You are aware of the fact that data is ruling the world and we are in the age of the 4th industrial revolution. Nearly 2.5 exabytes (one billion billion) of data is generated every day, and the rise for data professionals has increased.
So, now you may ask why do we need data?
How do Industries make use of data?
Why is data a precious asset, now?
Well, the answer to all your queries is how organizations are transforming their products through “Data”. Data science is a fancy terminology used in recent days before complex problems were solved by statisticians. The statisticians are experienced in Data Analysis and the company’s performance and sales are dependent on it.
The origin of a computing process, cloud storage, analytical tools, and programming concepts have combined with statistics and gave birth to Data Science.
Importance of data science
Data is the backbone of all the industries to make necessary Data-Driven decisions. A data scientist is an expert to change the raw data into meaningful insights, and every company requires a data professional to make the right decision.
Data scientists are skilled in problem-solving and are skilled in identifying patterns in data. The data professional ultimate goal is to find unnecessary samples and acquire useful information.
Data science is implemented in many domains, like marketing to create better ads, customer acquisition to understand their requirements, innovation for the conventional design, and much more. In the end, data scientists make the business grow in better ways. If you’re planning to kickstart your career in data science, the internet is your best resource.
New Trends in Data Science-Related Courses
More students now want to complete entire degree programs in data science online in increasing numbers. For several reasons, starting with affordability, you can earn a degree from Coursera at a fraction of the price of your on-campus peers while still receiving an excellent education.
Another important factor is flexibility; for example, if you already work full-time, completing your data science education on your schedule rather than taking time off from your position is a great benefit.
Online courses are becoming more appealing as data science courses become more and more popular on campuses. Many students who desire to enroll in these courses on campus discover that they are overenrolled or otherwise so packed that it is not easy to hear lectures.
Online students can watch lectures on their own time and in a focused setting, thanks to footage from previous classes, while virtual office hours give regular access to professors. Thus, online courses can make learning more available to aspirant data scientists.
The name on your diploma is not something you have to give up just because you are learning online. Data science degrees are available through Coursera from prestigious universities like the University of Illinois, Imperial College London, University of Michigan, University of Colorado Boulder, and National Research University Higher School of Economics.
Who Needs to Study Data Science?
Data scientists should be analytical thinkers who enjoy coding and dealing with data. Data scientists work primarily on computers. Therefore, it is critical for students to feel at ease studying various coding languages.
Data science is a great subject if you are interested in machine learning, deep learning, or artificial intelligence. Strong communication skills and pressure tolerance are requirements for data scientists. Data scientists frequently collaborate in teams on a single project. Thus, excellent team players and planners should be ideal candidates for mastering the field.
Careers Available to Data Scientists
A position as a junior or associate data scientist is the most typical career path for someone in data science. The next step for a data scientist is to pursue a master’s degree or Ph.D., become a senior data scientist, or work as a machine-learning engineer after acquiring some job experience.
You could then pursue a degree and work as a principal data scientist or data scientist architect after that.
After studying data science online, understanding the career paths available to you broadens your perspective on the courses. It helps you find related courses while learning to help you improve your knowledge of data science.
The fact that a data scientist can work in any business is one of the most interesting aspects of the job. Some people work in finance, reducing risk and spotting data anomalies using algorithms that can foretell fraud. Others work in sales and marketing, assisting their teams in identifying their target markets and tailoring the customer experience.
There are millions of options available to learn data science online and read more to learn Which online course is best for data science.
But before that, we need to get an overview of the skill set that’s necessary to become a data scientist.
What are the skills required to become a data scientist?
Can I learn these skills online?
Yes, you can find an unlimited number of courses online.
Are the online courses free?
Yes, for a limited time! Some courses offer a 7-day or 14-day trial period to avail of the complete course. A few courses are designed in a unique way to familiarize you with concepts like basic level to intermediate and advanced with exercises to practice. You can also become a part of the free courses by cracking basic interview-level questions or participating in hackathons.
How can I find the course online?
When you hit the search bar to learn something, you’ll get a great number of options. Likewise, data science courses have abundant to offer for the learners. Picking something good out of a pile is not a cakewalk. Let’s reduce the burden that’s on your shoulder as we have created a list of courses you can go for it; to become a data scientist. Coursera is your one-stop solution for all your data science-related doubts and here you can find the best data science courses on Coursera.
Check this out -> 10 Best Online Masters in Data Science that is worth grabbing in 2022
What is Coursera?
Coursera is the largest online course provider, partnered with more than 200 universities, internationally. Apart from universities, many companies collaborate with Coursera to offer job-relevant skills that are recognized worldwide. They also offer a wide range of learning opportunities, from hands-on projects and courses to job-ready certificates and online degree programs. You can find the best data science courses on Coursera that are in-demand and job-ready skills.
Coursera is specially designed for data science enthusiasts for skill development, through short-term and long-term courses. It’s a global online learning platform that provides access to online courses and degrees from internationally accredited universities and companies.
As a beginner, you should be familiar with programming concepts and tools to gather, clean, and analyze the data, like python and R.
Basics of Data Science
Python is widely used in data science as it is an easy-to-learn programming language. It provides a great number of libraries with huge data science applications. The syntax is simple and makes people adapt to the language hassle-free. You can find the Best Python Data Science on Coursera, available at an affordable cost.
R is a programming language for statistical computing. Like python, R is also involved in data science, like statistical analysis and data visualization. In general, R is enriched by an ecosystem with complex data models and tools used for data reporting.
Also, SQL is essential for data scientists to handle structured data and store it in relational databases. It’s advised to have a good knowledge of SQL commands to deal with Big Data tools.
Are you looking for an online course to learn python and kickstart your data science journey?
Coursera is the best place to enroll for the courses right from basic to advanced level. You can also get a degree from Coursera with many specializations.
Also Read: Top 10 Best Data Science Scholarships 2022: You Should Not Be Missing
List of the Best Data Science Coursers on Coursera –
Here’s a list of the top 10 and the best data science courses on Coursera:
The course is designed for everyone irrespective of educational background, like programming or non-programming. Python will introduce you to fundamental concepts of programming, such as data structures, database, and network application program interfaces using python. Upon completion of the course:
- You will understand techniques, like lambdas and manipulating CSV files
- You will be able to describe common python functionality
- You will be able to use query data frame structures for cleaning and processing
- You will be able to explain statistical terms, distributions, sampling, and t-tests
The course is offered by the University of Michigan to add academic value for developing leaders and enrich the future. There are 4 courses included in this specialization. The course starts from 3,686 INR.
The course is offered by the University of Michigan and to continue with the course you must know python. Core subjects involve statistical, machine learning, text analysis, and social network analysis with python toolkits, like pandas, matplotlib, scikit-learn to draw insights from the data. There are 5 courses included in this specialization. The course starts from 3,686 INR.
The course is offered by IBM to pursue a career in data science by teaching the basic skills to get started with the in-demand field. It consists of 5 self-paced courses which have open-source tools and libraries, python, statistical analysis, SQL, and relational databases. You will be exposed to the data science prerequisite skills with hands-on practice using real-time examples. There are 5 courses included in this specialization. The course starts from 2,934 INR.
The course is offered by the global leader in business transformation, IBM. you will learn the importance of data science and the transition of a data-driven world. The course includes defining data science and what are the roles and responsibilities of data scientists? What are the main topics of data science relevant to business?
The course is part of multiple programs.
The course is created to provide fundamental skills for data scientists to start a career in data science. You can start the course without any prior knowledge of any programming languages. Key concepts covered in this course are big data, statistical analysis, and relational databases. You will be familiarized with open source tools, like Jupyter Notebooks, RStudio, GitHub, and SQL. There are 4 courses included in this specialization.
In this course, you will develop hands-on skills with tools(Jupyter, GitHub, RStudio, and Watson Studio), language, libraries (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), and methodologies to think like a data scientist. Upon completion, you will learn to import and clean the data sets, analyze data that are used to build and evaluate machine learning models using python. There are 10 courses included in this specialization.
This course focuses more on data analysis tools, like excel, SQL, and python, which is offered by IBM. The prerequisites for the course are basic computer skills and math to enrich the in-demand skills. There are 9 courses included in this professional certificate. The course starts from 2,934 INR.
Note: After course completion, you will receive a digital badge from IBM.
Also Read:How good is udacity’s data analyst nanodegree?
The course is offered by Google and includes topics of data analytics. You can learn the skills within 6 months with no prior experience needed. Key topics involved in analytics are tools, like Excel, SQL, R, programming, and Tableau. The skills you will gain are data cleaning, problem-solving, critical thinking, data ethics, and data visualization. There are 8 courses included in this professional Certificate. The course starts from 1,000 INR.
This course is offered by Johns Hopkins University and partnered with SwiftKey and Yelp. Upon completion of the course:
- You will be able to use R to clean, analyze, and visualize data
- You will be able to create and use GitHub to manage data science projects
- You will be able to navigate the data science pipeline from data acquisition to publication
- You will be able to perform regression analysis, least squares, and inference using regression models.
There are 10 courses included in this specialization. The course starts from 3,686 INR.
The course is offered by Johns Hopkins University and partnered with SwiftKey. You will be able to build models, make inferences, and deliver interactive data products using regression, statistical, and machine learning.
- You will be able to perform regression analysis, least squares, and inference using regression models
- You will be able to build and apply prediction functions
- You will be able to develop public data products
- You will be able to understand how to get meaningful insights from data
There are 5 courses included in the specialization. The course starts from 3,686 INR.
So this was the list of the best Data Science Courses on Coursera. Hope you liked the list and get an understanding for selecting the best course for yourself.
Overview of the list –
|Name of the Course||Number of Specializations Included|
|Introduction to Data Science in Python||4|
|Applied Data Science with Python Specialization||5|
|Data Science Fundamentals with Python and SQL||5|
|What is Data Science?||Already a part of Multiple Programs|
|Introduction to Data Science Specialization||4|
|IBM Data Science Professional Certificate||10|
|IBM Data Analyst Professional Certificate||9|
|Google Data Analytics Professional Certificate||8|
|Data Science Specialization||10|
|Data Science: Statistics and Machine Learning Specialization||5|
Must see -> 7 Benefits Of Learning Data Science Online That You Need To Know
What are the benefits of getting a course/online degree on Coursera?
Let’s check some of the points which are the benefits of getting an Online degree from any one of the best Data Science Courses on Coursera.
- You will receive a completion certificate, which can be shared on LinkedIn to get noticed by the recruiters.
- You will receive Badges from IBM and most of the certificates are university accreditation.
- You can attend the classes online as per your schedule.
- You can set and maintain your deadlines.
- You don’t have to worry about the prior experience to start at the beginner level.
- You will need approximately 8-9 months to complete (3-4 hours/week).
- You can find the course in multiple languages, like English, Arabic, French, European, and much more.
How do I enroll in a course?
Look for a course that’s apt for you and register with your active email ID to get a 7-day free trial. After that, you can subscribe to the complete course.
Can I enroll in a complete module or single course?
Yes, you can enroll for both a single course and a complete module. After completion, of course, you will get a shareable certificate. You will be provided with a dashboard to track your learning progress.
Is there financial aid?
Yes, for most courses Coursera offers financial aid to the learners. Once you click the Financial Aid link, you will be navigated to complete the application process.
Are the courses free?
No, you can go through the course syllabus for free. However, if the course is not affordable, you can apply for financial aid provided by Coursera.
Are the classes completely online?
Yes, the classes are 100% online. You can view the class recordings upon subscription and complete readings and assignments anywhere, anytime via website or app.
How can I earn a badge from IBM?
There are certain courses offered by IBM right from basic to intermediate and advanced levels. After completing each course you will receive an email from Acclaim with IBM Badge to recognize your expertise.
What career options can I expect in the data science field?
The initial path to a data science field job is an Analyst role. Followed by a business analyst, data analyst, data architect, data engineer, data scientist, machine learning engineer, marketing analyst, operations analyst, and quantitative analyst.
What’s the duration needed to complete the specialization?
You need a minimum of 3-4 weeks to complete the courses and 3-4 months for the entire module.
Do I need any experience or background knowledge?
Certain specialization needs prior knowledge of programming and statistics. To complete a single course that’s at a basic level doesn’t need any Data Science skills or Programming experience.
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