As the demand for machine learning, artificial intelligence (AI), and data-backed choices grows, data science has become one of the fastest-growing sectors. Many people have chosen a data science career as a result of this, and the most efficient method to do so is to obtain a data science certification.
Fortune 500 companies are becoming more reliant on data, and they are keen to hire data specialists who can interpret the data they acquire. Data science certifications are a wonderful method to obtain an advantage because they allow you to confirm your talents, letting recruiters know exactly what they'll get if they hire you.
Every day, more people decide to enter the profession of data science because of its appeal and the promise of high earnings. Some people enter the sector with a technical background, while others do so out of curiosity; regardless of why you enter, your first priority will almost certainly be to build a strong, reliable portfolio that will help you land the position you want.
Although a degree or certificate isn't always required to enter the field of data science, having one can help you stand out from the crowd when applying for a job.
A good data science portfolio is made up of projects that demonstrate your skills, knowledge, and ability to build solid data science projects. That is the foundation of a good portfolio, but you can also include certificates to demonstrate that you have put in the time, effort, and money to hone your skills and become a more qualified data scientist.
Fortunately, not all certificates require you to visit a testing centre. In reality, you can get most of the desirable data science degrees from the comfort of your own home.
Top 8 Data Science Certifications
1) Azure Data Scientist Associate (Microsoft Certified)
Microsoft is a well-known technology and software company, and they provide a certificate that assesses your abilities to conduct experiments, train machine learning models, enhance their performance, and deploy them using the Azure Machine Learning workspace.
You must pass one exam to acquire this certificate, and you can study for it in one of two methods. Microsoft provides free online materials that you can use to study for the exam on your own time. If you'd rather have a tutor, they also provide a premium alternative where you can hire an Azure machine learning instructor.
This exam will set you back about $165. The cost varies depending on where you will proctor the test.
2) Professional Certificate in Data Science from IBM
This IBM certificate is awarded at the conclusion of a course series that takes you from a complete data science beginner to a professional data scientist online and at your own pace.
The IBM Data science professional certificate is available on Coursera and edX. To obtain the certificate and an IBM badge, you must complete a set of courses covering all of the core knowledge of data science on either platform.
You'll have to pay $39 every month to acquire the certificate from Coursera, so the sooner you finish the series, the less you'll have to pay. On the other hand, regardless of how long it takes you to complete the course, edX charges $793 for the overall experience.
3) Professional Data Engineer Certification from Google
The professional data engineer certification from Google is designed to assess the abilities required to work as a data engineer. A data engineer can make data-driven decisions, develop and test credible models, and optimise them.
You can apply for this certificate directly on the Google certificate page, or you can enrol in a course series and get the certificate through Coursera. The courses will teach you all you need to know about machine learning and artificial intelligence principles, as well as how to create effective data pipelines and analytics.
To access the Coursera course series, you must have Coursera Plus or pay a $49 monthly fee for as long as you need to finish the series and obtain your certificate.
4) Data Engineer, Cloudera Certified Professional (CCP)
Cloudera aims to attract open-source developers by offering the CCP Data Engineer certificate, which allows developers to demonstrate their ability to efficiently collect, process, and analyse data on the Cloudera CDH platform.
You will be given 5-10 data science questions to solve in order to pass this test, each with its own huge dataset and CDH cluster. Your job will be to come up with a high-precision solution for each of these issues and correctly implement it.
You must obtain a score of at least 70% on this exam in order to take it. The examination will last 4 hours and cost $400. This exam can be taken from any computer with an internet connection.
5) SAS AI & Machine Learning Certified Professional
Unlike the previous certificates, the SAS AI & Machine Learning Professional certificate is earned by passing three exams that assess three distinct skill sets. The three exams you must pass in order to obtain the certificate are as follows:
- Your ability to build, train, test performance, and optimise supervised machine learning models will be tested in this machine learning exam.
- Forecasting and optimization testing This test will assess your ability to handle, visualise, and build data pipelines, as well as solve optimization problems.
- A test of NLP and computer vision.
SAS provides free 30-day preparation materials to help you prepare for and pass each of these three examinations.
6) TensorFlow Developer Credentials
TensorFlow is a popular package for machine learning, Artificial Intelligence, and deep learning applications. A TensorFlow Developer Certificate is awarded to a developer who can demonstrate their ability to use TensorFlow to create solutions for machine learning and deep learning problems.
Complete the DeepLearning.Artificial Intelligence TensorFlow Developer Professional Certificate Coursera course series to prepare for this certificate. Your name and picture will be added to the Google Developers web page once you have earned this certificate.
7) HarvardX: Data Science Professional Certificate.
HarvardX is Harvard's online counterpart, focusing on providing online courses at the same level as on campus. Their Data Science Professional Certificate is intended to provide students with a comprehensive understanding of data science and data analysis.
Throughout the certification course, you will learn:
- Basic R programming abilities are required.
- Probability, predictive modelling, and inference are all ideas used in statistical analysis.
- Learn about Linux/Unix, RStudio, and GitHub, which are all vital tools for data scientists.
- Learn how to utilise tidyverse, ggplot2 for data visualisation, and data wrangling (with dplyr).
- Machine learning algorithms are being implemented.
Complete understanding of data science concepts through the use of real-world case studies.
The cost is $991, and the duration is 1 year and 5 months (Self-Paced)
8) DataCamp's Data Science
DataCamp has a solid reputation for offering some of the best certification courses and boot camps for a wide range of data-related industries and careers. Thousands of people have benefited from their online courses, which have helped them gain new skills, advance in their careers, and broaden their knowledge.
The Data Science for Everyone boot camp is a comprehensive data science programme that does not require any coding. To begin the course, you do not need any prior computer science background or technical skills.
The course is broken down into four distinct chapters.
- Introduction to Data Science
- Data Collection and Storage
- Preparation, Exploration, and Visualization
- Experimentation and Prediction
It takes about two hours to complete the entire course. You'll watch 15 videos and do 48 exercises to put what you've learned into practice.
Keep in mind that their pricing isn't the same as yours. The first chapter of the course is free, but you'll need to join up for one of their subscription plans to have access to the remainder.
Conclusion
It's not easy to become a data scientist; you'll need to be fluent in a variety of programming languages, including Python, SQL, Java, and others. You'll also need to be familiar with and understand software technologies like Hadoop and SAS.
If you ask any data scientist if they needed a degree or certification to get their job, the majority will tell you that they came into data science from a non-technical background with a desire to learn more.
Even though you can become a data scientist and get a good job by self-studying the core concepts of data science and creating real-life-sized projects or projects that can be easily applied to real-life data, having a certificate can sometimes help your portfolio stand out and attract recruiters' attention.
There are several data science certificates to choose from, but the best one for you will depend on your specific sector, educational background, specialisation, and experience level.
For data science certification, you must be prepared. It's not about viewing training videos, conducting lessons, or anything else like that. You must expand your data science knowledge, improve technical abilities such as programming, and put your knowledge into practice.
Once you've done that, you should consider getting a data science certification to prove your abilities. Which data science certification is best for you will depend on where you are in your data science career.
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