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10 “Best” Data Science Courses & Certifications (June 2023)

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Data science is becoming more crucial as we dive deeper into the world of AI and technology, which means the need for proficient data scientists is growing as well. It is one of the top careers right now due to our high reliance on data for virtually everything. Data science is a complex field, so a certification can help you stand out.

Here is a look at the top big data & data science certifications:

1. Cognilytica – Big Data Fundamentals & Best Practices

Cognilytica enables users to learn foundational best practices in AI, Automation and Big Data.

This specific course provides the fundamental knowledge and insight on Big Data that you need to know to be a successful Data Professional. Big Data Fundamentals & Best Practices provides a comprehensive overview of big data concepts, terminology, and systems combined with the effective best practices that successful data professionals are using to gain substantial benefit from one of the most important assets in an organization: its data.

This program is data focused, some of the topics that will be covered:

  • Big Data Terminology
  • Vs of Big Data – Variety, Velocity, Veracity, Volume
  • Unstructured, Structured & Semi-Structured Data
  • Examples & Case Studies
  • Data Consistency & Data Integrity

This program offers features the following and offers a completion certificate:

  • All Skill Levels
  • Trainees have up to six (6) months to complete the training
  • Access to recorded videos and training materials are provided for thirty (30) days following trainee conclusion of class
  • Duration: 12 hours
10% Discount Code: unite-cogcourse-10

Cognilytica enables users to learn foundational best practices in AI, Automation and Big Data.

This course is geared towards managers, you will expand your knowledge of key data terms and topics. You will learn high level topics including big data, data science, data engineering, machine learning and AI, data visualization, and other key aspects and data skills needed to understand and interpret data in a professional environment.

This program is data focused for an executive or management level, some of the topics that will be covered:

  • Challenges of Big Data
  • Analytics & Visualization skills for managers
  • Data Management Skills for Managers
  • Building Your Data Skills & Team

This program offers features the following and offers a completion certificate:

  • All Skill Levels
  • Trainees have up to six (6) months to complete the training
  • Access to recorded videos and training materials are provided for thirty (30) days following trainee conclusion of class
  • Duration: 9 hours
10% Discount Code: unite-cogcourse-10

3. Cognilytica – From Traditional Analytics to Modern Analytics: Best Practices

Cognilytica enables users to learn foundational best practices in AI, Automation and Big Data.

This course provides the understanding needed to adapt traditional approaches to analytics and business intelligence to modern analytics approaches, ranging from traditional database and data warehouse approaches to data lake and evolving data mesh methods. Moving from Traditional Analytics to Modern Analytics Best Practices provides a comprehensive overview of traditional and modern analytics concepts, terminology, and systems combined with the effective best practices that successful data professionals are using to create state-of-the-art analytic solutions.

This program is data focused on traditional and modern analytics concepts, terminology, and systems, some of the topics that will be covered:

  • The Evolution of Data Analytics
  • Modern Big Data Analytics
  • Emerging Data Mesh Architectures

This program offers features the following and offers a completion certificate:

  • All Skill Levels
  • Trainees have up to six (6) months to complete the training
  • Access to recorded videos and training materials are provided for thirty (30) days following trainee conclusion of class
  • Duration: 12 hours
10% Discount Code: unite-cogcourse-10

4. Cognilytica – Cognitive Project Management for AI (CPMAI) Certification

This is the most comprehensive course that is offered by Cognilytica and covers data science and machine learning.

The CPMAI methodology is the industry’s best practice methodology for successful AI & ML projects. Cognilytica’s CPMAI training and certification prepares you to succeed with your AI & ML efforts, whether you’re just beginning or are well down the road with implementation.

This program is data focused on all aspects of project management AI, and this includes data science, some of the topics that will be covered:

  • Fundamentals of AI and ML Terminology and concepts
  • The Seven Patterns of AI
  • AI Project Management Best Practices
  • Deep dive into actual AI projects using CPMAI
  • Supervised, unsupervised, and reinforcement learning methods, approaches, concepts, and algorithms
  • Most important aspects of Data Science relevant to AI
  • How business understanding, data understanding, data preparation, model development, model evaluation, and model operationalization fit together
  • Iterative and agile methods for AI
  • How to build Ethical and Responsible AI systems
  • How to craft an ideal AI team

This program offers features the following and offers a completion certificate:

  • All Skill Levels
  • Trainees have up to six (6) months to complete the training
  • Access to recorded videos and training materials are provided for thirty (30) days following trainee conclusion of class
  • Duration: 30 hours
10% Discount Code: unite-cogcourse-10

5. DataCamp Professional Certificates 

Unlike the other certifications that we recommend, DataCamp is the only program that focuses on life-long learning. Choose from over 340 interactive courses, and over 90 real-life projects. In fact over 350,000 students,  and over 1,600 companies have used DataCamp.

DataCamp uses a completely different methodology that most online courses.

1. Assess your skills and track progress
2. Learn by completing interactive online courses
3. Practice with quick daily challenges
4. Apply what you have learned to solve real-wold problems.

This program offers immersive learning and features the following:

  • Interactive exercises
  • Short videos
  • Live coding sessions
  • Certifications for different career tracks
  • All Skill levels
  • Data Analyst (with R or Python) career track takes approximately about 60 hours to complete.
  • Data Scientist (with R or Python) career track take approximately 90-100 hours to complete.

6. IBM Data Science Professional Certificate 

This Professional Certificate from IBM is aimed at those interested in a career in data science or machine learning, as it will help develop the necessary skills and experience. It is open to everyone, with no previous experience in computer science or language programming needed. There is a total of 9 online courses, covering things like open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms.

Here are some of the main aspects of this certification:

  • Hands-on practice in IBM Cloud
  • Real data science tools and real-world data sets
  • Digital badge from IBM
  • Beginner level
  • Duration: 10 months, 5 hours/week

7. Data Science Certification Course using R

This self-paced Professional Certificate helps you develop the skills needed to handle real-world data analysis challenges. This course encompasses a conceptual understanding of K-Means Clustering, Decision Trees, Random Forest, and Naive

Here are some of the main aspects of this certification:

  • Case studies: Unsupervised learning, recommender engines, deep learning, and much more.
  • R software environment
  • Live Online Classes
  • Expert instruction
  • Duration: 5 Weeks

8. Python Certification Training for Data Science

This top certification is aimed at those looking to build and deploy end-to-end solutions with machine learning and advanced analytics. It includes learning data science concepts from scratch, and it covers the fundamentals before moving on to more advanced topics. Some of the main topics include data analysis, deep insights, data prep, visual analytics, and machine learning.

Here is a look at some of the main aspects of this certification:

  • Different Applications where Python is used
  • Discuss Python Scripts on UNIX/Windows
  • Values, Types, Variables
  • Operands and Expressions
  • Expert instruction
  • Live Online Classes
  • Duration: 7 Weeks

9. Business Analytics Specialization 

This certification developed with Wharton School of the University of Pennsylvania is a foundational introduction to big data analytics. It is specifically targeted at business professions like marketing, human resources, operations, and finance. It is a beginner course that requires no prior experience in analytics.

Here are the main aspects of this certification:

  • 5-part course: Customer Analytics, People Analytics, Accounting Analytics, Operations Analytics, and Business Analytics Capstone
  • Strategic decisions based on data
  • Using real-world data sets for business strategy
  • Beginner level
  • Flexible schedule
  • Duration: 6 months, 3 hours/week 

10. Advanced Business Analytics Specialization

This certification offered by University of Colorado Boulder brings together academic professionals and experienced practitioners. It focuses on real world data analytics that can help grow businesses, increase profits, and create maximum value for shareholders. You will gain skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and interpreting and presenting analytic results.

Here are the main aspects of this certification:

  • Conceptual models of business and simple database models
  • Develop models for decision making
  • Basic Excel and software tool Analytic Solver Platform (ASP)
  • Intermediate level
  • Duration: 5 months, 3 hours/week

As everything in our world quickly becomes reliant on data, and as artificial intelligence becomes crucial in many sectors, data science skills are vital. It is also important to recognize that these skills are not only limited to those pursuing a data scientist career. They are just as important for other employees in an organization, as the changing work environment requires everyone to at least think like a data scientist. By completing one or more of these certifications, you will be valued as one of those individuals.

11. R Programming: Advanced Analytics In R For Data Science

This certification is offered by Udemy and is consistently one of the highest rating courses on this platform. Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2. This course is designed to prepare you for the real world and offers the following:

  • How to prepare data for analysis in R
  • How to perform the median imputation method in R
  • How to work with date-times in R
  • What Lists are and how to use them
  • What the Apply family of functions is
  • How to use apply(), lapply() and sapply() instead of loops
  • How to nest your own functions within apply-type functions
  • How to nest apply(), lapply() and sapply() functions within each other
  • Beginner or Intermediate level
  • Duration:  6 Hours
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Alex McFarland is a Brazil-based writer who covers the latest developments in artificial intelligence. He has worked with top AI companies and publications across the globe.