10 Best Online Platforms To Learn Data Science | 2023
What is Data Science?
Data science is the process of collecting and analyzing data – both structured and unstructured – in order to generate insights and knowledge that companies can utilize to develop effective strategies. Data scientists may uncover trends and provide recommendations to stakeholders that will help them locate new market possibilities, improve efficiency, cut costs, and gain a competitive edge in their sector by collecting and analyzing long-term data patterns.
Why study Data Science?
Rapid technological advancements, particularly in mobile advertising, social media, and website personalization, are generating enormous amounts of data every day. These massive amounts of data have forced sectors to become more data-savvy and adapt to the new environment, or else they risk being left behind by the competition. Data Science has become a necessity for both public and private organizations. As a result of this demand, universities have begun offering data science courses to students from a variety of backgrounds.
What Does a Data Scientist Do?
Make sure you understand what data scientists perform before picking which Data Science education program is right for you. For the most part, they’re looking for flaws in current data analytics and devising new methods for finding and fixing them. Data scientists are involved in all phases of the project’s lifecycle, from selecting the best datasets for analysis to gathering structured and unstructured data from a variety of sources, cleaning and validating the data, developing algorithms to mine the data, and presenting the results to key stakeholders.
Coursera
Coursera is a well-known online education platform that provides massive open online courses (MOOCs), specializations, and degrees in a variety of areas, including data science, machine learning, and artificial intelligence. MITx, Harvard University, the University of Toronto, Johns Hopkins University, the University of Michigan, and a host of other prestigious institutions offer courses on this platform. Free auditing of Coursera courses and payment of the above-mentioned sum is required for the issuance of certificates. Coursera offers a micro-credential called a “specialization,” which consists of a series of courses. A capstone project is required as part of these specialties, which focus on in-demand business and technological skills.
Most people use Coursera to study data science. More than 75 million people have signed up for the service. To date, Andrew NG’s machine learning course has been taken by over 5 million people worldwide. There are a plethora of options in the field of data science. Reading about them on the platform is going to take a long time. All of them are excellent. The most critical consideration is which of these programs is best for your individual needs. The following is the platform’s recommendation that I’d like to share with you.
Popular Courses
• Data Science for Business Innovation
• Process Mining: Data science in Action
• Applied AI with Deep Learning
• Using Databases with Python
• Data Science Fundamentals with Python and SQL Specialization
• Managing Big Data with MySQL
• Data Science Math Skills
• Data Science Methodology
Udemy
For those looking to improve their job-related abilities, Udemy is one of the most prominent online learning platforms in the world. There are over 100,000 online video courses, with over 1,000 data science and machine learning courses, making it the world’s largest collection. If you’re looking for a course, Udemy is giving discounts of up to 70% on most of its offerings. More than 50 million people across the world use this well-known online platform to learn new skills and find hidden talents. There are hundreds of thousands of courses available on a wide range of topics, including programming, business, web development, marketing, and more.
Visit Udemy and look for courses on data science there are Around 10k courses on data science in various languages and at different levels that will be available for you to learn how to use Tableau or Python for data science. I recommend Udemy to everyone who wants to learn more about data science and programming, as well as those who want to get a deeper understanding of this field online. In addition to learning from industry professionals, you’ll also be able to do so at a very reasonable cost.
Popular Courses
• Introduction to Data Science using Python
• Deep Learning A-Z: Hands-On Artificial Neural Networks
• Introduction to R programming
• Machine Learning A-Z: Hands-On Python & R in Data Science
• R Basics – R Programming Language Introduction
• Statistics for Data Science and Business Analysis
• Python for Data Science and Machine Learning Bootcamp
Pluralsight
Pluralsight is an online e-learning platform developed back in 2004 targeting individuals who want to study information technology (IT) or any skills or improve their knowledge by thousands of courses out there published by hundreds of instructors over many years. Data science and how to become a great data scientist through several courses such as Data Science: Executive Briefing to study the value of data science is one of the most widely available. Doing Data Science with Python is a six-hour course that teaches you how to be a data scientist with Python skills on actual projects and numerous Python libraries, including NumPy and matplotlib.
Popular Courses
• Data Science: Executive Briefing
• R Basics – R Programming Language Introduction
• Statistics and Data Mining for Data Science
• Doing Data Science with Python
• Mastering Data Science and Machine Learning Fundamentals
Codecademy
Codecademy is a place where you have data science practice websites for programming skills in a fun and engaging way. It is strongly encouraged to start studying via interactive platforms. Many people trying to study data science quit in the first few days. Difficulty in installing and utilizing the tools and a lack of a clear aim and strategy are the two most common reasons for giving up. These difficulties are sorted when you employ interactive platforms. Easy to start, no installation required, easy to track progress, and easy to access from anywhere, anytime, and from any device are just a few of the benefits of using an interactive platform.
There are various free courses to study at Codecademy. It is worth sign-up for a pro-plan. Spending money, in my opinion, has a positive influence on responsibility. Also, the pro-plans provide you access to its formidable community. Codecademy is not simply for data science. It’s a tool that helps developers in a wide variety of roles. More than 45 million people utilize it and hundreds of courses are available.
Popular Courses
• Master a Skill – Visualize Data with Python
• Learn Python 3
• Master a Skill – Analyze Data with Python
• Python Tutorial
• Python Programming with Data Science
Kaggle
In the world of data science and machine learning, Kaggle is one of the most well-known sites on the web. Data scientists of all levels can benefit from Kaggle, which offers both tools and a community for anyone interested in learning the field in 2022.
Whether you are a newbie, eager to learn new skills and contribute to projects, an established data scientist searching for contests, or somewhere in between, Kaggle is one of the finest places to start with. The major strength of Kaggle is the community as you can ask questions, clear your concerns and get help when you are stuck, so Kaggle is undoubtedly an excellent Data science learning platform.
Popular Courses
Python
• Data Visualization
• Intro to Machine Learning
• Intermediate Machine Learning
• Machine Learning Explainability
• Deep Learning
Datacamp
DataCamp provides interactive data science and machine learning courses in several disciplines. This is another interactive site that focuses on data science-related courses. You can get a head start if you utilize one of these interactive tools. One nice element about Codecademy is its skill tracks. It’s useful for keeping track of the knowledge and abilities needed to pursue a profession in data. These interactive platforms are great for beginners. For someone with prior knowledge in programming, these can be overkill. This is a resource for those interested in pursuing a career in data science. It offers courses for people at all skill levels. The courses are handpicked by industry professionals and contain video tutorials, as well as coding challenges and projects.
Popular Courses
• Introduction to R
• Introduction to Python for Data Science
• Introduction to SQL
• Data Manipulation with Pandas
• Intermediate Python
EdX [Harvard]
edX is a major open online course provider and includes free as well as paid university-level data science courses along with other specialties. Another intriguing platform similar to Coursera is edx where only colleges and top corporations may produce courses and professional credentials then put them on this professional website and share the information with anybody around the globe.
Harvard University’s Data Science professional certificate class is a great way of learning about data science on this Data science learning platforms, and it’s similar to Coursera specializations in that it’s one big course divided into several smaller ones, with a certificate awarded to students who successfully complete all of the courses.
Popular Courses
• Data Science: Linear Regression
• Complete Data Science Training with Python for Data Analysis
• Big Data and Education
• Big Data Fundamentals
• Deep Learning with Python and PyTorch
• Deep Learning with Tensorflow
Udacity
Udacity is a well-known for-profit educational institution that specializes in professional development courses. There are both premium and free versions of this excellent learning tool available online. The courses are designed in conjunction with prominent universities internationally. In this program, all students are mentored through the process of establishing their very own data science portfolios using practical real-world student projects. Not only are these projects helpful for putting theory into practice, but another huge benefit of having a proven portfolio of projects is that you can exhibit them to job recruiters. Nowadays, a successful portfolio is as, if not more effective, than a degree.
As for the skills you’ll be studying here, the program intends to teach you how to acquire, manipulate, analyze, and display data using Python and its packages, such as NumPy, Pandas, and SciPy. This 4-month Data Science course covers a wide range of data-related subjects, including data wrangling, analysis, and visualization.
Popular Courses
• Intro to Data Analysis
• Intro to Data Science
• Programming for Data Science with Python
• Machine Learning
• Programming for Data Science with R
• Artificial Intelligence for Robotics
• Artificial Intelligence for Trading
Khan Academy
Khan Academy is the greatest site to master the math idea for data science. When you first start learning data science, it’s okay if you don’t comprehend some mathematical concepts. But, to become a competent data scientist you need to grasp mathematical ideas. Math is yet another major deterrent to a career in data science. Trust me, you only need a basic understanding of algebra and trigonometry.
You should have come across folks suggesting math is really crucial for data science. Some data scientists, on the other hand, struggle to grasp the concepts. To demonstrate the value of being familiar with basic mathematical principles, consider the following example. Mathematical principles are used at many stages of a data science project, which is demonstrated below.
Popular Courses
• Statistics and probability
• Data Science Math Skills
• Linear algebra
• Calculus
• Operation research and optimization
Freecodecamp
freeCodeCamp is a non-profit organization that comprises of an interactive learning web platform, online publications, an online community forum, chat rooms, and local groups that want to make learning web programming accessible to anybody. A number of free developer certifications are available through freeCodeCamp. There are hundreds of extra code tasks to help you prepare for the five mandatory web app projects for each of these certifications. For a beginning programmer, it will take about 300 hours to get each certification.
Popular Courses
• Basic HTML and HTML5
• Responsive Web Design Principles
• Basic CSS
• Applied Accessibility
• Applied Visual Design
FAQ
Programming Languages Needed for Data Scientist?
Programming Languages are a must if you want to become a data scientist. Python is the optimal language to learn if you wish to pursue a career in data science.
Which data science course is best?
Udemy is one of the most prominent online learning platforms in the world, specifically designed to help users improve their job-related abilities. It offers the world’s biggest range of courses, with over 100,000 online video courses and over 1000 Data Science courses in data science and machine learning.
Is data science difficult?
Data Science occupations might be more challenging to learn than other fields in technology because of the highly technical needs. It takes a long time to master so many different programming languages and software programs. Of course, this is one of the explanations behind the present global dearth of data science professionals, as well as the great demand for them.