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Are you on a new journey to start a new career in the world of data?
If yes, continue reading this blog. When people are transitioning into a new career, they often feel confused about which path to take. My advice would be to follow the path that will provide you with all the knowledge and skills you need to be prepared for the job.
Yes, you can get the same results with a bachelor's or master's degree, but what if you could do it faster with a certification?
Certifications approved and recognized by industry experts.
Link: Data Analyst Certification
#1 Data Analytics Certification by Forbes!
If you want to become a data analyst, you can get certified in 30 days with this certification. With this certification, you will showcase your knowledge and skills on how to address business-critical issues and provide insights to stakeholders.
You will have 30 days to complete this certification, where you will have timed exams and a practical example. In order to obtain this certification, you must be able to:
- Perform standard data extraction, joining, and aggregation tasks.
- Evaluate data quality and perform validation tasks.
- Perform standard cleanup tasks to prepare data for analysis.
- Calculate metrics to effectively report data characteristics and relationships between characteristics.
Your timed exam will cover data management, exploratory analysis and statistical experimentation. The practical exam will cover data management, exploratory analysis and communication.
Link: Data Scientist Certification
Data analysts and data scientists are similar in certain roles and responsibilities, but they also have their differences. If you are looking to become a data scientist, this certification will get you the job you want.
In this certification, you will have two timed exams that you can complete in 2 hours and two attempts, after a practical exam, which you must complete in 30 days. To be successful in this certification, you will need to be able to:
- Demonstrate that you can collect, analyze and interpret large amounts of data using machine learning and artificial intelligence.
- Effectively communicate the results of your analysis to business stakeholders.
Link: Data Engineer Certification
The demand for data engineers is increasing every day, as businesses large and small need people who can manage and make sense of data more than ever.
This is another certification that can be completed in 30 days! You will have two timed exams that you can complete in 2 hours and make two attempts, after a practical exam. In this practical exam you will have four hours and two attempts where it will be automatically graded, informing you of your results instantly.
To be successful in this certification, you will need to be able to:
- Collect and preprocess large amounts of data.
- Demonstrate that you can obtain data in a format suitable for an organization's data users.
Link: SQL Associate Certification
Like data engineers, SQL associates are also in high demand for their skills in processing, evaluating, and analyzing big data.
A certification that must be completed within 30 days and consists of a timed exam (SQ101) and a practical exam (SQ501P). For the timed exam, you will have two hours to complete the exam and you can try again. For the practical exam you will have four hours and two attempts.
To be successful in this certification, you will need to be able to:
- Demonstrate that you are able to use SQL to extract appropriate data from a database.
- And then use it to answer common data questions.
Earning a certification from an industry-recognized platform enhances your professional credibility and expands your career opportunities. These 4 certifications were created by industry leaders based on the latest market demands.
Once you've earned your certification, you'll be able to access DataCamp's exclusive certification community, where you'll connect with other professionals and explore content curated specifically for the community.
nisha arya is a data scientist and freelance technical writer. She is particularly interested in providing professional data science advice or tutorials and theory-based insights into data science. She also wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. A great student looking to expand her technological knowledge and writing skills, while she helps guide others.
