7 data science certificates to improve your salary continuity

7 data science certificates to improve your salary continuity

7 data science certificates to improve your salary continuity

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IBM, Google, SAS, and Oracle offer online courses and tests to measure data science and technology skills through modeling and analysis software.

At the end of August, Glassdoor had more than 53,000 machine learning (ML) jobs and 20,000 jobs including data science with salaries ranging from $ 50,000 to $ 180,000 more. More and more companies are doing data analysis and machine learning between product development and future revenue opportunities.

Major tech companies and private technology organizations offer programs to train young people in data science and professionals who want to discover new technologies. Each program in this list of the best online data science courses will expand your expertise and incorporate an important line of reason in the form of a scientific data certificate in your continuity.

IBM Data Science Professional Certificate

IBM offers this program to Coursera, which is taught by company employees. Students in this course will take a series of hands-on labs in the IBM cloud that provides experience with Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio.

 This online program takes about 10 hours to complete and has nine courses:

  • What is data science
  • Data science tools
  • Data science method
  • Python for data science and AI
  • Data and SQL data science
  • Data analysis with Python
  • Viewing data via Python
  • Machine learning with Python
  • Capstone capstone of used data
  • Professional Machine Learning Engineer from Google

If you can pass this beta test, you are verified by Google Cloud. Google recommends that test providers have at least three years of hands-on experience with Google Cloud products and solutions.

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The test takes four hours and costs $ 120. Six parts of the test cover:

  • ML frame problem
  • Composition of ML solution
  • Data processing and operation
  • ML model development
  • ML pipe automation and orchestration
  • Monitor ML solution, usability, and storage
  • Certified Analytics Professional Certificate

This is a neutral vendor program designed for mathematicians early to mid-career. Applicants require a bachelor's degree and five years of professional experience or a master's degree with three years' work experience. All test registrants sign a code of conduct and must submit a reference from the employer to confirm the soft skills.

The test is based on Job Task Analysis and covers seven areas:

  • Fixing a business problem
  • Mathematical problem framework
  • Data
  • Method selection
  • Construction model
  • Posting
  • Life management

There are 100 questions selected for the test. The basic price of a CAP certificate is $ 695 or $ 495 for members of the Center for Performance Research and Management Sciences (INFORMS). INFORMS provides the exam preparation phase.

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The new version of the test will be released on January 1, 2021 and can be downloaded online.

SAS data scientist certificates

The SAS Academy of Data Data provides three standardized data scientists:

  • Data fix
  • Improved statistics
  • AI and machine learning

SAS offers a free 30-day trial so that people can look at the tools, hands-on opportunities, and case studies that are part of the training program. There are also free e-learning courses on statistics and the SAS system and management.

The data curation system is designed for people who want to measure their knowledge of SAS data management tools and applications as well as other data preparation tools for statistical analysis. The program includes four training courses and one verification test voucher, including:

Introduction to data curation

  • SAS data management tools and applications
  • SAS and Hadoop
  • SAS data management tools have been developed with applications

Before enrolling in this course, people should have experience with the basics of the SAS system, data fraud strategies, and SQL performance. SAS offers exam preparation classes in the Data Curation Professional system.

The advanced analytics technology program includes nine online courses, 12 months of training training, 100 hours of cloud software acquisition, and three test vouchers. Subjects include:


  • Statistics used use SAS Enterprise Miner
  • Neural network model
  • Predicting modeling using systematic editing
  • Data mining techniques
  • Open source models
  • Text messaging uses SAS Text Miner
  • Important moments for modeling the series
  • Experiments in data science
  • Ideas for improving data science

SAS recommends that students have at least six months of experience in the program and in applying maths in the business environment.

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The AI ​​technology and machine learning program includes five online courses, 70 hours of cloud software acquisition, and three test vouchers. SAS recommends that people who are interested in the program be familiar with the program, SAS Viya, regression models, and neural network models. The lessons are:


  • Machine learning with SAS Viya
  • SAS text analytics in SAS Viya
  • In-depth learning using SAS software
  • Predicting using Model Studio in SAS Viya
  • Ideas for improving data science and AI

Each program is $ 1,295 per year and requires passing several tests to obtain each certificate. SAS offers a mix of free and paid preparation classes.

SAS certificate tests can be taken home with OnVUE online tests.

Oracle Business Intelligence Certificate

This training will prepare people to use Oracle software to improve business performance and to make reports, models, and forecasts. Oracle offers business acumen training in four categories:

  • BI Enterprise Edition - learn how to create and manage dashboards
  • Essbase - learn to use online analytics processing forecasts and analytics
  • Publisher BI - learn how to create and submit reports and other documents
  • BI Applications - learn to install, configure, and customize Oracle BI programs and Oracle Business Intelligence Warehouse

Certificates are available in the first two training programs.

TensorFlow Developer Certificate Program

Engineers passing the test can join the TensorFlow Certificate Network. This manual covers writing methods, including a list of skills, competencies, and resources approved during the test.

To pass the test, test takers must understand:

  • Basic principles of ML and in-depth learning
  • Building ML models in TensorFlow 2.x

Creating image recognition, object detection, text recognition algorithms for deep neural networks, and convolutional neural networks

Using real-world imagery of various shapes and sizes to visualize a photographic journey through convolutions to understand how a computer "sees" information, loss of structure and accuracy

Exploring strategies to prevent overeating, including overgrowth and abandonment

Installing neural networks to solve natural language processing problems using TensorFlow

If these topics are new to you, check out DeepLearning.ai TensorFlow in Practice Specialization in Coursera or Intro to TensorFlow for Deep Learning course on Udacity.

Desktop Desktop Specialist

Data analysis is useless unless it encourages action. That often requires you to make a case based on this analysis and present it to colleagues in other departments. Visualizing data instead of relying solely on numbers can help you win over people who do not match data on a daily basis. A table can help you do that.

A Tableau Desktop expert certificate will show that you have a basic understanding of this data recognition tool. The company recommends that test takers have at least three months of experience with the speaker. The Tableau Desktop Specialist Exam Readiness program is a six-week program of interactive training, courses, and two certification testing efforts.

The test consists of 30 questions and should be completed in 60 minutes. Examiners must obtain a 70% pass rate. The test measures these skills:

  • Creates and maintains data connections
  • Managing data structures
  • Creating basic charts
  • Entering statistics on a worksheet
  • Build and modify the dashboard
  • Understanding the size and steps
  • Learning comprehensible and continuous fields


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