In the world of data mining and analyzing data for business growth, data science is a hot topic of discussion among professionals and organizations. Data can be an asset to an organization if it's processed efficiently and effectively. For the most part, Data Science involves analyzing data in the context of its origin, meaning, and its ability to be transformed into valuable information for business strategies. It involves combining domain expertise, programming skills, mathematical/ statistical knowledge, along with scientific techniques, algorithms, and procedures, to find insights from massive amounts of data. It applies to all spheres of industry, be it healthcare, retail, finance, or education. Organisations use data science to increase sales, optimise supply chain networks, streamline manufacturing, and much more. Globally, there is a huge demand for data scientists who can derive actionable insights from big data to empower organisations.
So, are you ready to be a part of this dynamic field? This year, jumpstart your career to new heights by becoming a data scientist. All you need to do is choose the right course and kickstart your journey as a data scientist, who can then empower big tech companies in making decisions that matter. But there are so many options; how do you make that choice? To help you, this is a handy guide to help you choose the best data science course & programs in 2022 as per your requirements and expertise.
As we developed a list of the best data science courses for 2022, we evaluated a number of factors including:
Below is a list of top data science courses ranked from 1 to 8 according to their curriculum, real-world exposure, hands-on projects, value for money, and student support.
Course Syllabus: This is one of the best online data science courses out there, that is designed to cater to all students belonging to different expertise: beginners, intermediates, and advanced. This has been made possible as they have different tracks and different course duration for different expertise. This comprehensive course covers all aspects of data science, from the basics of programming to intermediate programming topics (OOPs, array techniques, recursion, etc.) to ML Engineering and Advanced Programming topics (Deep learning, DB and System design, Predictive modeling etc.). Students get real-industry experience by working on projects with top companies. With this course, you'll learn how to solve some of the most challenging problems in Data Science and Machine Learning.
Course Highlights:
Course duration: 11–13 months.
Course fees: Rs. 2.5 lakh including GST, 100% refund if you decide to withdraw within two weeks (EMI options available)
Course Syllabus: It covers the gamut of Data Science, from the basics of Data Science to Deep Learning, IoT (Internet of Things), and more. Students get to work with software like Python, Tableau, Arena, and so on. Along with lectures, students get exposure to case studies and corporate examples.
Course Highlights:
Course duration: 1 year
Course fees: Rs. 4 lakhs, excluding GST and Rs 4,800 as campus fees
Course Syllabus: From technological skills to statistical modelling and analytical skills, students learn everything about Data Science. Extensive lab work with R, Python, and other data science tools that prepare students to apply their skills in the business world.
Course Highlights:
Course duration: 9 months dual learning
Course fees: Rs. 6 lakhs
Course Syllabus: Theory and application are seamlessly woven together in this course. Students learn how to analyze, visualize, and manipulate complex data sets using various Python tools. Furthermore, how statistical and probabilistic approaches can help you analyze data, and how machine learning influences modeling and decision-making are covered in the course.
Course Highlights:
Course duration: 10 months (9-11 hours per week)
Course fees: Rs. 94,196 (for full program access)
Course Syllabus: Get a strong foundation in Data Science, and learn about processes, algorithms, and methods to extract insights from data. Students learn data analysis, Web and API, ML and Algorithms, R Basics and Logic, and more. You must complete two projects to display your skills and learning.
Course Highlights:
Course duration: 24 pre-recorded classes, with 4 years access
Course fees: Rs. 15,000
Course Syllabus: From programming with Python to Natural Language Processing, this program covers it all. Students learn to use Python to analyse data and create visualisations, as well as use ML algorithms.
Course Highlights:
Course duration: 25 hours (approx.), with lifetime access
Course fees: Rs. 700
Course Syllabus: Master skills such as big data techniques, data manipulation, artificial intelligence, machine learning, and data analysis. This program has an array of industry discussions, case studies, industry projects, and assignments to prepare students for their future jobs. Students get a choice of electives and will work on a capstone project or complete a 3-month company internship.
Course Highlights:
Course duration: 11 months
Course fees: Rs. 4.95 lakh + GST
Course Syllabus: Develop Machine Learning skills using Javascript and TensorflowJS with hands-on projects. A very comprehensive way to understand how to use machine learning, and build the algorithms from scratch. By the end of this course, you will be prepared to enter any sub-discipline within the realm of Machine Learning. Also covered are performance-enhancing techniques and strategies for Javascript code.
Course Highlights:
Course duration: 17.5 hours (approx.), with lifetime access
Course fees: Rs. 700
We live in a data-driven world, and organisations are waking up to the power of data. Tech giants like Amazon, Twitter, Netflix for example have used data science to increase their revenues and profits by working on recommendation systems, textual analysis, predictive modelling, etc. And hence, it has become an exciting, evolving, rewarding, and in-demand field.
Courses provided by Scaler and IIM Calcutta cover all the important data science & ML topics in-depth along with providing good hands-on projects to work on, making them solid choices for those aspiring to become expert data scientists. Additionally, these Data science programs offer excellent career and placement support. In contrast, some of the short-duration programs like Udemy, Coding Elements, etc., may not satisfy all students' needs, but they do provide a good understanding of certain topics in detail, which can help those who wish to cover only specific topics quickly.
Ultimately, it is your call. Invest in the right data science program as per your requirements and current expertise to make your future bright and better.
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