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How to Choose the Right Data Science Course Based on Your Background

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Picking a proper data science course might make a lot of difference in your career, which can be both good and bad (depending on the options available and provided). So, whether you are a fresh graduate or changing careers or already working in the industry and just looking to upskill, getting the right data science course can make all the difference in understanding & credibility.

With this article, we will help you to decode how to select the right data science course as per your education and career experience and why Simplilearn is one of the best options to choose for pursuing data science courses.

The Necessity of Choosing the Right Data Science Course

Data science is a field that combines programming, statistics, machine learning and domain knowledge. For example, you might feel frustrated and may progress more slowly if you try to take an advanced course but do not have the foundational knowledge that is required. Or else, you can opt for a course that meets your experience level of learning from the beginning phase to get relaxed learning and results.

Before opting for a data science course, evaluate your background

Before enrolling, assess your:

  • Qualification (e.g. Mechanical engineer, B.A., Graduation in comm,BCA)
  • Work experience (whether it be in technical or non-technical job roles)
  • Mathematics and programming skills
  • Future career aspirations (data analyst, data engineer, machine learning engineer)
  • Based on your answers, you will find out whether a beginner course suffices or an advanced specialisation.

Data Science Courses for Beginners

If you are a complete beginner in programming or analytics, search for courses that start with the very fundamentals of Python, statistics and data visualisation. Simplilearn is one of the few platforms offering beginner-friendly data science courses to help you get started with a solid foundation.

Here are a few of the examples of Topics you will Learn in Simplilearn Data Science Certification Training Course :

  • Python for Data Science
  • Data Analysis and Visualisation
  • Statistical Concepts
  • Machine Learning Basics

The objective behind these courses is simply to introduce complete beginners to the world of data science without presuming any prior knowledge.

Professional Background: Some Technical Education

For example, if you are from an IT, Engineering or Analytics background, then you can go for intermediate or advanced courses which take a deeper dive in understanding machine learning algorithms, big data tools and predictive modelling.

Simplilearn offers specialised courses like:

  • Advanced Machine Learning with Python
  • Big Data and Hadoop
  • Deep Learning Specialisation

Building on basic programming knowledge and a little bit of data understanding, these courses allow you to learn fast and use your skills in practical problems.

Data Science for Non-Technical Professionals

If you hail from a background such as business, marketing, finance, etc., then the right course should help fill your knowledge gap by laying more stress on applied data science concepts.

You can check out Simplilearn Data Science for Business Leaders and Simplilearn Data Science and Business Analytics. They focus on:

  • Business applications of data science
  • Understanding data-driven decision-making
  • Simple Programming with less code
  • Data insights with tools such as Excel, Tableau, and SQL

These courses let non-technical people learn data without going all in with more difficult programming-heavy content.

Why Go for Simplilearn For Data Science?

Simplilearn is unique in offering over 400 hours of practical learning, including real projects, industry-aligned content, live classes, and tailor-made Electives that precisely match the skills needed for various learner journeys. Here’s why:

  • Instructor-Led Training: Courses are designed and delivered by professionals from the industry who are certified.
  • Practical hands-on: Do projects, case studies to provide you with a real picture of how things are working behind the scenes.
  • Flexible Learning-Self-paced, instructor-led, and blended learning options for different schedules.
  • Get industry-recognised certifications.
  • Career Help: Job leads, resume assistance, and Q&As with published authors.

Such a 360-degree approach covering all bases of data science learning makes Simplilearn the choice of professionals at A-Z levels in their echo system of data science journey.

How to Choose a Data Science Portfolio Course

Do the Right Course Level Based on Your Background: Do Not Rush for advanced courses if you have poor basics.

  • Review the Course Curriculum: Make sure to cover all of your career goal-oriented topics.
  • Opt for Hands-On: Practice assignments and projects enrich learning.
  • Check Certification Value: Go for courses that provide well-recognised certifications, as certification matters a lot in getting a job.
  • Reviews & Ratings: Feedback from former students can provide a lot of information about the quality of the course.

Conclusion

It is important to choose the data science course(s) while considering your background in a manner that you can learn fast and find better career prospects faster. For beginners, technical professionals, or those switching from a non-technical role, Simplilearn’s course list has got your every need covered.

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