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What are the Best Courses for Data Science Beginners?

Introduction:

Today’s market is changing in an incredible way with the increasing buzz around AI and Machine Learning. Data science aids these new technologies by finding solutions to problems by combining similar data for future use. Data science roles are very well paid and multifaceted in terms of industries and tools.

What is Data Science?

The simplest way to define data science is ‘to extract actionable information from raw data.’ This multidisciplinary field has the primary goal of identifying trends, patterns, connections, and correlations in large data sets.

Why is Data Science important?

Data science is vital for improving marketing. Big data and data science are the major factors that enable future growth.

Data is generated from various sectors and platforms including social media, phone data, e-commerce sites, healthcare surveys, internet searches, etc. Data science is about analyzing, visualizing, extracting, managing, and storing data to create insights from process analysis. These insights and reports help companies analyze their marketing strategies, make powerful data-driven decisions, and create better advertising.

How can a beginner benefit from data science?

Learning data science can be pressuring. Particularly, when you are just starting your journey. How to learn data science? Which tool should I learn? Is it R or Python? Which techniques should I give priority to? Should I learn to code? How? The doubts are endless.

Since data science is a high-growth, in-demand career field with strong job prospects, this is a great time to find out whether becoming a data scientist is the right next career for you.

Indeed you can learn data science without a bachelor’s degree or an advanced degree. Although most job postings have a master’s degree or Ph.D.

In engineering, computer science, mathematics, or statistics, the demand for data scientists far exceeds the supply, which means companies are open to hiring non-traditional applicants. Moreover, many megacorps like Google, Apple, and IBM are hiring candidates with no degree in their companies.

  • Choose what role you want to play

First and foremost you should know which career path you want to choose and who you want to be. The field of data science is vast and offers wide opportunities for beginners and professionals to be successful.

You can check out:

  1. Data Scientist
  2. Machine-Learning Engineer
  3. Machine-Learning Scientist
  4. Application Architect
  5. Data Architect
  6. Data Engineer
  7. Statistician
  8. Data Analyst
  9. Business Intelligence Analyst
  10. Marketing Analyst
  • Focus on the practical application, not theory

It is a known fact that everything we learn needs to be put into practice for our brain to take hold. Only theoretical knowledge is meaningless if you do not know how to apply the process in practice. Practical knowledge is always given priority as compared to theoretical knowledge.

  • Work on your communication skills

Communication is the key to a successful career in any organization or wherever you may go. In any career path, you will need to communicate valuable information with your coworkers and clients. So having good communication skills is a requisite. Interpersonal communication skills are highly recommended. To share your views with a colleague or to prove your point in a meeting, you must know how to communicate efficiently.

  • Basic database knowledge and SQL

Knowledge of the basics of big data as well as data storage techniques will make you a lot more friendly than a person with hi-fi terms on a resume, this is because organizations are still figuring out their data science needs

  • Polish your math skills

If you are good at math and quantitative analysis, data science should be uncomplicated for you.

  • Take up a Course

Studying computer programming in high school is an added advantage. Students study fundamentals as well as advanced concepts in Data Science. Based on subject knowledge of statistics, machine learning, and programming, students become experts in applying data science methods to the practical world.

Students from other disciplines like business studies are also eligible for relevant courses in data science. Likewise, business professionals with a basic degree in business administration can opt to do higher studies in the data science domain.

  • Take the right course in the right organization

Having a clear understanding of what you want to be and what career path you want to choose will help you in more ways than one. After taking a proper decision on that, you have to choose the right organization to get the training.

Join Certified Data Science, Diploma in Data Science, and Data Science Foundation courses from DataMites, specially designed for freshers like you.

Data Science has become the most sought-after career option for job seekers. If you are looking forward to building your career in this domain, the first step towards success is obtaining all-inclusive training in Data Science from DataMites. The course is accredited by the International Association for Business Analytics Certification which is a global certification.

About Data Science Team

DataMites Team publishes articles on Data Science, Machine Learning, and Artificial Intelligence periodically. These articles are meant for Data Science aspirants (Beginners) and for those who are experts in the field. It highlights the latest industry trends that will help keep you updated on the job opportunities, salaries and demand statistics for the professionals in the field. You can share your opinion in the comments section. Datamites Institute provides industry-oriented courses on Data Science, Artificial Intelligence and Machine Learning. Some of the courses include Python for data science, Machine learning expert, Artificial Intelligence Expert, Statistics for data science, Artificial Intelligence Engineer, Data Mining, Deep Learning, Tableau Foundation, Time Series Foundation, Model deployment (Flask-API) etc.

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