Demand for data science experts has been on the rise. IBM recently predicted a 28% increase in the number of employed data scientists in the upcoming years. In today’s data-driven world, every organisation has joined the data collection race to extract valuable insights.
These insights are fundamental for companies since it helps them to build relevant solutions, design targeted marketing strategies, and make data-oriented business decisions – no wonder why organisations across all industries are increasingly investing in data science technologies.
Apart from being a flourishing field, data science also welcomes students from different backgrounds – from computer science to economics and statistics to cognitive science. So, even if you’re not from a data science background, you don’t need to feel left out. With a few courses, certifications, and data science projects, you’ll be up to speed with all that’s needed for building a successful career in data science.
Lucky for you, there are various free online data science courses and tutorial that can help you not only set your foundations right but also get hands-on experience of working with new technologies.
Table of Contents
Why Pursue a Free Data Science Course?
As we mentioned earlier, employers worldwide now recognise the importance of hiring candidates skilled in dealing with large chunks of data for information extraction. Modern challenges require innovative solutions, and hence, it is crucial for professionals to acquire trending industry skills like data science and data analytics.
Today, with various automated tools and technologies to handle mundane and repetitive tasks like data cleaning, preparing, analysing, many elements of data science have become much more accessible. So, people can carry out data-driven operations (like predictive modelling) without needing to get their hands dirty with any coding or algorithms. However, this is a very mechanical approach to things.
If you have a clear understanding of the fundamentals behind these automated tools, you’ll be in a much better position to use these tools more productively. You’ll develop a different perspective towards these tools once you get a grasp of their inner workings. Also, you might be able to create more optimised techniques to solve complex business problems.
Because of this reason, we recommend you enrol in a data science free online course. By taking up an online course, you can learn from the safety and comfort of your home. While some online data science courses offer certificates of completion, some don’t. So, make sure to check the course webpage for the course details.
Top Data Science Free Online Courses
upStart – an upGrad initiative – is aimed at helping students and professionals learn about the latest technologies and advancements free of cost. These courses are designed to introduce beginners to practical, real-world problems.
1. Programming with Python – Introduction for Beginners
If you want to learn about the nuances of programming using Python, and how that helps you in your Data Science career – this course is precisely for you. Everything from data structures, programming paradigms, control structures, Object-Oriented Programming to building real-world solutions using Python is covered in this comprehensive course for beginners. It spans 17 hours and gives you a complete walkthrough of Python programming.
2. Learn Basic Python Programming
Learn about lists, tuples, strings, and other important programming constructs from the lens of Python programming language in this 15-hour long course aimed at beginners. Set yourself up for learning advanced programming concepts, techniques, and diving deeper into the world of Data Science by completing this course.
3. Learn Python Libraries: NumPy, Matplotlib, and Pandas
Beginner-friendly yet comprehensive – this course on Python libraries familiarises you with the different libraries you’ll need throughout your Data Science career. Numpy, Matplotlib, and Pandas are some of the most useful Python libraries for working with large chunks of data and deriving insights from it. This introductory course will help you take on fundamental data science challenges using Python libraries.
4. Introduction to Natural Language Processing
Natural Language Processing is all about understanding human linguistics and modelling it for computing machines to understand. It has implications all across different industries – from entertainment to healthcare to customer service. Go through this 11-hour course to understand the basics of Natural Language Processing and use regex to build spell correction, phonetic hashing, and spam detection tools.
5. Fundamentals of Deep Learning of Neural Networks
If you’re fascinated by deep learning and want to understand how the neuronal structure of our brain is replicated to make machines smarter – this course is for you. Go through this course to learn about neural networks, learning in neural networks, recurrent networks, feedback and feed-forward learning mechanisms, and some concepts of deep learning that involve higher applications of neural networks. Running for 28 hours, this course is your perfect entry point to the world of Neural Networks and Deep Learning.
6. Basics of Inferential Statistics
Statistics is an important component of the entire Data Science spectrum – and inferential statistics more so. After all, Data Science is more about understanding and making sense of data than just data collection. In this course, you will learn how to use the right tools and techniques for carrying out inferential statistics on datasets. Learn about probability and statistics, continuous-discrete probability distributions, sampling methods and their error quantification, and central limit theorem in this 15-hour course!
7. Data Science in E-commerce
E-commerce is a growing industry. This course will introduce you to all the data science and analytics that goes on in the back-end of any e-commerce business. Take this 13-hour course to get a deeper understanding of how data-driven decisions are made in the e-commerce business and get introduced to the important tools and techniques.
Data Science is no longer a buzzword – it’s the need of the hour for every organisation looking to improve their services by gathering valuable business insights. As a result, companies reward data science professionals with hefty annual packages.
So, if you’re fascinated by the world of data and want to add value by solving real-world data science problems, the courses mentioned above are great for breaking the ice. You can either pick one or multiple courses, depending on your bandwidth and capacity. The idea is to complete whatever course(s) you opt for while working on real-world projects. It enables you to gain a deeper understanding of the theoretical knowledge you’ve acquired.
If you are curious to learn more about data science, check out IIIT-B & upGrad’s Executive PG Program in Data Science which is created for working professionals and offers 10+ case studies & projects, practical hands-on workshops, mentorship with industry experts, 1-on-1 with industry mentors, 400+ hours of learning and job assistance with top firms.
Freshers, mid-level managers, and senior executives can also opt for upGrad’s Advanced Certificate Programme in Machine Learning which is a 7 months course designed to teach aspirants to be industry leaders. The ML course is offered in collaboration with IIT Delhi and requires students to take a 40-minute entrance test on programming and mathematics, on the basis of which their applications are shortlisted. Being a reputed educational institute in India, IITD aims at accelerating your career growth by providing access to world-class faculty and mentors who help students build ML capabilities and lead functional teams. There are 20 live sessions included in this advanced certificate program that cover 14 data science subjects.
Here’s an opportunity you don’t want to miss.
We hope this article introduced you to one, if not many, useful courses that you can take!
Yes, you can definitely learn data science on your own. The best way to start learning about data science is to take up an online course. Online courses and classes are the perfect way to learn everything from beginner to advanced level. Whether it is theoretical knowledge or practical application of the technology, you can get the right training with the help of an online course in the comfort of your home. Data Science has become a dream field for several people out there. People often find it confusing because they don't know where to begin their learning journey. If you also find it challenging to start with this learning journey, then let's make it easy for you. Every job has its ups and downs. There is a learning curve in every job, and it will take some time to get familiar with all the tools being used for that particular job in the company. It will sound a bit stressful when you are beginning with the learning phase, but you will be able to figure it out down the line. If you find the data science job really interesting, then you will never get stressed, even if you have a lot to learn and a lot to work upon.
Can I learn Data Science from home?
You just need to make sure that you are taking up the right course so that you get to learn all the necessary concepts for data science. With dedication and consistent application of the gained knowledge, you can definitely learn data science on your own.
How do I start Data Science from scratch?
By following the below step-by-step procedure, you will find it pretty easy to start your data science learning journey.
1. Get familiar with the basics of Python programming
2. Understand the fundamentals of Mathematics and Statistics.
3. Get clear with the concepts of Python with Data Analysis
4. Start learning Machine Learning
5. Practice different projects to apply the gained knowledge
Is Data Science a stressful job?
Yes, you can definitely learn data science on your own. The best way to start learning about data science is to take up an online course. Online courses and classes are the perfect way to learn everything from beginner to advanced level. Whether it is theoretical knowledge or practical application of the technology, you can get the right training with the help of an online course in the comfort of your home.
Data Science has become a dream field for several people out there. People often find it confusing because they don't know where to begin their learning journey. If you also find it challenging to start with this learning journey, then let's make it easy for you.
Every job has its ups and downs. There is a learning curve in every job, and it will take some time to get familiar with all the tools being used for that particular job in the company. It will sound a bit stressful when you are beginning with the learning phase, but you will be able to figure it out down the line. If you find the data science job really interesting, then you will never get stressed, even if you have a lot to learn and a lot to work upon.