Top Data Science Certifications To Take Your Career To The Next Level!

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Last Updated on: October 12, 2022

Data science helps companies process massive amounts of data to derive insights. This facilitates smarter and more informed decision making and strategic planning to reach business goals. With the explosion of data over the past couple of years, businesses have come to value data science even more. Tech advancements have made machine learning (ML), internet of things (IoT) and artificial intelligence (AI). This has driven tech adoption, which generates around 2.5 quintillion bytes of data every day. This, in turn, needs technologies like ML and AI for processing the data for more powerful insights. This cycle that feeds into each other has resulted in substantial market growth.

The size of the global data science platform industry was around $3.93 billion in 2019. This is expected to expand at a CAGR of 26.9% from 2020 to 2027. India is among the leading players in this market. In June 2021, India contributed 11.6% of the total job openings in the data science and analytics field.  To take advantage of such job opportunities, it is important to have the right data science certification. Such courses help you develop key skills and gain exposure to the practical aspect of data collection, cleaning and analysis to generate actionable insights. Upgrading your skills has become key for this landscape, which is advancing rapidly, backed by cutting-edge technologies and innovations. 

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Do I Really Need A Data Science Professional Certificate?

Having a data science certification alone won’t get you a job, but it will definitely help you build the practical experience and professional portfolio you need to apply for a data science role. The best data science certificate programs teach you technical skills through project-based learning and provide you with the opportunity to build an impressive portfolio focused on real-world data science scenarios.

Any excellent certification course focuses on teaching you the application of data science in a business context. Because just having solid technical expertise is not enough. You also need to demonstrate your ability to identify a business problem, frame it as a data science question, and provide solutions that can have real-world business impacts. Good data science certifications give you the hard and soft skills training you need to get job-ready. A data science professional certificate from a reputed ed-tech company also lends credibility to your profile, helping secure lucrative job offers in top firms.

How To Choose A Data Science Certificate Program?

Finding a program that provides certificates is super easy; there are many data science programs which offer certificates of completion. However, finding a good data science program that gives you hands-on experience apart from providing you with appropriate skills training could be tough. It can be even more difficult to compare all these programs and decide if the certificate is worth the investment of time and money. So, to help you solve this dilemma, here are some things to consider when searching for an institute that provides data science certification:

  • What is the program content?
  • How much does the program cost?
  • What is the time commitment?
  • What is the level of support offered by each certificate program?
  • Do they require you to have any prerequisites or qualifications?
  • What are the past students saying about the institute? How do the reviews and ratings look?

Based on these, you’ll be able to find a course that can help you build real-world skills faster.

Top Data Science Certifications

Data Science Architect Program: GeekLurn 

GeekLurn offers the best data science certification with 100% placement guarantee. Having partnerships with NASSCOM and IBM, GeekLurn has carved a niche in equipping students with theoretical knowledge and real-world practical training. 

The well-structured course modules are delivered by experienced instructors. You don’t need prior knowledge of coding to begin this program. It is the ideal choice for those looking to kickstart their career in data science and grab their dream jobs as data analysts, data architects, machine learning engineers, research analysts and analytics managers in blue-chip companies.

The key highlights of this 2-year program are: 

  • 6 months of live interactive classes
  • 50+ sponsored funded research projects 
  • 320+ hours of live training sessions
  • 1.5 years of real-time experience certificate from recognised research centres. 
  • 18 months of sponsored project work at Authorised Research Centres funded by IISC, ISB and IIM
  • Scholarships from day one up to ₹2 lakhs based on research project types
  • 100% money-back guarantee
  • Easy EMI options

This data science certificate program encapsulates both theory and practical sessions conducted on Zoom. With 24/7 LMS support, you get all the help you need to cover up lags in case you missed a class. . You can get certified by top companies like IBM, Oracle, Microsoft and Accenture.

IBM Data Science Professional Certificate: Coursera 

This course helps build data science basics, learn Python and SQL, create machine learning models, analyse and visualise data and get an idea of the latest job-ready tools. The course duration is 11 months and covers Big Data, Methodology, Jupyter notebooks, Pandas, Data Analysis, GitHub and Data mining. 

Data Science Course: Simplilearn

This is an IBM-sponsored certification for data science and includes masterclasses, webinars and Ask-Me-Anything sessions. You get hands-on experience with technologies like R, Python, Spark, Hadoop and Machine Learning. The course is not meant for those who are new to the field and targets IT professionals, analytics managers, business analysts, marketing managers, and supply chain network managers. You also need to have basic knowledge of statistics and an understanding of a programming language.

From Data to Insights with Google Cloud Specialisation: Coursera 

It is a beginner-level data science online course with a certificate. It takes around 5 months to complete the course to gain a basic understanding of cloud computing, SQL, data visualisation, BigQuery and Google’s cloud platform. The course is designed for data analysts, business intelligence professionals and cloud data engineers. You will get to practise writing and troubleshooting SQL on Google Analytics datasets. Candidates are required to have proficiency in ANSI SQL.

Professional Certificate in Data Science: edX

The duration of this data science certification course is one year and 5 months. You get to learn fundamental R programming, implement machine learning algorithms, understand statistical concepts and gain experience with tidyverse, including data visualisation with ggplot2 and data wrangling with dplyr. 

A data science certificate alone will not land you a job, unless you choose a course with 100% placement. Your career path will depend on how you approach the course, taking advantage of all opportunities to learn concepts and hone practical skills. Selecting a course that offers interactive sessions with industry experts can help you grow your network, which may come in handy throughout your career. Make sure to learn soft skills too, as you will need these as your career advances.


Which institute offers a data science course with a hundred percent placement guarantee?

An important requirement for quality placements is that the institute needs to offer courses that are crafted in line with the latest industry trends. This can give you an edge in the job market. The data Science course offered by GeekLurn has the ability to get you industry-ready. A member of NASSCOM as well as an IBM partner, GeekLurn’s robust corporate connect ensures that they are able to offer a 100% placement guarantee.

How can I become a data scientist?

To become a data scientist, you need to have strong analytical and mathematical skills. The ability to understand & work with complex data sets is imperative. You should also be able to use statistical software packages as well as be familiar with programming languages.

Can I switch to data science after a few years of experience in another field?

The beauty of data science is that it does not have an “ideal” background; you don’t need to have a particular experience background to become a great data scientist. As long as you are interested in working with data and envisage yourself in a role that involves data analysis that aids decision-making, you are good to go. You need to have a good command over statistics, mathematics, modeling, data visualization and the likes. You’ll also need to learn programming languages and need to have good communication skills.

Neel is a Product Manager with an interest in Data Science, Machine Learning, Cloud Computing, DevOps, and Blockchain with expertise in Python, R, Java, Power BI and Data analytics.

Neel Neeraj

Neel is a Product Manager with an interest in Data Science, Machine Learning, Cloud Computing, DevOps, and Blockchain with expertise in Python, R, Java, Power BI and Data analytics.
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