Best 5 Data Science Courses for Better Job Opportunities

Best 5 Data Science Courses for Better Job Opportunities

Data science is a rapidly growing field, and it has become a popular choice for many professionals looking for a lucrative and challenging career. With the increasing demand for data scientists, there is no better time to invest in learning this skill than now. However, with so many options available, it can be challenging to choose the right course. To help you out, we have compiled a list of the best data science courses in 2023 that can help you secure better job opportunities.

Data Science Specialization by Johns Hopkins University

This course is offered on Coursera and covers the fundamentals of data science, including statistical inference, data exploration, and data visualization. It consists of nine courses that can be completed in about ten months, and it includes hands-on projects to help you develop practical skills. This course has a rating of 4.6 out of 5, with over 500,000 enrolled learners.

Applied Data Science with Python Specialization by University of Michigan

This course is also offered on Coursera and is designed to teach you how to apply Python programming skills to real-world data analysis problems. It consists of five courses that can be completed in about six months, and it includes several case studies and projects to help you build a portfolio. This course has a rating of 4.5 out of 5, with over 100,000 enrolled learners.


Dataquest is an online learning platform that offers interactive courses in data science, machine learning, and data engineering. Their courses are project-based, which means you will be working on real-world problems from day one. They offer a free trial and have flexible pricing options, making it an affordable choice for learners. Dataquest has a rating of 4.8 out of 5, with over 10,000 learners.

HarvardX Data Science Program

HarvardX Data Science Program is a comprehensive program that covers the entire data science pipeline, from data collection and cleaning to machine learning and communication. It consists of eight courses that can be completed in about nine months, and it includes several case studies and projects to help you develop practical skills. This course has a rating of 4.5 out of 5, with over 10,000 enrolled learners.

IBM Data Science Professional Certificate

This course is offered on Coursera and is designed to teach you the essential skills needed to become a successful data scientist. It consists of nine courses that cover topics such as data analysis, data visualization, and machine learning. It includes hands-on projects that help you develop practical skills and build a portfolio. This course has a rating of 4.6 out of 5, with over 150,000 enrolled learners.

Check out our table below to see the top data science courses for 2023, with ratings, reviews, and durations:

Course TitleProviderRatingReviewsDuration
Data Science SpecializationCoursera4.6/530,000+10 months
Applied Data Science with PythonCoursera4.6/54,000+5 months
IBM Data Science Professional CertificateCoursera4.5/56,000+8 months
Introduction to Data ScienceedX4.6/51,000+4 weeks
Data Science BootcampSpringboard4.8/52500+6 months
Data Science and Machine Learning BootcampUdemy4.5/55,000+14 weeks
Machine Learning A-ZUdemy4.5/5200,000+42 hours

As you can see, there are a variety of courses available that cover different topics and have different durations. With so many options to choose from, it’s important to consider your goals and learning style when selecting a course. Be sure to read the course descriptions, reviews, and ratings carefully to find the best fit for you.

Wrap Up!

Taking a data science course can be an excellent investment in your future career, as it can help you build skills and knowledge that are highly valued by employers. Whether you’re just starting out in the field or looking to take your skills to the next level, there’s a course out there that can help you achieve your goals. So why wait? Start exploring your options today and take the first step towards a rewarding career in data science!

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#datascience #job #opportunities 

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Best 5 Data Science Courses for Better Job Opportunities

15 Latest Data Science And Analyst Jobs To Apply For

For this week’s latest data science job openings, we have come up with a curated list of job openings for data scientists and analysts from last week.

Data Scientists Openings

Data Science Lead at Paytm Money

Location: Bangalore


#data science job search #data science jobs #data science jobs in india #latest data science job openings #latest data science jobs #onboarding data science jobs

Is There An Upswing In Data Science Jobs in India

With the world starting to open amidst the COVID-19 pandemic, the number of jobs available in data science sees an upward trend in India as we inch closer to providing vaccines for everyone.

The number of vacancies for data science jobs on the top job portals in India increased by 53% from when India eased the lockdown restrictions on June 8 to Nov 30, according to the data collated by AIMResearch. Although it is difficult to ascertain the exact number of open jobs, the top job portals in India, Naukri, LinkedIn, and MonsterIndia together showed almost 125,000 vacancies on Nov 30.

However, the pandemic did result in a decrease in the number of open data science jobs at the start as vacancies reduced from 101,562 from Dec 17 last year to 81,704 on June 8. Despite this decrease, India’s share of open data science jobs in the world increased from 7.2% in January to 9.8% in August.

#data for covid #data science after covid #data science jobs #data science jobs after covid #rising number of data science jobs #upswing in data science jobs

Uriah  Dietrich

Uriah Dietrich


How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.

“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

#careers # #data science aspirant #data science career #data science career intervie #data science education #data science education marke #data science jobs #niit university data science

'Commoditization Is The Biggest Problem In Data Science Education'

The buzz around data science has sent many youngsters and professionals on an upskill/reskilling spree. Prof. Raghunathan Rengasamy, the acting head of Robert Bosch Centre for Data Science and AI, IIT Madras, believes data science knowledge will soon become a necessity.

IIT Madras has been one of India’s prestigious universities offering numerous courses in data science, machine learning, and artificial intelligence in partnership with many edtech startups. For this week’s data science career interview, Analytics India Magazine spoke to Prof. Rengasamy to understand his views on the data science education market.

With more than 15 years of experience, Prof. Rengasamy is currently heading RBCDSAI-IIT Madras and teaching at the department of chemical engineering. He has co-authored a series of review articles on condition monitoring and fault detection and diagnosis. He has also been the recipient of the Young Engineer Award for the year 2000 by the Indian National Academy of Engineering (INAE) for outstanding engineers under the age of 32.

Of late, Rengaswamy has been working on engineering applications of artificial intelligence and computational microfluidics. His research work has also led to the formation of a startup, SysEng LLC, in the US, funded through an NSF STTR grant.

#people #data science aspirants #data science course director interview #data science courses #data science education #data science education market #data science interview

Ananya Gupta

Ananya Gupta


What Are The Advantages and Disadvantages of Data Science?

Data Science becomes an important part of today industry. It use for transforming business data into assets that help organizations improve revenue, seize business opportunities, improve customer experience, reduce costs, and more. Data science became the trending course to learn in the industries these days.

Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction. In online Data science course you learn how Data Science deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions.

Advantages of Data Science:- In today’s world, data is being generated at an alarming rate in all time lots of data is generated; from the users of social networking site, or from the calls that one makes, or the data which is being generated from different business. Because of that reason the huge amount of data the value of the field of Data Science has many advantages.

Some Of The Advantages Are Mentioned Below:-

Multiple Job Options :- Because of its high demand it provides large number of career opportunities in its various fields like Data Scientist, Data Analyst, Research Analyst, Business Analyst, Analytics Manager, Big Data Engineer, etc.

Business benefits: - By Data Science Online Course you learn how data science helps organizations knowing how and when their products sell well and that’s why the products are delivered always to the right place and right time. Faster and better decisions are taken by the organization to improve efficiency and earn higher profits.

Highly Paid jobs and career opportunities: - As Data Scientist continues working in that profile and the salaries of different position are grand. According to a Dice Salary Survey, the annual average salary of a Data Scientist $106,000 per year as we consider data.

Hiring Benefits:- If you have skills then don’t worry this comparatively easier to sort data and look for best of candidates for an organization. Big Data and data mining have made processing and selection of CVs, aptitude tests and games easier for the recruitment group.

Also Read: How Data Science Programs Become The Reason Of Your Success

Disadvantages of Data Science: - If there are pros then cons also so here we discuss both pros and cons which make you easy to choose Data Science Course without any doubts. Let’s check some of the disadvantages of Data Science:-

Data Privacy: - As we know Data is used to increase the productivity and the revenue of industry by making game-changing business decisions. But the information or the insights obtained from the data may be misused against any organization.

Cost:- The tools used for data science and analytics can cost tons to a corporation as a number of the tools are complex and need the people to undergo a knowledge Science training to use them. Also, it’s very difficult to pick the right tools consistent with the circumstances because their selection is predicated on the proper knowledge of the tools also as their accuracy in analyzing the info and extracting information.

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