convert into monetary value.

A Data Science aspirant should have the following skills:

  1. Statistics & Probability
  2. Calculus & Linear Algebra
  3. Data Wrangling
  4. Database Management
  5. Data Visualization
  6. Machine Learning / Deep Learning
  7. Cloud Computing
  8. Microsoft Excel
  9. DevOps

These abilities are critical for everyone who is interested in taking up a data science course. As a result, it is significantly advisable to familiarize yourself with these skills(briefly) before embarking on your Data Science path.
Machine learning, data science, and artificial intelligence are becoming increasingly important to businesses. To be competitive in big data implementation, organizations and industries of all sizes must establish data science capabilities quickly.
Here are some of the best Data Science courses for working professionals and people who want to learn at their own speed.
Many working professionals may be dissatisfied with their jobs, or someone may need to develop their abilities in the same or a different field. Learnbay offers a once-in-a-lifetime opportunity to all working individuals who wish to advance their careers by obtaining outstanding outcomes in Data Science.
Learnbay has two excellent Data Science courses that I recommend. These courses are aimed to give working professionals foundational and higher level training.
Domain Specialization For Professionals | Data Science & AI Certification
This foundation program in data science and artificial intelligence offers industry-recognized certification. This program is designed specifically for working professionals with one year of programming or non-programming experience. This course will serve as a wonderful stepping stone in mastering data science abilities and assisting you in handling an interview with greater confidence. The course will be taught across four terms, with a specific module for non-programmers that will be useful to those who do not have a coding background. They can use this lesson to learn how to program from the ground up. Moreover, this course provides,

● Interview Prep Session & Mock Interview
● You can start attending interviews after Term 3 and keep learning other modules from term 4 simultaneously.
● You will be able to attend guided sessions for real-time projects from multiple domains and get project support/Mentorship from expert instructors.
For Managers and Leaders: A Data Science and AI Certification Program
This program is best for professionals with 4+ years of experience in programming and core technical fields. This course is featured with 16+ industry-related projects.

You should complete two capstone projects under mentorship and guidance by Data Science and AI experts. This course is ideal for professionals who want to switch their domains and begin a career in Artificial Intelligence.

The syllabus will be covered in 4 terms with a special module for non-programmers, and the final exam to receive an IBM certificate will be provided after term 3.

The major goal of this course is to provide domain specialty electives.

Data science skills efficacy all about domain-specific use knowledge in domain specializations is a must for aspirants.

Domain Specialization elective details:
● For programmers, It provides advanced data structures and Algo.
● For core engineers, It provides automotive, IOT, Embedded.
● It also offers cloud computing domains for professionals.
● It provides support to full-time master’s aspirants.

This is a full-stack development curriculum at the advanced level, and a working professional with more than five years of expertise will work on a variety of elements. In such instances, learning merely the needed knowledge is insufficient; therefore, this course strives to provide advanced level knowledge that is more than sufficient for a working professional.
Simplilearn offers India’s top-ranked postgraduate data science program (online Bootcamp). For advanced data science study, I recommend this platform and course.
Data Science postgraduate program (online boot camp)

This Data Science Bootcamp is suitable for anyone interested in pursuing a degree in data science. Simplilearn offers courses like R, Python programming, and Machine Learning methods, which are all important in the workplace. You can also master NLP concepts and Tableau data visualization in great detail. Interactive learning models with live sessions from global practitioners, practical labs, IBM Hackathons, and industry projects may help you go deep into them.

This boot camp, which was co-developed by IBM, blends online instructor-led classes with self-paced study. This Data Science Postgraduate program culminates in a capstone project that attempts to reinforce the learning and create a real-world product for the industry. The course will equip you to get comprehensive advanced data science expertise that will assist you in becoming a Data Scientist.>>
Coursera is always a recommended platform for anyone because it offers high-quality training from top universities across the world and is the ideal place to learn data science from the ground up.
Johns Hopkins University’s Specialization in Data Science
This course will help you get a great start in your career as a Data Scientist. This is the first of a ten-part series on data science. It was created and taught by Johns Hopkins University’s finest professors.

● GitHub
● Machine Learning>
● R Programming
● Regression Analysis
● Data Science
● R studio
● Data Analysis
● Debugging
● Data Manipulation
● Regular Expression (REGEX)
● Data Cleansing
● Cluster Analysis

The principles and tools of data science are covered in this Specialization course. From asking the proper questions to publishing the results, it will cover the whole data science pipeline. The final Capstone Project will allow you to put your knowledge into practice by building a data product based on real-world data. Students will also be able to create a portfolio to demonstrate their mastery of the course.

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