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“Most exciting job of the 21st century”
– This is what the team at Harvard Business Review quoted recently about Data Science and highly promising prospects associated with the sector.
Several assessments indicate that since its inception, the field of data science has experienced tremendous growth. As the world is becoming tech-savvy, there is a great demand for data scientists and their roles. Companies nowadays need people who can use software and algorithms to simplify large amounts of data and subsequently turn it into solutions that solve problems for them. Professionals who are considering switching to this sector or attempting to obtain certification in data science frequently find themselves uncertain about which options are best fit for them. Given the current circumstances, it is also preferable to choose online courses as they are convenient, easily accessible, and worthwhile in addition to your regular schedule to help you acquire your dream data science job.
You need to be aware of what drives you for your career decision in studying data science online course. If it is strong enough, your logic will keep you online even in the face of obstacles or setbacks. Prior to diving into data science, it’s crucial to decide which field (under Data Science or DS) you want to expertise in.
This blog, ideated and crafted by the experts at AllAssignmentHelp will shed light on this highly demanding subject. Additionally, it will help those interested in pursuing an online degree get their unanswered questions or doubts related to an online data science course.
What is Data Science?
You may have heard the term DATA SCIENCE at least once in a while back. If you work in information technology, you may be familiar with it. If not, you might be intrigued to learn what this buzzword is all about.
Data science is all about utilizing patterns and procedures to process, analyze, clean, and manipulate massive amounts of data to uncover and extract useful insights from it.
This section can assist you in identifying patterns in the data you are examining and in developing new ideas that will enhance your future work.
A course in data science helps nurture and develop such modern ways to handle data in the right way.
Read more: How Learning Science Could Prove Fruitful for You
History of Data Science
The term Data Science was first used by William.S at the beginning of the 21st century. Since its inception as a separate subject, it began to popularise and evolve.
However, the idea related to the subject has been there since the early 18th century! According to John Rauser, a data scientist at Amazon, an astronomer named Tobias Mayer, born in 1723, was the first data scientist to have existed. As per records, Mayer compiled the data points to find the moon’s motion using spherical motion trigonometry; and he did it nine times. Therefore, it was a sort of analysis of data, and analyzing data is data science; hence Tobias Mayer was indeed a data scientist.
Now, let’s come back to the 20th century. In 1962, John W. Tukey first used data science even when it wasn’t officially recognized as a field of study. He predicted the effect of electronic computing on data analysis as an empirical science.
Applications of Data Science
The use and application of data science is vast.
Following are some of the fields where it is used primarily:
Healthcare
Early identification of serious illnesses including cancer, AIDS, autoimmune diseases, and many more can be made with the application of data science. Many lives have been saved by this technology all around the world because most diseases may be controlled or sometimes fully treated if they are discovered at an early stage.
Fraud and Risk Detection
Data science is a common tool used by fraud detection systems to learn how misconduct occurs and utilize that insight to identify any further harmful activity. One of the most popular uses of data science is risk and fraud detection.
Internet Search
Search Engine Optimization and Relevance are the two factors that determine which topics appear on the first page when you conduct a Google search or use any other search engine. The demographic information from these websites’ searches and the ones that visitors are most likely to stay on are used to determine whether the content is relevant.
Airline Route Planning
Deciding what is best for an airplane to reach its target is a difficult task. You must take into account many variables, including which flight will be using the chosen route at the specified time, air traffic during flying hours, and the altitude of every aircraft in use at that moment. Since all of the information is available in dataset form, data science has made the process of planning airline routes simple.
Website Recommendations
You may occasionally see links in blogs, or particular websites may be suggested to you when you conduct research. It is data science that makes this happen.
Targeted Advertising
Data science is responsible for all of the suggestions we receive online, including those for movies, advertisements, and other content. Businesses utilize data science to examine your past searches and promote goods and/or services based on what they predict you will be interested in.
Augmented Reality
When Data Science is used in augmented reality, it becomes possible for several users to track neural networks and ensure optimal machine performance.
Gaming
Another feat of the power of data science is the mapping of controller movements to game movement.
Speech and Image Recognition
By identifying your voice, digital assistants like Siri, Alexa, and Google Assistant can respond to your commands automatically. It is also the work of data science.
Facial recognition is a feature of many modern handheld devices. This feature prevents anyone else from being able to access your gadgets or information stored in it. This technology maps out your attributes and recognizes your face or any image-related searches you perform using a combination of data science and neural networks.
Data science courses are in high demand as they help create professionals who are best able to handle these critical tasks with a high level of efficiency.
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Read more: Data Encryption: A Comprehensive Guide
Key Factors You Need to Consider While Opting for An Online Data Science Course
There are a few key things that you must be aware of while planning to pursue an online data science course. These will help you to choose the right course for you to get the degree and a good job in your desired field of demography.
Let’s see these quickly:
Analyzing the course development process
An eLearning course development related to shaping a data scientist program requires extensive planning and is a labor-intensive job. You must ensure that the instructor and the course adhere to a structured course development procedure to expedite the process.
Although there isn’t a single method to adhere to, it must make sense as it moves through several developmental phases. It is advised that you choose an educator whose methodology makes sense to you and who can complement your methodology.
Course materials
Take into consideration the course syllabus. Make sure the data science course you choose fits your preferred learning style. If you are a hands-on learner, always go ahead with one comprising challenging assignments.
Structure
Think about the course structure. You can complete some courses at your speed by working through the content at your speed. Some are more regimented and have assignment due dates. Think about the format that might be most effective for your learning style.
Challenges
Take a look at the course’s level. Seek a course that starts with the fundamentals and progresses to more complex ideas if you’re a newbie. If you already know the fundamentals of data science. And search for a course that delves further into specific subjects like machine learning.
Pricing
Finally, think about the cost associated with the course. The cost of a data science course might vary from several hundred to several thousand dollars. Think about your spending limit and your willingness to pay for a more expensive course.
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Best Online Data Science Courses for You
Several MOOCs are offering exceptional online data science courses for beginners that you can take to become a professional.
Following are some of the prominent channels as well as course names for you to take a look at:
Edureka
Edureka is an online learning environment that offers classes in a range of technological disciplines. Both certification and postgraduate coursework are offered. Data science, machine learning, and artificial intelligence (AI) are the three fields of technology that have attracted the most attention in recent times.
UpGrad
The goal of the curriculum is to give students up-to-date, employable skills. It emphasizes useful skills that may be used in everyday life. The lecturers for the course have years of experience and are subject matter experts. To solve issues in the real world, students might build their own data models. All the concepts, procedures, algorithms, and technologies necessary for big data and analytics operations are taught to students.
Logicmojo
Developed with insights from advisers at the top 50 tech organizations, Logicmojo’s Data Science and Machine Learning program is one of the most popular online courses in the subject. It is a custom course comprising Live interactive sessions with classes for clearing doubts. They cover every facet of data science, from the fundamentals of programming (binary, loops, number systems, etc.) to ML Engineering (NLP, Reinforcement Learning, TensorFlow, Keras, etc.) and advanced programming (DB and System design, Deep learning, Greedy, Hashing, Predictive modeling, etc.). Whereas, intermediate programming topics include arrays, OOPs, sorting, recursion, etc.
DataCamp
In the DataCamp data science course, you will discover the ins and outs of Python and learn how to use it for data science tasks like natural language processing (NLP) and decision tree training.
Included in the course are:
- Data analysis combined with a hands-on introduction to Matplotlib and data visualization
- Fundamental Python Python courses such as NumPy and Pandas
You will gain practical experience with tasks like exploring Netflix films, learning to code in Python, and using GitHub and the Android App Market.
Dataquest
This web-based resource provides projects and interactive lessons to teach data science skills such as machine learning, machine learning algorithms, data analysis, and Python programming. The platform provides a customized learning experience based on your interests and ability level.
These are but a handful of the excellent data science courses that are offered. Take into account your objectives, hobbies, and degree of experience when selecting a course, and search for ones that provide real-world tasks and chances to put what you’ve learned to use.
Specific online data science courses provided by MOOCs that you need to take a look at:
Data Science by HarvardX
This Harvard University online course covers the basic concepts and techniques of data science, including data wrangling, data exploration, statistical inference, and machine learning. You can apply what you’ve learned through course assignments.
Data Science Specialization by Coursera
All facets of data science are covered in this set of courses from Johns Hopkins University, including regression, machine learning, statistical inference, data cleansing, and visualization. Experts in the subject instruct the courses, which include practical projects to hone skills.
Advanced Certification Data Science & AI online Courses by Digicrome Academy
Digicrome has created a thorough data science course that emphasizes real-world applications and experiential learning. The course covers a wide range of topics, including data analysis, machine learning, and data visualization. These courses are created entirely in English.
Machine Learning by Coursera
The foundations of machine learning, including supervised learning, unsupervised learning, and neural networks, are covered in this Stanford University course. Machine learning pioneer Andrew Ng is the instructor for the course.
Applied Data Science with Python Specialization by Coursera
This set of University of Michigan courses includes Python machine learning, data analysis, and manipulation. The courses feature hands-on projects to help you put what you learn into practice, and they are delivered by experienced educators.
Data Scientist Nanodegree by Udacity
A thorough curriculum including data analysis, machine learning, and data engineering is provided by this online program. It includes practical projects and industry expert mentoring to prepare you for a future as a data scientist.
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Highly Demanding Career Opportunities Post Completion of Online Data Science Course
Organizations want to leverage data to reduce operating costs, improve decision-making, upskill their employees, develop new products and services, and more. As a data scientist, you can become part of that process by gathering, interpreting, and presenting big data to stakeholders and decision-makers clearly and concisely.
Here’s a list of the most popular occupations in the data science industry:
Data Scientist
Large volumes of data will be gathered, cleaned, and arranged for businesses and other entities by a data scientist. You can be employed by SMEs to perform such tasks. In the US, the average pay for a data scientist is annually $122,650.
Data Architect
Among their various duties are building databases, implementing cross-platform apps, and making sure data solutions fulfill performance requirements. In the US, $153,274 is the average compensation for this profession.
Statistician
To assist an organization in making the best decisions possible across multiple departments, statisticians gather, analyze, and interpret data in order to find patterns and links in data sets. Along with using your strong mathematical abilities daily, you will also create procedures for gathering information and disseminating it to the company’s stakeholders. In the United States, the average yearly compensation for this position is a whopping annual $82,215.
Machine Learning Engineer
Behind the scenes, machine learning engineers construct machine learning systems. To keep an eye on computerized systems and applications, you would be the one responsible for constructing data funnels, putting software solutions into practice, and conducting tests. In the US, the average pay for a machine learning engineer is $123,530.
Data Engineer
In this position, you will process data in batches and in real-time and present your results to management, marketing, and technical teams, as well as supervisors. Creating and maintaining data pipelines to provide information to other employees (requiring it) will be among your other responsibilities. A data engineer in the US might earn an average salary of $113,991 every year.
To be able to handle any of the above-mentioned positions, the fundamentals must be crystal clear. However, with a load of academics, often students find themselves in a fruitless state and not able to do well in certain tasks, and assignments or homework are one of the most common ones. In case you are also facing similar hitches with your assignment in Algorithm, without further delay avail algorithm homework assignment help from experts. This way, you will be able to save important course credits related to your online DS course as well as focus on other important academic chores.
Read more: Data Engineering- Essentials, Career Prospects, and Steps to Get Success
Conclusion
Data science is essential to many industries, and the smooth running of government institutions. Data scientists are among the professions with the strongest growth rates, according to the US Bureau of Labor Statistics. Additionally, it stated that through 2030, there will be 31.4 percent more job opportunities in data science. It is significantly larger than the current size of the sector in the United States.
Becoming a data scientist is a rewarding and fascinating career path. A data scientist’s work is more important than ever because data science is influencing every business and area. A career in data science offers countless opportunities, regardless of your motivations: the desire to make significant judgments using data, the prospect of a large salary, or your insatiable curiosity.
This blog is for those who want to take the road less traveled… Best of luck!
Frequently Asked Questions
| Question 1: Can I learn data science online? Answer: There are numerous online data science courses available. If you’re looking to go deeper into programming languages and exploratory data analysis or are eager to learn more about natural language processing and have a great career, you should opt for an online data science course. |
| Question 2: What is the cost of a data science course online? Answer: The average total fee for Certificate and Diploma courses can vary depending on the type of subject, the duration, and the types of services offered through the course. However, the total fee may vary from USD$1050 to USD$20,000. |
| Question 3: Is 3 months enough for data science? Answer: For some, gaining foundational skills might take 3 to 6 months, while achieving a more advanced level of proficiency could take 1 to 2 years or longer. The time required to learn data science depends on your learning goals, prior knowledge, the learning format you choose, and the depth of expertise you aim to achieve. |