One of the trendiest IT careers is Data Scientist. If you want to break into this profitable industry or set yourself apart from the competitors, Data Science International Certifications can help. These certifications are one of the wonderful methods to get forward since they allow you to acquire abilities that are hard to come by in your chosen field. Data Science International Certifications prove that you have the skills and expertise you claim.
- Post Graduate Data Science Certification Program (IBM – Purdue University):
This postgraduate program will provide you with a thorough understanding of core ideas and techniques of Data Science. Enrolling in the program will help you learn about broad Data Science topics including statistics, key programming languages, Machine Learning methods, and more. Experienced Purdue University professors created the curriculum, which is recognized as one of the top research and teaching institutes in the world.
Duration: 12 months, 5-10 hours/week.
- Data Science Online (Berkeley Executive Education):
This Berkeley Executive Education Curriculum is an eight-module, ten-week program that will teach you all you need to know about Data Science. Basic mathematics and statistical concepts such as mean, standard deviation, graphs, histograms, and logarithmic functions will be covered in the course, followed by advanced topics such as predicting Machine Learning, advanced regression models, and forming successful Data Science teams.
Duration: 10 weeks, 4-5 hours/week.
- IBM Data Science Certification (Coursera):
This is one of the greatest Data Science courses you will discover online if you want to pursue a career in Data Science or Machine Learning. This certification is made up of a series of nine courses that will help you learn the abilities you’ll need to work on industry projects. Data visualization, analysis, libraries, and open-source tools are among the subjects covered in the courses.
Duration: 3 to 5 weeks per course, 2 to 7 hours per week.
- Professional Certificate in Data Science from Harvard University (edX):
This Harvard Data Science Certification program will teach you the fundamentals of Data Science, such as R and Machine Learning. R Basics, Visualization, Probability, Inference and Modeling, Productivity Tools, Wrangling, Linear Regression, and Machine Learning are the courses that make up this curriculum, including a Capstone project to put what you’ve learned to the test.
Duration: 9 courses, 2 to 8 weeks per course, 2-4 hours per week.
- Applied Data Science with Python Certification (University of Michigan):
This 5-course program from the University of Michigan will teach you how to use the Python programming language to study Data Science. To make sense of data, you’ll require a basic understanding of Python and will be taught how to use popular Python toolkits like pandas, matplotlib, nltk, and networkx. Applied Plotting, Charting, and Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis are among the topics covered in the five courses.
Duration: 5 months, 7 hours per week.
- Data Science MicroMasters Certification by UC SanDiego (edX):
This is essentially an online version of UC San Diego’s master’s degree program in Data Science. This program, which takes place over several months, is excellent for students and professionals searching for an intensive learning experience that delves deep into the ideas of Data Science. Python for Data Science, Probability and Statistics, Machine Learning Fundamentals, and Big Data Analytics with Spark are among the courses offered in this program.
Duration: 4 courses, 10-15 weeks per course.
- Professional Certificate in Applied Data Science (Dartmouth College):
This certification program from Thayer School of Engineering is the ideal option for you if you want to get a professional degree in Data Science. You will be able to gain high-demand skills in today’s employment market, such as Data Visualization, Risk Management, Machine Learning, and predictive capacities, by taking this course. It will guide you through live coding sessions and application-based tasks to help you grasp the fundamentals of Python coding.
Duration: 6 months
- Dell EMC Proven Professional Certification Program:
Dell EMC essentially provides a Data Science associate certification. After completing the associate’s degree program, you can continue to the specialist’s degree program, which includes topics including natural language processing, advanced analytical methods, Hadoop, Pig, Hive, HBase, and visualization approaches.
Duration: Self-paced
- MIT Data Science and Statistics Certificate (edX):
This five-part series will help you enhance your Data Science, statistics, and Machine Learning foundations. The journey will start with the fundamentals of probability, Machine Learning Algorithms, and statistics before progressing to Data Analysis techniques. To get the most out of this certification, you should have college-level mathematics, mathematical reasoning, and Python programming skills.
Duration: 5 courses, 2 to 16 weeks per course.
- Data Science Council of America (DASCA) Principal Data Scientist (PDS):
The Data Science Council of America (DASCA) provides the Principal Data Scientist (PDS) credential, which has three tracks for data scientists with 10 years or more of Big Data expertise. The course covers everything from fundamental to advanced Data Science topics, including Big Data best practices, data-driven business strategies, cross-organizational collaboration, Machine Learning, natural language processing, scholastic modeling, and more.
Duration: Self-paced.
Source: analyticsinsight.net
