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With the ever-growing amount of data, enterprises are starting to realize the competencies of data science. It is a rapidly mushrooming field these days. The immediacy to evaluate data and make the most of it to gain great ROI leads to the growth of jobs in this field. Online learning has had a huge impact on higher education as well as short courses that help in increasing one's skills. Online data science classes have provided a perfect platform to learn and implement new skills. If you want to grasp this opportunity and land a career as a data scientist, you should pursue online data science courses in India. These data scientist classes will help you power your career with industry-ready skills and experiences.
With the enormous generation of data from all over the world, big data has become a significant term in the field of data. So, the professional has to be skilled in these complex data sets called big data as well. And data science is the ideal way to become an all-rounder. There is a broad range of data science courses that explore every aspect of the data science field and equip you with essential skills. Some of the programmes are provided free of cost and others need the data scientist course fees specified by the provides. You can either opt for full-time, part-time, or online data science courses, along with a diploma and PhD. Read on to get familiar with the best data science courses.
- Full Stack Data Science Certification Courses
- Data Science With Artificial Intelligence Certification Courses
What is Data Science?
Refers to an interdisciplinary field of study, data science explores, examines, models, and derives meaningful and actionable insights from data. It helps enterprises in the data-driven decision-making process. Many successful companies of the 21st century take advantage of data science to become data-driven organizations, for example, Google, Amazon, and Facebook.
Sometimes, people will confuse data science with big data analytics. Big Data analytics focuses on handling enormous amounts of data sets (also called data mining) Data science, on the other hand, utilizes machine learning algorithms to design and create statistical models to generate insights from the bulk of big data. If you pursue online data science certification courses, you will understand the difference in a much better way.
Who Can Pursue Data Science Courses?
The field of data science entails a scientific approach to processing voluminous amounts of data. It involves different scientific techniques and theories derived from various fields in the context of computer science, mathematics, statistics, information science, and domain knowledge. Individuals with a background in computer science, chemical engineering, physics, economics, statistics, and mathematics, can pursue data science certification courses.
The eligibility criteria for the data science classes will vary from course to course based on the level of the programme, the institution offering them and the like. To enrol in the online data science course in India, the learners will be required to have the fundamental educational qualification of 10th/10+2 and the beginner-level data science online training can be accessed by anyone who has an interest in the topic and does not damnd any prerequisites. On the other hand, the UG and PG level data scientist classes will need the candidates to meet the eligibility criteria prescribed by the respective institutions. Here are the common requirements for the data science online degree programmes.
- To get admission to UG data science courses, you must have passed Class 12 with 50% marks.
- For admission to PG data science courses, you must have 50% marks in graduation in engineering or equivalent fields.
Important Skills Required for Data Science
As data science is one of the most competitive fields in the job market, the candidates are recommended to have certain skills to be upfront in the career. These essential skills will also be very instrumental for the students who pursue data science classes. The following skills will be an advantage while taking the data science online course in India and the data science online degree.
- Programming languages such as Python, C, C++, or Java
- Data visualization and data ingestion
- Machine learning
- Business acumen
What You Will Learn in Online Data Science Courses
What you can learn in the data science course in India will vary depending on various factors such as the level of the programme, the university/college providing it, the level of the intended audience and the like. The undergraduate and postgraduate data scientist classes will provide more complicated and advanced topics in comparison to the data science online course with certificate. Whereas the level of content of online data science classes will differ on the basis of their nature such as beginner, intermediate and advanced learners. Here are some of the areas the data scientist online course in India covers.
- Programming skills
- Data Analytics
- Financial Modelling
- Data Management
- Data manipulation or communication
Data Sciences Courses by Top Providers
Data Science certification courses are short-term courses that help enhance the required skills and the understanding of the basics of the courses. These best data science courses in India are available both online as well as offline. There are also UG or pre-professional level data science courses aimed at providing specific skills or platform training. Some of them can be pursued by paying the data science course fees whereas others are provided completely free of cost.
With the proliferation of data every day, companies turn to professionals who can make sense of it and provide crucial insights. To cater to this demand, many top educational platforms are offering the best data science courses. Here is our list of some of the top providers offering the best online data science courses.
|IBM Data Science courses||upGrad Data Science courses|
|Udacity Data Science courses|
|Intellipaat Data Science courses|
|Great Learning Data Science courses|
|Emeritus Data Science courses|
Career Opportunities in Data Science
In today’s digitally connected world, almost every organization collects large amounts of data in their daily operations. With every step of browsing online and the interaction with technology, data is interchanged. This is where a data scientist plays a crucial role, assessing the data collected, excerpting information, and interpreting the results for organizational growth. With increasing amounts of data and the urgency to elucidate them, data science is dynamically growing. As a result, the career opportunities in this field and the demand for professionals are surging intensively.
Some of the attractive data science careers are:
Data Science Salary Trends
Data Science is a growing field and is high in demand nowadays in the job market with top recruiters looking for data science professionals with high potential and skills. While it is one of the sought-after career options in India, the average salary of a data scientist is Rs. 822,895. Depending on experience, additional skills, and organizations, you can make good money in this interdisciplinary field. The salary scale of data science professionals may also vary in other countries and may be higher in other countries like the US, the UK and the like. The table below shows the experience-level salary package one can expect after the data science classes.
Data science salary based on experience level
Average Salary (INR)
Less than 1 year
More than 20 years
*The salary trends are based on salary reviews by PayScale
Scope of Data Science
The 21st-century world is completely ruled by data making it the lifeblood of organizations. From MNCs to startups, each organization nowadays generates and stores a massive amount of data, thereby increasing the need for and roles of data scientists. With the right education and skills, you will experience a bright career outlook in data science. As individuals and organizations continue to produce massive data, jobs in this field continue to soar. According to LinkedIn, there has been an increase of 650% in data science jobs since 2012. The U.S. Bureau of Labor Statistics predicts 11.5 million new jobs in this field by 2026.
Top Data Science Recruiters
Almost all companies have come to the realization: that to beat the competition and remain on top, they need to know what the market wants. Data science professionals can make sense of complex data and provide insights. It is highly recommended for professionals looking for a job opportunity to upskill themselves with skills and knowledge as the industry is highly combative. Here are a few top recruiters you can look out for after the completion of data science courses.
- Fractal Analytics
Q: What are the prerequisites for online data science courses?
A: Generally, data science courses demand students to have a basic understanding of mathematics, programming and statistics. Depending on the provider, some courses may also set the criteria of prior experience with one or more specific coding languages such as Java, Python, R, or Scala.
Q: What topics are typically covered in online data science courses?
A: Data science courses discuss, in general, the topics related to artificial intelligence, machine learning and data analysis, namely, regression models, deep learning architectures, NLP and the like. However, there may be a bit variations in areas discussed based on the providers.
Q: Which providers offer online data science courses?
A: As data science is one of the most demanding areas, all the providers have online data science courses on their platforms. Some of the providers offering data science courses are IBM, EdX, Coursera, Udacity and many others.
Q: What are the career opportunities available after the data science courses?
A: After the data science courses, the professionals have various career options to pursue including data scientists, data analysts, data engineers and whatnot.
Q: Which are the companies that hire data scientists?
A: High-profile companies including IBM, Deloitte and Accenture are the major recruiters of data scientists.