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Best data science internship certifications
The best certifications for a data science internship are Google Data Analytics Professional Certificate, Associate - Data Science Version 2.0, and Certificate in Data Analytics (CertDA).
Data science internship certifications demonstrate your competency as a data science internship to employers. However, not all data science internship certifications provide the same value.
Below is a list of the best data science internship certifications. Obtaining a data science internship certification will give you a leg up when you apply for jobs and increase your potential salary.
5 best certifications for data science interns
| Rank | Data science internship certification | Organization |
|---|---|---|
| 1 | Google Data Analytics Professional Certificate | |
| 2 | Associate - Data Science Version 2.0 | DELEMC |
| 3 | Certificate in Data Analytics (CertDA) | ACCA |
| 4 | AWS Certified Machine Learning – Specialty | AWS |
| 5 | Certified Professional in Python Programming 1 Certification (PCPP1) | Python Instit... |
5 best data science internship certifications
1. Google Data Analytics Professional Certificate
Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 337,400 U.S. job openings in data analytics with a $67,900 average entry-level salary. Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months. You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with Google and over 130 U.S. employers, including Walmart, Best Buy, Astreya. 82% of Google Career Certificate graduates report a positive career outcome like a new job, promotion, or raise within 6 months.
- More than two years of education or training after high school required? No
- More than two years of work experience required? No
- Oral or written exam required? No
- Renewal required? No
2. Associate - Data Science Version 2.0
This certification enables the learner to immediately participate in big data and other analytics projects. The certification validates the practical foundation skills required by a Data Scientist.
- More than two years of education or training after high school required? No
- More than two years of work experience required? No
- Oral or written exam required? Yes
- Renewal required?
3. Certificate in Data Analytics (CertDA)
The ACCA Certificate in Data Analytics (CertDA) is aimed at business professionals who wish to develop their understanding of data, and the skills and techniques available for data analytics. Using real practical business examples, learners are able to develop an understanding of how data analytics and data modelling can be used to garner business insights. Learners will learn about big data, the various sources of data, types of analytics, and become familiar with the range of tools and techniques required to extract, manipulate, interpret and present data. They’ll also learn about the need to be both sceptical and ethical when working in the data analytics field. Many of the data tools introduced in the certificate are widely and freely available, such as spreadsheet or database software. Learners will also be introduced to popular statistical and programming tools such as SQL, R and Python, as well as an introduction to artificial intelligence and machine learning.
- More than two years of education or training after high school required? No
- More than two years of work experience required? No
- Oral or written exam required? No
- Renewal required? No
4. AWS Certified Machine Learning – Specialty
The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.
- More than two years of education or training after high school required? No
- More than two years of work experience required? No
- Oral or written exam required? No
- Renewal required? Every 3 year(s)
5. Certified Professional in Python Programming 1 Certification (PCPP1)
Certified Professional in Python Programming 1 certification shows that the individual is proficient in the more advanced use of classes and features of object-oriented programming. The scope of certification also includes graphical user interface programming, networking and using RESTful APIs, as well as working with selected library modules allowing to interact with SQLite databases (the sqlite3 module), create and process XML files (the xml module), read, write and process csv files (the csv module), create and process log messages from Python programs (the logging module), and manage configuration files (the configparser module). Finally, the certification covers the best practices, standardization, and coding conventions used in the Python Language. Becoming PCPP1 certified ensures that the individual is fully acquainted with all the advanced means provided by Python 3 and related technologies to enable her/him to advance her/his career as a professional Python developer.
- More than two years of education or training after high school required? No
- More than two years of work experience required? No
- Oral or written exam required? No
- Renewal required? No
What is the best certification for a data science internship?
The best data science internship certification is Google Data Analytics Professional Certificate. The Google Data Analytics Professional Certificate is awarded by the Google.
Here's a bit more background on how to obtain this data science internship certification:
- To become a certified Google Data Analytics Professional Certificate, you don't need to pass the exam.
- Lucky you - certification doesn't require more than two years of work experience.
- No renewal for certification, if you earn it once it is valid all time.
The most common combination of data science internship certifications include: Google Data Analytics Professional Certificate, Associate - Data Science Version 2.0, and Certificate in Data Analytics (CertDA).
Online courses for data science internships to earn certifications
1. Data Analysis Immersive (Full-time)
Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries...
2. Data Analytics (Part Time)
Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs. This course is offered in person and live online, in a remote classroom setting...
3. Data Analyst
Use Python, SQL and Statistics to advance your programming skills and refine your ability to work with messy, complex datasets...
4. Marketing Analytics
Gain an in-depth understanding of Google Analytics and marketing analytics. Analyze data and build models with Excel, Data Studio, and create informative data visualizations with Tableau...
5. Data Science:Data Mining & Natural Language Processing in R
Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples...
6. The Data Science Course: Complete Data Science Bootcamp 2023
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning...
7. Digital Marketing (Part Time)
Build confidence and capability to apply modern marketing strategies on the job. Drive growth with multichannel campaigns powered by data and customer insight. This course is offered in person and live online, in a remote classroom setting...
8. Intro to Data Analytics
Discover if data is a career fit for you Regardless of your industry or role, fluency in the language of data analytics will allow you to contribute to data driven decision making. In this free, two-hour livestream, you’ll learn to understand, analyze, and interpret data so you too can join the data conversation. We’ll cover how to ask the right questions of your data and basic analytic functionality. Then you’ll apply your new found data analytic skills to a real-world dataset, allowing you...
9. Data Structures and Algorithms
Get hands-on practice with over 80 data structures and algorithm exercises and guidance from a dedicated mentor to help prepare you for interviews and on-the-job scenarios...
10. Data Visualization
You will start by building data visualizations and dashboards, considering your audiences to be as effective as possible. Then, you’ll move into drafting presentations using storytelling techniques, visualizations, and animations to provide data-driven recommendations...
11. R Programming: Advanced Analytics In R For Data Science
Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2...
12. Complete Data Science Training with Python for Data Analysis
Beginners python data analytics : Data science introduction : Learn data science : Python data analysis methods tutorial...
13. Digital Marketing
Gain real-world experience running live campaigns as you learn from top experts in the field. Launch your career with a 360-degree understanding of digital marketing...
14. Intro to Data Analysis
Start your data science journey right with this hands-on introduction to the discipline of data analysis. In this course you'll learn the 5 key stages of the data analysis process and apply them to real data sets using Python libraries NumPy, pandas, and Matplotlib...
15. Complete Data Wrangling & Data Visualisation With Python
Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python...
16. From 0 to 1: Spark for Data Science with Python
Get your data to fly using Spark for analytics, machine learning and data science...
17. Data Visualization
Discover how data visualization can communicate insights far more effectively than text or tables. In this course, you’ll learn how to build data visualizations programmatically using Python, and how you can use visualization to both discover and convey trends in your data...
18. Experimental Design & Recommendations
Learn two of the most in-demand skills in the entire field of data science! By the end of this course, you’ll know how to generate personalized recommendations based on user data, as well as run statistically valid tests that produce clean, interpretable results...
19. Data Science with Python Complete Course
Data Science 2021 : Complete Data Science...
20. Data Science and Machine Learning Bootcamp with R
Learn how to use the R programming language for data science and machine learning and data visualization!...