best data science certifications

11 Best Data Science Certifications in 2022 (New)

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The growing demand for skilled data scientists in numerous fields is only natural as data science becomes increasingly crucial to humanity.

Here’s our complete 2022 guide containing 11 best data science certifications to improve your industry knowledge and validate your technical skills:

Best Data Science Certifications for 2022


1. IBM Data Science Certification (Coursera)

This data science certification course is aimed to help beginners gain an understanding of the fundamental concepts of data science, the roles, and responsibilities of a data scientist, and how to fluently use data science tools such as IBM cloud, RStudio IDE, and Jupyter Notebooks.

It also provides necessary data science skills that help in building, testing, and training data models.

Pros

  • It’s self-paced
  • It’s affordable
  • No prerequisites

Cons

  • Professionals might find the course lacking in depth
  • It’s a long course, takes 11 months to complete

Read More: Is IBM Data Science Certification Worth It?


2. Data Science Council of America (DASCA) Senior Data Scientist (SDS)

The Senior Data Scientist (SDS) certification program from DASCA is for experienced data scientists and data engineers with at least five years of analytics expertise.

It digs into Business Intelligence’s roles, how it influences corporate performance, and how you can use it to your advantage.

It’s usually advised for persons who are familiar with statistical analysis, spreadsheets, database management, SPSS, SAS, R programming, and a variety of quantitative methodologies.

This certification has no separate charge for the exams, the cost is covered in the course registration fee.

Pros

  • Online Studies

Cons

  • Lots of prerequisites

3. The Data Science Course: Complete Data Science Bootcamp (Udemy)

The courses essential to becoming a proficient data scientist are presented in the sequence in which they should be learned in this course.

Each session builds on the previous one, detailing the ins and outs of each topic and helping you to better comprehend data science vocabulary.

So you may start from the beginning and at the conclusion of the boot camp, you’ll be able to cope with real-world challenges and be ready to pursue more advanced specialties.

Pros

  • complete toolbox is provided
  • learn Python coding
  • Solve real-life business cases that will get you the job.
  • Question and answer support and community available.
  • Most courses are free

Cons

  • none

4. Data Scientist Nanodegree by Udacity

Udacity Data Science Nanodegree is worthwhile for people considering a career change to Data Science. 

Although Udacity Nanodegrees are neither recognised nor certified by educational institutions, they are recognised globally, and firms like Google, AT&T, Mercedes-Benz, and others have worked with the company.

Before enrolling or considering enrolling in this certification, you will need to be familiar with a few data science concepts and topics.

Udacity aims to provide learners with the most well-rounded training possible, ensuring that they are prepared for any problems that may arise in the real world through coaching, projects, and customized learning.

Length: 4 Months

Pros

  • Structured workflow

Cons

  • Prerequisites such as machine learning, maths, and statistics, python and SQL is needed
  • High Pricing (starting at $399 per month)

5. Professional Certificate in Data Science from Harvard University (edX)

This Harvard Data Science Certification program will teach you core data science fundamentals, such as R and machine learning, via real-world case studies to help you get started in the field.

This intensive curriculum, which spans nine courses, is one of the highest-rated online master’s programs offered on edX, a prominent e-learning platform.

R Basics, Data Visualization, Probability, Inference and Modeling, Productivity Tools, Data Wrangling, Linear Regression, Machine Learning, and a Capstone project are the courses that make up this curriculum.

Simultaneously, you’ll study the R programming language, statistical ideas, and data analysis techniques.

Pros

  • Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
  • Cover the fundamental R programming skills.

Cons

  • It claims that there are no prerequisites for taking this course, although it does require a basic understanding of mathematics.

6. Microsoft Certified: Azure Data Scientist Associate 

As more businesses migrate to the Microsoft Cloud, the need for Azure specialists is growing.

Microsoft Azure Certification gives you the authority of a professional.

Certification allows you to learn everything there is to know about cloud technology and receive hands-on experience with it.

The Microsoft Certified Azure Data Scientist Associate course is a certification that evaluates your ability to design and deploy Azure applications. It’s great for folks who wish to learn more about Azure or who are already using it. 

Although this is a beginner-level certification course, you will get a knowledge of the subject by studying the essential concepts; nonetheless, prior experience in the relevant field is necessary.

Because the course is largely focused on learning how to use the Azure machine learning service and is taught through hands-on experience, it is ideal for data scientists.

Pros

  • very advanced for a beginner-level certificate
  • learning by doing

Cons

  • none

7. Modern Big Data Analysis with SQL (Cloudera)

This Specialization offers the abilities needed to work with massive amounts of data using SQL.

This Specialization is for you if you have some experience using SQL to query smaller-scale data with relational databases.

This Cloudera course begins with an overview of big data and database systems, then moves on to learning how to use SQL to acquire and analyze data, and eventually to managing large data and loading it into a cluster, among other topics.

This Specialization is also beneficial for anyone studying for the Cloudera Certified Associate (CCA) Data Analyst exam.

You may obtain this certification title by passing a hands-on practical exam utilizing Hive and Impala SQL engines, which are covered in this Specialization.

Pros

  • Intense curriculum

Cons

  • none

8. Dataquest Certification

The main benefit of Dataquest is that it is not like a traditional course; it consists entirely of reading and doing.

No pre-recorded films of teachers discussing any of the topics are available.

Instead, all of those ideas are spelled out in a beautifully designed interactive textbook.

They provide guided tasks that assist you not only consolidate your knowledge but also create your portfolio and demonstrating your abilities.

Dataquest is certainly worth the money and time commitment at $49/month or $29/month for basic.

Pros

  • Very affordable
  • Comprehensive curriculum
  • Focused on applying concepts

Cons

  • You will find a few bugs when interacting with the platform
  • There are no videos

9. SAS Certified Data Scientist

The SAS Certified Data Scientist certification is a combination of many SAS-branded certificates.

The certificates cover a wide range of topics, including data science principles, data analysis, data manipulation, and more.

A SAS certification lends credibility to your resume.

It’s also a test of how well you know the tool and how well you can answer queries, edit and wrangle data, and perform analysis if you’re asked out of the blue!

It’s designed to be an interactive certification for those who utilize open-source tools and machine learning models to acquire insights from large data and then apply that information to make better decisions.

Pros

  • Globally recognized

Cons

  • Its cost-intensive
  • Has prerequisites

10. Tableau Data Scientist Certification

To manage their businesses, firms all across the world rely on clever data analysis and data visualisation, and no other technology compares to Tableau.

One of the most popular and frequently used data analytics and business intelligence applications is Tableau, which allows users to explore, analyze, and apply data to better decision-making. It allows for easy data conversion into visual tables, graphs, and more.

While your Tableau credentials may help you land a few amazing leads and job interviews, the most crucial thing is always your ability to deliver.

Regardless, it’s realistic to conclude that Tableau credentials are worthwhile since they can help.

It demonstrates to employers that you are familiar with Tableau Desktop’s features and capability for data analysis and issue solving.

The Exam fee for the Tableau Desktop Specialist is $100

Related: Is Tableau Certification Worth It?

Pros

  • Certification is relevant almost anywhere
  • No expiry data

Cons

  • none

11. Data Science for Everyone by DataCamp

DataCamp certifications are well worth the money. DataCamp credentials, like other certificates, can enable you to demonstrate that you can do machine learning and data analysis jobs.

DataCamp is a fantastic way to get started on your path to a career in data science.

You’ll be significantly ahead of the curve if you study through DataCamp’s Python, R, or SQL courses, which might help you obtain a job or receive a promotion at work.

Pros

  • Get interactive learning

Cons

  • none

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