Overview
- Data science certifications are ubiquitous, Should i get a? If so, Which certification should i choose?
- Here, we list the different aspects of a data science certification that you should consider before choosing your career.
Introduction
Should you get a certification in data science? It's the most mind-boggling question every aspiring data scientist inevitably faces.
And this is followed by more questions: Will it add more weight to my resume or help me get a job? This, as I am sure many of the readers will know, ultimately leads to more stress and confusion.
Definitely, there are some benefits that come along with a data science certification. Reflects your interest and passion in the field of data science, but there is a warning: due to the rise of data science, there has been a massive adoption of these courses that makes them common or general.
Then, What can you do in this situation?
To stand out from the crowd, you will need to take a course that gives you exposure to industry and high-quality projects. A certification is taken as a standard to measure great talent.
Black belt + is one of those courses that will provide you with everything you need to become a highly valued professional in the data science industry. It's not just about certification, it's about quality and the guidance that goes with it.
In this article, we will break down the question into various components and help you get the answer to this all-consuming question.
Do I want to become a data scientist?
Certainly, data science has become a glamorous role over the years, and especially when HBR called the data scientist's role the sexiest job of the 21st century.. Today, the size of the data science market is $ 38 billion and is expected to reach $ 140 billion for 2025. Without a doubt, it is a high growth paper.
Most enthusiasts aim to become data scientists because of the glamor and high-paying band, but this is no longer the reality. Many people apply for the same job, but they don't have the right skill set for the job, creating a crunch of high expectations.
In the early years of my career, I wanted to solve data-driven problems, which is why I set out to become a data scientist. Didn't know that there are many other data-driven roles available in the industry!, as a business analyst, data engineer and many more!
For instance, if it comes from the software engineering industry, then data engineering may be the right role for you or if you want a job that has a large number of openings, entonces puede optar por la analyticsAnalytics refers to the process of collecting, Measure and analyze data to gain valuable insights that facilitate decision-making. In various fields, like business, Health and sport, Analytics Can Identify Patterns and Trends, Optimize processes and improve results. The use of advanced tools and statistical techniques is essential to transform data into applicable and strategic knowledge.... empresarial como una opción de carrera.
The big question we must ask ourselves: Why do I want to become a data scientist? If you want to know other data-driven roles, you can refer to this article:
What are the different paths to becoming a data scientist?
There is no limitation when it comes to learning, especially in the digital age, where you have a wide number of options open. You can browse through millions of freely available resources or even pay a hefty amount for a brilliant course.. It all depends on how you want to do it. Let's take a look at a few different resources and their pros and cons.
- Read blogs – Blogs are resources freely and widely available on the Internet. The biggest benefit of blogging is that there is a lot of variety and, of course, they are easy to understand. No need to go through chapters to get to a specific topic. The downside is that when you are a beginner, it becomes difficult to connect the dots with the general theme, what generates knowledge gaps. DataPeaker provides a variety of articles on various topics. Make sure to stop by the blog section. 🙂
- Learning through video tutorials – Can't you learn by reading? Tutorial videos are an excellent option for you. It is always better to see someone implement the concept, the code or project in front of you and then repeat it. Tutorial videos have the same disadvantage as mentioned in the previous point.
- free courses – Yes, Free courses are available for data science! As usual, these are short introductory courses that you can explore as a beginner. Many of them also provide certification. The advantage of these courses is that you get the comprehensive learning path for the intended concept. The downside is that these are not specialized programs and only consist of generic skills. You can access a variety of free courses on DataPeaker. (PD: Some of them even have free certification)
- Certification courses – ¡Duh! Certification courses offer a great way to learn data science. You get a complete curriculum and reach the goal in a structured approach. These are usually taught by industry experts with high-quality content. There is no specific disadvantage of the program, the only thing is that you should choose the certification course wisely. You can access all DataPeaker courses in the Programa BlackBelt +
Starting a career in data science without proper guidance and planning can be confusing. We have compiled a free and clear roadmap guide to building a career in data science that is curated by expert DataPeaker curators.:
A gist about data science certificate programs
Data science certifications come in a variety of forms. Some require an internet connection and others require physical presence. Let's take a look at the different formats.
- MOOC – Massive open online courses are probably the best known certification course in data science, including machine learning by Andrew Ng. These MOOCs can be done at your own pace and can be started at any time. Anyone can access these courses without any formal admission process. The only problem with these courses is that they can be very expensive if you want the certificate. The courses are usually taught by universities such as Harvard, Stanford and others.
- Classroom courses – These courses have the same format as a school or university. You will join a group of applicants and they will teach you through the pre-designed curriculum. Tasks will be assigned to you as homework and you can always raise your hand when in doubt. But you may find yourself in a difficult situation if you miss some classes because they will not be repeated just for you.. Due to Covid-19, these courses are available online as live classes.
- Online courses – As the name suggests, these courses are online. These are pre-recorded videos set up according to the syllabus. You can access the videos at any time in the order you want. But here you will not be able to clear your doubts in real time.
- Hybrid courses – Do you want the best of both worlds? Hybrid courses offer you part of a face-to-face course and part of an online course. You will get all the content at your own pace at the beginning of the course. There will also be a limited number of face-to-face classes in which you can clarify your doubts..
Honestly, Does it matter?
Good, Yes and no!
In simple words, certifications definitely matter, but not because of the certificate itself, but for the skills you have acquired as part of the certification.
Throughout the decade, many data science certification courses have emerged that have led to the generalization of these courses. Now anyone can get certified and claim to be a data scientist, but it doesn't work like that when you apply for a job.
Recruiters get tons of applications and don't have time to flip through the certifications and then verify their authenticity. However, focus on skill sets and completed projects.
In the end, it all comes down to the interview process. The interviewer will test everything you have mentioned on your skill set. Therefore, if you choose to go ahead with a data science certification, make sure you keep up with your classes and acquire the right skills. Your certificate won't get you the job, skills will.
How do I select a certification?
- Weather – The duration of the certification course varies from one month to more than one year. The question in the end is how much time can you dedicate. If you are a professional who works, then an online course or an online course from 3 months may be enough for basic machine learning. If you want to specialize, you may want to spend a longer period of time.
- Skills taught – ¿Python, R o SQL, Excel? When selecting the course, the first decision is probably to select the language and other skills you want to have and then adapt it to the course syllabus.
- Mentors – A data science course without a mentor is riding a bike in the dark. You really don't know where you're headed, así que asegúrate de tener una we can apply transformations once for the whole cluster and not for different partitions separatelyThe "Session" It is a key concept in the field of psychology and therapy. Refers to a scheduled meeting between a therapist and a client, where thoughts are explored, Emotions and behaviors. These sessions can vary in length and frequency, and its main purpose is to facilitate personal growth and problem-solving. The effectiveness of the sessions depends on the relationship between the therapist and the therapist.. individual con un mentor.
- Previous requirements – Make sure you meet the prerequisites mentioned in the course. For any prerequisites, you can follow the free DataPeaker courses.
- Cost – At the end of the day, we must match our expectations with our budget. DataPeaker offers many courses at the lowest prices. You can take a look at them.
If you are a beginner in data science, we have the right course for you: the blackbelt program +. It comes with more than 14 courses, more of 25 projects and a personalized mentor. The course does not boast of its certification, but the ability to transform you into an industry-ready data science professional. Your mentor will create a personalized and specific learning path for your career goals. you can learn data science holistically with Blackbelt +.
Final notes
To complete, making the decision to take a certification course is difficult. You risk your time and money and hope to build a new career. It is a strong bet if you choose the correct course and develop your skills.
Certification itself is worthless unless skills complement it. Always look for a course that adds value to your skills and not just the certificate.
I hope this article clarifies your doubts. Let me know in the comments about your thoughts on the certification courses..
