365 Data Science Review: Worth for Learning Data Skills?

365 Data Science Review: Worth for Learning Data Skills?

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The importance of data-driven decisions cannot be emphasized enough in today’s world where our everyday life is entwined with technology.

So, mastering data is crucial, but why should you choose 365 Data Science? Does it live up to the hype? Yes, it does. This platform is one of the best sites for gaining data skills.

So, what is unique about it? 365 Data Science’s greatest strength is its holistic approach to learning. It strikes the right balance between teaching theory and practice.

Moreover, the ever-evolving content makes it easy for you to stay in touch with the industry’s current trends and practices. Join me to see how much more this platform has to offer.

Quick Overview: 365 Data Science Review

CriteriaOur Rating
Course Quality4.8
Instructor4.8
Support4.6
Value for Money4.7
Ease of Use 4.8
Overall Rating4.7/5

Is 365 Data Science Legit?

365 Data Science was founded in 2017 by Nedko Krastev and Iliya Valchanov. You can learn more about the current team behind 365 Data Science here.

Over the years, it has received VC funds from multiple companies and have seen steady growth. Their quality data science learning content was the reason.

365 Data Science is a learning platform with 3 million+ students now.

The platform aims to provide quality education to accelerate people’s careers as data scientists, data analysts, and business analysts at an affordable price.

It helps you gain real-world practical experience and has your back with an inclusive and supportive community. So, don’t worry, it is a legitimate platform. 

Pros and Cons

Here are the benefits of using 365 Data Science and the areas requiring improvement at a glance:

What I like about 365 Data Science
Quality content.
Expert instructors.
Noteworthy projects for building your portfolio.
Regular updates.
Gamified learning experience.
Things I didn’t Like
Sometimes, the online code editor doesn’t accept the correct code.
Limited projects compared to similar online learning platforms.

Variety of Courses & Career Tracks

365 Data Science has a wide range of (80+) courses on data science and AI for people with varying skill levels and career goals.

You can choose to take the skill path and get a custom learning path or follow the career path and opt for one of the three career tracks the site provides.

Image showing Customized learning path option in 365 Data Science.

Each 365 Data Science career track has seven mandatory courses, one optional course, and two electives.

Data Scientist Career Track:

This career track helps you learn from scratch and eventually achieve the required expertise to be successful in the field. You start with math and statistics, move on to programming, and complete the track with advanced machine learning and deep learning. The hands-on practice exercises are fantastic for familiarizing yourself with the concepts learned.

Data Analyst Career Track:

You learn everything you need to know about statistics, Excel, SQL, Python, and data visualization practices in this career track. The track helps develop an analytical mindset.

Business Analyst Career Track:

This track contains courses on Data Literacy and Strategy. You learn how to use Excel and software like Tableau to present what insights you gained from the data. Clearly communicating what you found is of paramount importance in the business field. This track helps you do that.

career tracks in 365 data science

Free Resources

You can access few lesson previews, course notes, templates, infographics, career guides, flashcards, blogs, and practice exams for free.

They are designed to enhance your knowledge and skill in tandem with the paid courses.

What I love about these resources is that each one specifies what and who it is for.

However, some additional resources may be restricted to premium plan subscribers.

Content Quality

The content quality of this platform’s AI and data science courses is well-regarded.

The in-depth course content, regular updates, interactive learning, and veteran instructors who have worked for Google, Netflix, Meta, etc. ensure that the quality is consistently high.

The case studies and the wonderful projects add to the appeal of this already fantastic data skills learning platform.

Projects, Exams and More

The difficulty of 365 Data Science projects ranges from beginner to advanced. All 25 projects are fabulous. The following are the types of projects you can explore:

projects in 365 data science

Practice Projects

Practice projects are short but useful. They aren’t daunting and completing them builds your confidence. The handy set of guided instructions is there to help you if you stumble along the way. So, download the project files and tackle them with enthusiasm.

Course Projects

These projects relate to 365 Data Science’s course curriculum. You must complete the relevant courses to be able to complete these projects.

Frankly, course projects are much more interesting than practice projects, as the data you grapple with is related to football, music, baby care products, and whatnot.

Career And Skill Track Projects

These projects require knowledge of several topics related to the skill you want to develop or the track you want to master. They are much more complex than course and practice projects and take hours to complete.

However, they test your mettle; so, it’s worth spending the time and effort required.

The course and career track exams are also a fantastic idea. You can use the practice exams to prepare for them. Passing the exams gives you an edge over your competitors in the job market. We all want that, right?

Course Exams in 365 data science

Know what else could motivate you to complete the courses and pass the exams? The awesome collectible cards. You can earn them by doing the required tasks. The cards unlock several benefits (streak freezes, XPs, etc.).

Device Compatibility & User Interface

You can access 365 Data Science in Windows, MacOS, and Linux. Tablets, iOS, and smartphones also help you seamlessly access the course content, as the site has a responsive design.

However, the exams, projects, and programming practice exercises require desktops or laptops. 

The user interface is neatly organized and the navigation panel is smooth. The Dashboard could be more aesthetically pleasing, but it functions well.

The thing I like about this platform is that it allows you to set the deadline for completing the courses yourself or adhere to the automatic deadlines.

Finishing a course by the manually set deadlines doesn’t get you XPs, but completing them by the automatic deadline does. Which option do you like?

Is the Premium Subscription worth it?

The 365 Data Science pricing plans are straightforward.

The 365 Data Science Premium Monthly plan cost $36/month (billed monthly) and gives you full access to all the courses.

If you opt for Premium Annual plan, you can get 20% OFF so it would be $348/year (billed annually).

Both the plans offer identical benefits.

365 Data Science Premium Plan Pricing

The free plan grants only limited access. But you can use it to check whether the platform meets your requirements.

Personally, I think the subscription plans are worth paying for. It isn’t easy to find such high-quality, beginner-friendly content that helps you elevate your data skills to the advanced level at this price.

Besides, you have the price-lock guarantee. You don’t have to pay more or less than the amount you initially subscribed for during subsequent renewals.

Refund Criteria

365 Data Science offers a 30-day money-back guarantee you can use to get a refund.

The only rule is that you have to contact the team within 30 days of purchase. It provides no refund for automatic subscription renewals.

However, you can cancel the subscriptions and have unrestricted access to the content until the end of the subscription period.

365 Data Science Promo Code

Click Here and use any one of the following 365 Data Science coupon codes to subscribe to your preferred Premium plan at a discounted rate.

Plan TypeDiscount RatePromo Code
Premium Annual73%HSCOUT73AZLDP
Premium Annual57%YT20STL1KAS
Premium Annual60%YTTINA60A
Premium Monthly25%MRXG9BF

Learning Community

The community is responsive and supportive. The Channels in the social section allow you to discuss skill or career-related topics.

A snapshot from 365 Data Science discussion channels.

Instructors jump in and answer your queries if they feel the need is justified.

You can use the random channel to get to know your fellow learners. You can join, leave, and rejoin these channels at any time.

The site also has a Q&A section for all its courses. Alternatively, you can use the Hub accessible from the Q&A section and also the support section in the navigation panel. You can check out the popular questions to see whether you have the same query. Post any course or topic-related doubts you may have. The community will do its best to answer you.

A snapshot of 365 Data Science Q&A Hub.

Customer Support

365 Data Science has a excellent support system in place. It’s pretty easy to contact them if you bump into any problem.

If the help center articles doesn’t help you solve the issue you’re facing, you can always use the contact form or the email ID provided in their contact page to get personalized support from the 365 Data Science customer service team.

They are a responsive bunch. I’m happy with their response time and quality.

Certification Value

The 365 Data Science certification is valuable if you get the certificate of achievement. A certificate of completion has its uses but isn’t as valuable. You must pass the required course exams to attempt the final exam. Once you pass, the value of the 365 Data Science certificate speaks for itself. However, do not expect that alone to land you a job.

It’s great for proving you have the required skills and the determination and patience of an elephant. That’s all. Several other factors could cause you to get or lose the job you are after. So, let upskilling be your goal, and be ready for when an opportunity does come your way.

Job Market Value

Business Analysts are crucial for understating the inner operations of an organization. They are in high demand in the fields of finance, banking, and insurance.

Data Scientists are highly sought-after for their expertise in machine learning and big data analysis. The demand for them will only keep growing as technology keeps advancing.

Data Analysts are critical for understanding and interpreting data which gives rise to a set of actionable insights. Therefore, you will be successful no matter what career track you choose on 365 Data Science. 

Moreover, the career support this platform provides is awesome. The AI-powered interview simulator is very useful. You select the job you are gunning for, the interview type (HR or technical), the company you hope to join, fill in a few details about experience and skills, and voila! The interview is ready. You get instant feedback once you complete it.

InterviewAce, a mock interview simulator by 365 data science.

The career guidance and advice, feedback on your resume and portfolio, insights into the data industry, and tips for networking provided are excellent. 365 Data Science holds your hand throughout and beyond your learning journey, don’t you agree?

365 Data Science Reviews from Other Users

Other users have generally good things to say about 365 Data Science. They appreciate the comprehensive curriculum, real-world case studies, practical projects, high-quality content, and rigorous exams. 

However, some have raised concerns that some of the 365 Data Science exam answers may be erroneous. Others have also expressed that the focus on Excel is much more than on other skills and topics.

Alternatives

DataCamp

DataCamp is an excellent alternative with over 450 courses on data science and AI. However, the reason it has a major advantage in the 365 Data Science vs DataCamp debate is its spectacular projects simulating real-world scenarios and the magnificent coding exercises available for practice. The awesome community clinches the deal for me.

Dataquest

Dataquest is ideal for those who prefer learning by doing. The minimal text instructions and the intense focus on interactive coding exercises contrast nicely with 365 Data Science’s blend of theory and practice. Which platform do you think will win in the 365 Data Science vs Dataquest battle? I think the result depends on people’s learning styles.

Coursera

The platform that needs no introduction – Coursera. Using this site has a lot of benefits: high-quality content, professional and veteran instructors, marvelous projects, etc. But what truly helps it shine in the 365 Data Science vs Coursera discussion are the accredited certifications. We just can’t deny its value.

Final Verdict: Is 365 Data Science Worth It?

365 Data Science provides a well-rounded learning experience with interactive elements. With quality content, reputed instructors, skill-developing projects, and excellent career support, this platform is a great choice for anyone serious about succeeding in the data science field. So, yeah, it’s worth it.

FAQs

1. What is 365 Data Science?

365 Data Science is an online learning platform with a vision to equip students and professionals with the necessary tools to succeed in the field of data science. It perfectly blends theoretical and practical knowledge to stand out among its competitors.

2. Is 365 Data Science certificate useful?

365 Data Science’s industrially recognized certificates are useful for demonstrating that you have completed rigorous coursework. They boost your resume and help advance your career. Combined with a stunning portfolio your chances of getting a job considerably increase.

3. How long does it take to complete a 365 Data Science program?

It usually takes 1-6 hours to complete a 365 Data Science course program. However, the 365 Data Science Bootcamp course – Python Programmer Bootcamp – takes 20 hours to complete. Since it is a self-paced learning platform, you can learn at the pace you set.  

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