Best Data Science Certifications in 2022

The need for data analysis has become fourfold in recent times. 91% of the organizations recognize the importance of data in making decisions, however only 57% are successfully using data to make decisions. As data speak their own language, humans tend to interpret them with limited understanding. To fully understand what data is trying to convey, the person must know Statistics, Programming, Data Manipulation, Analysis and Visualization. However, the skills go beyond and include Machine Learning, Deep Learning, Big Data, and Model Deployment. Driving insights out of the data, and the quality of insights is directly related to the skills of a data scientist, data engineer, and data analyst.

Data Science since Childhood

If you are interested in solving complex problems and comfortable in building skills with patience, data science is made solely for you. Interestingly, you are already familiar with data science and have been working with data and numbers since childhood. Now, all you need is to learn advanced data science. This can be easily done with globally recognized certification courses offered online.

Following are the Best Data Science Certifications in 2022

• SAS Certified Big Data Professional: The global leader in Analytics, SAS offers one of the best Data Science skills development opportunities through its certification course. As per 2020 survey done on Coursera by SAS, 84% of the participants said to have experienced improvement in the performance and growth in career.

This SAS Certified Big Data Professional Using SAS 9 is a global certification program that helps students to use SAS data management tools and open source. In this course, one will learn to

1. Implement SAS programming techniques
2. Improve data quality for analytics
3. Access, transform, and manipulate data
4. Apply statistical techniques
5. Work with Hive, SAS, and Hadoop
6. Visualize and explore data

This course requires a student to pass two exams that are administered by Pearson VUE and SAS.

• USDSI™ (www.usdsi.org): United States Data Science Institute offers an exceptional learning opportunity for data science enthusiasts. The world-renowned certification programs of USDSI™ are designed specifically for people with different existing knowledge bases. These are:
  • Certified Data Science Professional (CDSP^TM) – This course doesn’t require any work experience, hence a person who is pursuing bachelor’s degree can also pursue CDSP^TM. However, basic knowledge of programming is required to undertake this course. The program curriculum includes
    1. Data Science and its importance
    2. Mathematics and Statistics for Data Science
    3. Big Data and Hadoop
    4. Database and Data Science
    5. Performing Data Analysis
    6. Data Visualization and its libraries
    7. Tableau and PowerBI for Data Science
    8. Data and Machine Learning 

1. • Certified Lead Data Scientist (CLDS^TM) – This course requires a minimum of six years of work experience in programming if you have a diploma or associate degree in any discipline. However, if you have a Bachelor’s degree and a minimum of two years of work experience in programming then also you can choose this course. Also, if you are pursuing a Master’s degree and have no work experience, then this course is suitable for you. A person with four years of experience who has already completed a CDSP^TMor equivalent certification course can also choose this program. The program curriculum includes
     1. Data Science and Data Analysis
     2. Big Data and Data Science
     3. Data Analysis Lifecycle and Workflow
     4. Key Methods in Data Science
     5. Working with Data and Databases
     6. Advanced Big Data Analytics
     7. Machine Learning and PowerBI
     8. Data Analytics: Case Studies
     9. Containerization, RPA, IoT, and Cloud 

1. • Certified Senior Data Scientist (CSDS^TM) – This course requires a minimum of five years of work experience in Data Science, Business Intelligence, Programming, or Business Analytics. However, with a Master’s degree, four years of experience is required in Data Science, Business Intelligence, Programming, or Business Analytics to pursue this program. A person with four years of experience who has already completed a CLDS^TMor equivalent certification course can also choose this program. The program curriculum includes
     1. Data Science for Data Scientists
     2. Essential Operations on Data
     3. Essential Data Science for Data Scientist
     4. Data Visualization Using Tableau
     5. Data Science for Business
     6. Big Data and Data Lake
     7. Data Science Methods for Data Scientists
     8. Data Science in Marketing
     9. DevOps and Cloud Computing

These self-paced globally recognized certification programs offered by USDSI are the best data science certification program available online with more than 150+ hours of data science learning. If given 8-10 hours per week, any of the above certification can be mastered along with your current commitment.

• IBM Data Science Professional Certificate:

  IBM offers an unparalleled data science certifications course. Learning data science from the data science leaders is the USP of IBM Data Science Professional Certificate. The course advisor is Ronald Van Loon who is Top 10 Big Data and Data Science Influencer, Director – Advertisement. In this course, one will learn

• 1. Data Science with Python
  2. Machine Learning
  3. Deep Learning with Keras and TensorFlow
  4. Tableau Training

 The course also includes one Data Science Capstone project which aims to teach students the application of Data Science and how to solve real-world problems.

• HarvardX’s Data Science Professional Certificate:

  Available on the edX platform, this certification program helps you to learn data science using real-world case studies. This course can be completed in around 17 -18 months, if given 2-3 hours per week. In this certification course, one will learn

• 1. R programming
  2. Statistical concepts
  3. Gain experience with the tidyverse
  4. Become familiar with essential tools such as Unix/Linux, git and GitHub, and RStudio
  5. Implement machine learning algorithms 

• Microsoft Certified: Azure Data Scientist Associate:

  Available in two ways – Online (Free) and Instructor-led (Paid), this Microsoft course aims to make candidates a subject matter expert. There is one exam that needs to be cleared to get certified. The course includes:

  1. Creating machine learning models
  2. Microsoft Azure AI Fundamentals
  3. Building and Operating Machine Learning Solutions with Azure Machine Learning
  4.  Building and Operating Machine Learning Solutions with Azure Databricks 

Conclusion

To choose the course suitable for your needs, ensure to get a certification that is globally recognized and helps you gain exceptional data science skills. Also, ensure to choose a cost-effective program that matches your career and boosts it in the right direction.