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The Top 5 Data Science Courses
Introduction
For this article, I will focus on the top Data Science courses on Udemy, decided by Udemy [2]. In the past, I have looked into Kaggle, another prominent platform that shared knowledge on all things Data Science. I wanted to branch out and include courses on a platform where nearly 4 million students are learning Data Science. The top courses are also known as the most popular on Udemy; there are also the highest-rated and newest. I wanted to first talk about other platforms that were free, so I do have an article on those topics, which I will include at the end of this article. For now, these Udemy courses all cost around $100. I will outline the main features of each of the top five data science courses on Udemy below.
Included in each course section in this article will be what is included, some useful facts about the course, and what is unique about the course — what separates them from the other respective courses on Udemy.
Udemy
As mentioned earlier, nearly 4 million students are on Udemy for just Data Science alone, so you can validate that these course information, reviews, and benefits are up to a high standard. I wanted to attest that the knowledge in these courses is something worthy of your investment, as I am a Senior Data Scientist who has primarily learned online from courses like these.
I would like to include more courses from other platforms, but for this article, the focus will be on Udemy. Feel free to comment down below any platforms or websites you would like to see me write about.
Machine Learning A-Z™: Hands-On Python & R In Data Science
Our top course includes all things Machine Learning with not only Python programming language practice, but R as well. There are 10 main parts included in this course, all including very valuable key concepts of Data Science. At this moment, the course has a 4.5-star rating out of 5 stars with nearly 130,000 ratings, costing $104.99 [3].
Machine Learning A-Z (Python & R in Data Science Course)
What is included?
You can expect to learn a myriad of skills and concepts like:
- Python and R
- Accurate predictions
- Robust Machine Learning models
- Dimensionality Reduction
- Intuition
- Powerful analysis
- Added value for your business
- Reinforcement learning, NLP, and Deep Learning
- Knowing which Machine Learning model is for each problem
Some other important stats to know are that there are:
45 sections
323 lectures
44h 30m total length
To set these popular courses apart, I will also be outlining unique features about the courses, as most of them are all-inclusive in Data Science.
What is unique?
- Apriori associate rule learning — in both Python and R
- Eclat associate rule learning — in both Python and R
It is recommended that you have some basic mathematics knowledge at the high school level. Most people who use this course are interested in Machine Learning, who are not as comfortable with coding, and want to start a career in Data Science. You can, of course, also utilize this course to brush up and improve upon your current kills, as well as making your resume more competitive.
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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
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'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
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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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Data Science Course in Bangalore | Data Science Training Bangalore - 360DigiTMG
“Are you looking for a Data Science Course Training Institute in Bangalore🧐 ? We are a leading training institute that provides International credentials for training in Data Science. Our students get exposed to real-life experiences through live projects and plenty of assignments. With world-class faculty in the field of Data Science, learn to develop an understanding of Predictive and Descriptive Analytics and understand Data Structure and Data Manipulation. Join us if you are looking for a good training institute for Data Science in Bangalore to head start your career in this broad field of Data Science. We are located in HSR Layout, Bangalore. Feel free to get in touch with us for more information 📞 1800 212 654321”
Data Science Course in Bangalore
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Data Science Course Online - Top Data Scientist Training Program
While the unmistakable decision is go with Python as opposed to Go for Data Science. Since Python has tremendous advantages to it that basically can’t be coordinated by Go. Python is an Object-Oriented Programming Language that is open-source and has a huge local area base supporting it, refering to its high coherence, simpler punctuations, dynamic language, enormous arrangements of libraries, for fluctuating spaces not just for Data Science, and so on for which Go doesn’t get an opportunity to stand. Thus, you could settle on Python for Data Science. On the off chance that you wish to learn Python for the Data Science area, look at the Python for Data Science course from this website, which offers you with great instructional class alongside guided ventures that are pointed toward improving your reasonable abilities
#data #science #data science #data science course #data science course online