Unleash the power of data science to propel your career with these online learning tools | Tech News

Unleash the power of data science to propel your career with these online learning tools

Discover the top online platforms suitable for both beginners and experienced individuals to learn data science.

By: HT TECH
| Updated on: Jun 16 2023, 17:34 IST
These are the 5 BEST cyber security online courses to earn a high salary from; Check now
Data Science
1/6 IBM Cybersecurity Analyst Professional Certificate - It is available on Coursera. The course is perfect for those who want to develop knowledge of cybersecurity analyst tools and gain skills for incident responses and forensics with real-world cybersecurity case studies. (Pexels)
image caption
2/6 The Complete Cyber Security Course: Hackers Exposed - This course is available on Udemy. It will familiarize you with the threat landscape such as Darknets, dark markets, zero-day vulnerabilities, exploit kits, malware, phishing, etc. It will also provide you with an advanced practical skillset in defeating online threats. (Pexels)
image caption
3/6 Complete Cybersecurity Bootcamp - This course is available on ZTM (zerotomastery) and it gives a comprehensive understanding of the cyber security landscape, career opportunities, developing the right skillsets, and more. (Pexels)
image caption
4/6 Web Security and Bug Bounty: Learn Penetration Testing in 2023 - If you want to launch a side career in bug bounty hunting and earn attractive rewards, then this course is for you. It covers penetrative testing from scratch, helps you set up your own hacking lab, and teaches you the skills to discover, exploit, and mitigate all types of web vulnerabilities.  (Unsplash)
image caption
5/6 Cybersecurity Specialization - Available on Coursera, it is offered by the University of Maryland. It covers the fundamentals of creating a secure system including hardware and software security, computer-human interaction, cryptography, and more.  (Pexels)
image caption
6/6 The Complete Cyber Security Course: Network Security - This course, available on Udemy, is the successor to the Hackers Exposed course. It focuses on developing advanced practical skill-set in assuring network security against different kinds of threats. (Pexels)
Data Science
icon View all Images
The fields of data science and machine learning are experiencing tremendous growth within the IT industry. (Pexels)

In the rapidly evolving digital landscape, where more than half of the world's economies are expected to become digital by 2023, businesses are gearing up for this shift by investing heavily in essential technologies through robust API-based digital platforms and communities. Consequently, the fields of data science and machine learning are experiencing tremendous growth within the IT industry.

If you're looking to get started quickly, enrolling in an online data science course from one of the top institutions is the way to go. However, finding the right technology or course can be a time-consuming task for many professionals. To assist you in your search, we have curated a list of the best online platforms for learning data science. Whether you're a novice or an experienced professional, these platforms offer suitable courses in data science and machine learning for all skill levels. We wish you the best of luck in selecting the ideal course and successfully completing it. So, without further ado, here are the top online platforms:

1. Udemy

Renowned as one of the world's leading online learning platforms, Udemy focuses on helping users enhance their job-related skills. With a vast selection of over 100,000 online video courses and more than 1000 courses dedicated to data science and machine learning, Udemy offers a wide range of options. Choose the course that aligns best with your needs from Udemy's extensive collection, often available at discounted rates of over 70%.

2. DataCamp

DataCamp provides interactive data science and machine learning courses across various specializations. Whether you're a beginner or at an intermediate level, this specialized resource caters to anyone interested in data science. Developed by industry professionals, the courses feature video lessons, coding exercises, and practical projects to enhance your skills.

3. Coursera

Coursera is a well-known online learning platform offering Massive Open Online Courses (MOOCs), specializations, and degrees in various fields, including data science, machine learning, and artificial intelligence. This platform includes courses from prestigious colleges such as Harvard University, University of Toronto, Johns Hopkins University, University of Michigan, and MITx, among others. Auditing Coursera courses is free, while certifications can be obtained for a specified fee. Most of Coursera's courses are part of specialized programs, which are micro-credentials that Coursera provides. Additionally, these specializations include capstone projects tailored to in-demand business and technical skills.

4. Udacity

Udacity, a popular for-profit educational institution, specializes in professional career enhancement programs. It offers one of the best resources for learning data science, available both for a fee and for free. These programs are developed in collaboration with top universities worldwide.

5. edX

edX, a collaboration between the Massachusetts Institute of Technology and Harvard University, is a prominent provider of Massive Open Online Courses. Alongside other specializations, edX offers university-level data science courses in Python, R programming, Machine Learning & Artificial Intelligence, Big Data, and Deep Learning.

These platforms present unparalleled opportunities to gain expertise in data science and machine learning. Explore their offerings and embark on your learning journey today!

Catch all the Latest Tech News, Mobile News, Laptop News, Gaming news, Wearables News , How To News, also keep up with us on Whatsapp channel,Twitter, Facebook, Google News, and Instagram. For our latest videos, subscribe to our YouTube channel.

First Published Date: 16 Jun, 17:14 IST
NEXT ARTICLE BEGINS